CN104484750B - The product parameters automatic matching method and system of biological information project - Google Patents
The product parameters automatic matching method and system of biological information project Download PDFInfo
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Abstract
Disclose a kind of product parameters automatic matching method of biological information project, including step：When the type of sub-project only to filter sub-project, configured according to the default default parameters of sample situation Auto-matching and with unified filter criteria to being filtered and being analyzed through machine data under the sample after the completion of sequencer, generate analysis result；When the type of sub-project is normalizer project, the corresponding sample of the sub-project is while through sequencer, normal process analysis is created to the sample, corresponding alignment parameters and filtration parameter are inputted according to the sample situation of current sub-project by user in each normal process analytic process is created；Each sample data is filtered and compared according to the default filtration parameter of sample situation Auto-matching and alignment parameters, so as to remove the sample data for not meeting alignment parameters；Then again with created normal process analysis to meeting filtration parameter and each sample data after comparison is analyzed, so as to generate analysis result.
Description
Technical field
The present invention relates to analysis of biological information field, more particularly to a kind of product parameters Auto-matching of biological information project
Method and system.
Background technology
With the fast development of life science experimental technique, the automation of scientific instrument, intelligent level increasingly carry
Height, data output capacity have qualitative leap.Meanwhile life science to analysis test requirement no matter sample size,
Analytical cycle, analysis project and data accuracy etc. are proposed higher standard and the request, biology laboratory output
Information increases by geometric progression.
In traditional biology laboratory, since data type is various, form differs, the preservations of data, exchange, inquiry,
Analysis, maintenance are all very inconvenient, and the information seriously hindered between researcher is submitted.In large-scale parallel sequencing (under also crying
Generation sequencing technologies, high-flux sequence, English：NGS, High-throughput Sequencing) experiment and biological information
A variety of flows for arriving involved in credit analysis, as DNA library is built, gene order-checking, data processing, interpretation of result, achievement output,
Multiple links such as data sharing, each link have different technical staff to participate in, therefore in links transmission or accepting
The problems such as information loss or inefficiency etc. occurs.Sequencing especially in bioinformatics, high-performance calculation link, specially
Industry sequencing laboratory needs to receive substantial amounts of sequencing order items, arranges sequencing experiment, the sequencing knot of timely processing high speed output
Fruit.
In the link after the completion of sequencing in bioinformatics, all items have corresponding service line project team to do.
Service line, which had not only been done, only to be filtered, but also is standardized, and does personalization.Also pass through 1. project managements project verification, 2. information Mans are responsible for
People's examination ＆ approval, 3. information executors confirm that 4. arrange to run flow, and 5. reports are filled in, and 6. deliver, the processes such as 7. project managements are linked up,
Therefore the originally limited resource of service line is consumed.
Wherein, for the flow of each type entry, parameter is independently arranged by corresponding service line, is often run once, if
Put once, run.There are it is following the problem of：1st, sample number difference causes parameter setting different；2nd, in parameter setting procedure
Because the factors such as sample ID, large scale computer nonrecognition, cause mistake.
The content of the invention
It is an object of the invention to provide the product parameters automatic matching method and system of a kind of biological information project, can directly and
Product type associates, the sample situation of machine data under Auto-matching, Automatic-searching path, so as to reduce what is artificially set
The various criterion problem of issuable error and each service line.
The present invention provides a kind of product parameters automatic matching method of biological information project, including step：
Step 1：Establishment project is simultaneously stored in business management system, and each project includes more sub-projects；And described in selecting
Sub-project and mission bit stream in establishment project；The type of the sub-project includes only filtering sub-project and normalizer project；
Step 2：When the sub-project type for only filtering a sub-project, then according to the sub-project type and task of selection
Information, obtains sample data corresponding and after sequencer from lower machine data management system successively；And often obtain
One sample data, i.e., configure according to the default default parameters of sample situation Auto-matching and use unified filter criteria to carry out
Filtering and analysis, so as to filter the sample data for not meeting default parameters configuration；And all samples data filtering to be obtained with
After having analyzed, analysis result is generated, analysis result includes sub-project information and corresponding sample message；
Step 3：When the type of the sub-project is normalizer project, then the corresponding sample of the sub-project is through surveying
While sequence instrument is sequenced, filter analysis, express spectra quantitative analysis are included to sample establishment, comparison in difference is analyzed, Cluster gathers
One or more normal process analyses in alanysis, microRNA target prediction analysis, KOGO analyses and base editor analysis, and
Create in each normal process analytic process by user according to the sample situation of current sub-project input corresponding alignment parameters and
Filtration parameter；After the completion of sequencer, according to the default filtration parameter of sample situation Auto-matching and alignment parameters to every
A sample data are filtered and compared, so as to remove the sample data for not meeting alignment parameters；Then use what is created again
Normal process analysis to meeting filtration parameter and each sample data after comparison is analyzed so that default parameters and
The alignment parameters of the input analyze corresponding filter criteria with created normal process and each sample data were carried out
Filter and analysis, so as to filter the sample for not meeting default parameters and alignment parameters；And treat all samples data filtering and analysis
After complete, analysis result is generated, analysis result includes sub-project information and corresponding sample message；Step 4：According to sample situation
The default filtering of Auto-matching/Quality Control parameter to the analysis result to carry out contrast Quality Control, if Quality Control is by directly exporting
The analysis result；If Quality Control is by the way that and the analysis result and the gap of quality control standard then update in threshold range
Filtering and the analytic process of step 2 or step 3 are carried out after the sample data or filtering/Quality Control parameter again, until point
Analysis result passes through Quality Control；If Quality Control is by the way that and the analysis result and the gap of quality control standard exceed threshold value, then described in editor
Sample and discarded correlation Lane, and place an order again in the business management system.
As the improvement of above-mentioned technical proposal, the summary info per sub-project include sub-project code, sub-project title,
Whether sub-project type, be filtering, total sample number, executor, starting and end time, sub-project state and a son
Project relevant operation.
As the improvement of above-mentioned technical proposal, the sample message includes sample ID, library title, Lane ID, sequencing
Strategy, Flowcell ID, Raw data, Raw Reads, Read Length, GC%, Q20%, Q30%, Error Rate,
Base distribution figure and base Quality Control distribution map.
As the improvement of above-mentioned technical proposal, further include：
Step 5：The analysis result is subjected to storage backup.
As the improvement of above-mentioned technical proposal, in the step 4：If Quality Control not by and the analysis result and matter
The gap of control standard is that can be criticized with single sample data edition or sample updating the sample data in threshold range
Amount editor.
The invention also discloses a kind of product parameters automatic patching system of biological information project, including：
Creating unit, for creating project and being stored in business management system, each project includes more sub-projects；And select
Select the sub-project and mission bit stream in the establishment project；The type of the sub-project includes only filtering sub-project and normalizer
Project；
First filter analysis unit, is only filtering sub-project for the type when the sub-project, then according to the son of selection
Item types and mission bit stream, obtain sample corresponding and after sequencer from lower machine data management system successively
Data；And often obtain a sample data, i.e., according to the default default parameters configuration of sample situation Auto-matching with unification
Filter criteria is filtered and analyzed, so as to filter the sample data for not meeting default parameters configuration；And all samples to be obtained
Product data filtering and after analyze, generation analysis result, analysis result includes sub-project information and corresponding sample message；
Second filter analysis unit, for when the type of the sub-project is normalizer project, then the sub-project pair
For the sample answered while through sequencer, which, which is created, includes filter analysis, express spectra quantitative analysis, comparison in difference
One or more marks in analysis, Cluster cluster analyses, microRNA target prediction analysis, KOGO analyses and base editor analysis
Quasi- process analysis, and in each normal process analytic process is created by user according to the input pair of the sample situation of current sub-project
The alignment parameters and filtration parameter answered；After the completion of sequencer, according to the default filtration parameter of sample situation Auto-matching
Each sample data is filtered and compared with alignment parameters, so as to remove the sample data for not meeting alignment parameters；Then
Again with created normal process analysis to meeting filtration parameter and each sample data after comparison is analyzed, from
And analysis result is generated, analysis result includes sub-project information and corresponding sample message；Quality Control unit, for according to sample feelings
The default filtering of condition Auto-matching/Quality Control parameter to the analysis result to carry out contrast Quality Control, direct defeated if Quality Control passes through
Go out the analysis result；If Quality Control is by the way that and the analysis result and the gap of quality control standard are then compiled again in threshold range
Filtering and the analytic process of step 2 or step 3 are carried out after volume sample data or filtering/Quality Control parameter again, until
Analysis result passes through Quality Control；If Quality Control is by the way that and the analysis result and the gap of quality control standard exceed threshold value, then editor institute
Sample and discarded correlation Lane are stated, and is placed an order again in the business management system.
As the improvement of above-mentioned technical proposal, the summary info per sub-project include sub-project code, sub-project title,
Whether sub-project type, be filtering, total sample number, executor, starting and end time, sub-project state and a son
Project relevant operation.
As the improvement of above-mentioned technical proposal, the sample message includes sample ID, library title, Lane ID, sequencing
Strategy, Flowcell ID, Raw data, Raw Reads, Read Length, GC%, Q20%, Q30%, Error Rate,
Base distribution figure and base Quality Control distribution map.
As the improvement of above-mentioned technical proposal, further include：
Storage unit：For storage backup will to be carried out by the analysis result of Quality Control.
As the improvement of above-mentioned technical proposal, in the Quality Control unit：If Quality Control not by and the analysis result and
The gap of quality control standard in threshold range, update the sample data be can be with single sample data edition or sample
Batch is edited.
Compared with prior art, the product parameters automatic matching method of biological information project disclosed by the invention and system tool
Have the advantages that：By directly being associated with product type, the sample situation of machine data, Automatic-searching under Auto-matching
Path.So as to summarize the parameters of all service lines, reached standardization, it is unitized, reduce artificially set there may be
Error, and the various criterion problem of each service line.
Brief description of the drawings
Fig. 1 is a kind of flow signal of product parameters automatic matching method of biological information project in the embodiment of the present invention
Figure.
Fig. 2 shows the idiographic flow of the step S2 in Fig. 1.
Fig. 3 shows the idiographic flow of the step S3 in Fig. 1.
Fig. 4 shows the idiographic flow of the step S4 in Fig. 1.
Fig. 5 shows the idiographic flow of the step S5 in Fig. 1.
Fig. 6 is a kind of structural representation of the product parameters automatic patching system of biological information project in the embodiment of the present invention
Figure.
Fig. 7 shows UI pages of one embodiment of the product parameters automatic patching system of the thing information project of the invention that grows directly from seeds
The screenshot capture in face, the sectional drawing show the selective listing of sub-project.
Fig. 8 shows UI pages of one embodiment of the product parameters automatic patching system of the thing information project of the invention that grows directly from seeds
The screenshot capture in face, the sectional drawing show the summary info of every sub-project.
Fig. 9 shows UI pages of one embodiment of the product parameters automatic patching system of the thing information project of the invention that grows directly from seeds
The screenshot capture in face, the sectional drawing show the parameter setting interface for only filtering sub-project.
Figure 10 shows the UI of one embodiment of the product parameters automatic patching system of the thing information project of the invention that grows directly from seeds
The screenshot capture of the page, the sectional drawing show parameter setting interface and the normal process analysis selection interface of normalizer project.
Embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment, belongs to the scope of protection of the invention.
It is a kind of product parameters automatic matching method of biological information project provided in an embodiment of the present invention referring to Fig. 1
Structure diagram.The product parameters automatic matching method of the biological information project, including step：
S1：Establishment project is simultaneously stored in business management system, and each project includes more sub-projects；And select the establishment
Sub-project and mission bit stream in project；The type of the sub-project includes only filtering sub-project and normalizer project；
In this step, the selected summary info per sub-project includes sub-project code, sub-project title, subitem
Whether mesh type, be filtering, total sample number, executor, starting and end time, sub-project state and a sub-project
Relevant operation.
S2：When the type of the sub-project is an only filtering sub-project, then according to the sub-project type and mission bit stream of selection,
Sample data corresponding and after sequencer is obtained from lower machine data management system successively；And often obtain a sample
Product data, i.e., filtered with being divided according to the default default parameters configuration of sample situation Auto-matching with unified filter criteria
Analysis, so as to filter the sample data for not meeting default parameters configuration；And all samples data filtering to be obtained and after having analyzed,
Analysis result is generated, analysis result includes sub-project information and corresponding sample message；
In this step, the sample message include sample ID, library title, Lane ID, sequencing strategy,
Flowcell ID, Raw data, Raw Reads, Read Length, GC%, Q20%, Q30%, Error Rate, base point
Butut and base Quality Control distribution map.
S3：When the type of the sub-project is normalizer project, then the corresponding sample of the sub-project is through sequenator
While sequencing, which, which is created, includes filter analysis, express spectra quantitative analysis, comparison in difference analysis, Cluster clusters point
One or more normal process analyses in analysis, microRNA target prediction analysis, KOGO analyses and base editor analysis, and creating
Corresponding alignment parameters and filtering are inputted according to the sample situation of current sub-project by user in each normal process analytic process
Parameter；After the completion of sequencer, according to the default filtration parameter of sample situation Auto-matching and alignment parameters to as every
Product data are filtered and compared, so as to remove the sample data for not meeting alignment parameters；Then created standard is used again
Process analysis is to meeting filtration parameter and each sample data after comparison is analyzed, so that analysis result is generated, point
Analysis result includes sub-project information and corresponding sample message；
S4：According to the default filtering of sample situation Auto-matching/Quality Control parameter to carry out contrast matter to the analysis result
Control, if Quality Control is by directly exporting the analysis result；If Quality Control is not by and the analysis result and the difference of quality control standard
Away from carrying out step S2 or step again after in threshold range, then updating the sample data or filtering/Quality Control parameter
The filtering of S3 and analytic process, until analysis result passes through Quality Control；If Quality Control is not by and the analysis result and quality control standard
Gap exceed threshold value, then edit the sample and discarded correlation Lane, and place an order again in the business management system.
S5：The analysis result is subjected to storage backup.
The filter analysis of the present invention is to be distinguished according to the type of sub-project for only filtering sub-project or normalizer project
Carry out, be described in detail separately below by Fig. 2 and Fig. 3.
As shown in Fig. 2, the process of filter analysis is carried out to sample message when the type of sub-project is only filters sub-project
Including step：
S201：Detect corresponding one and machine under sample (sample) is only sequenced；
In this step, lower machine refers to the sample data for completing to obtain after sequencing by sequenator by sample data.
S202：Sample is sequenced to this according to the default default parameters configuration of sample situation Auto-matching to be filtered with being divided
Analyse (run)；
In the step, with unified filter analysis standard (and the default default parameters of Auto-matching configures) to each
Only the lower machine data of sequencing sample carry out, so as to filter out non-compliant lower machine data.S203:Determine the sub-project
(project) it is complete with analysis (run) whether all sequencing samples (sample) filterIf so, step S204 is then carried out, it is no
Then return to step S202；
S204：Generate analysis result.
As shown in figure 3, the process of filter analysis is carried out to sample message when the type of sub-project is normalizer project
Including step：
S301：Detect machine on a normalized sample (sample)；
In this step, upper machine refers to sample data uploading to sequenator to be sequenced.
S302：One or more normal process analyses are created to the normalized sample, and create the same of normal process analysis
When by the corresponding alignment parameters of user setting；The normal process analysis include but not limited to filter analysis, express spectra quantitative analysis,
Comparison in difference analysis, Cluster cluster analyses, microRNA target prediction analysis, KOGO analyses and base editor analysis
S303：Machine under sample selected by detection (sample)；
In this step, lower machine refers to the sample data for completing to obtain after sequencing by sequenator by sample data.
S304：Each sample data was carried out according to the default filtration parameter of sample situation Auto-matching and alignment parameters
Filter and comparison, so as to remove the sample data for not meeting alignment parameters；Then again with created normal process analysis to symbol
Close filtration parameter and each sample data after comparison is analyzed；
S305:Determine whether all normalized samples (sample) of the sub-project (project) filter and analysis (run)
It is completeIf so, then carry out step S306, otherwise return to step S304；
S306：Generate analysis result.
It is the analysis knot to being obtained after any one sample data progress filter analysis in a sub-project with reference to figure 4
Fruit carries out the process of Quality Control, and paying attention to Quality Control is just carried out after the sample data analysis of all samples of sub-project has been filtered,
And Quality Control is carried out successively to each sample, specifically include step：
S401：Detect that some sample completes filter analysis, and generate analysis result；
S402：Quality Control is carried out to the analysis result；
Specifically contrasted according to the default filtering of sample situation Auto-matching/Quality Control parameter with analysis result, so that
Carry out Quality Control.
S403：Judge Quality Control whether by if Quality Control is by entering step S404, otherwise entering step S405；
S404：Export the analysis result；
S405：The gap of the analysis result and quality control standard is judged whether not in threshold range (i.e. gap is too big),
If otherwise entering step S406, step S408 is otherwise transferred to；
S406：Update the sample data or filtering/Quality Control parameter；
In this step, can be edited with single sample data edition or sample batch.
S407：The sample data is filtered and analyzed again according to sub-project type, generates analysis result again；And
Return to step S402；
S408:The sample and discarded correlation Lane are edited, and in BMS (Business Management System, industry
Business management system) in place an order again；
S409：Wait machine under new sample data and the sub-project type according to sample and carry out corresponding filtering
With analysis, analysis result, and return to step S402 are generated；
Then, after all samples data of a sub-project carry out Quality Control, then a QC report is generated.
With reference to figure 5, the process that storage backup is carried out to the analysis result of sample data specifically includes step：
S501：Sample data is analyzed；
S502：Judge whether the sample analysis is completedIf so, then entering step S503, otherwise continue step S501；
S503：Activation system device backup function is available；
S504：User confirms to back up, and clicks on " backup "；
S505：System prompt backup request is submitted；
S506：System copies data to delivery system；
S507：Judge whether copy succeedsIf so, then entering step S509, S508 is otherwise entered step：
S508：Prompt user ID error, and return to step S504.
S509：Prompt user ID success；And terminate.
As it can be seen that the product parameters automatic matching method of biological information project disclosed in the present embodiment, passes through direct and product
Type association is got up, the sample situation of machine data, Automatic-searching path under Auto-matching.So as to summarize the ginseng of all service lines
Number, has reached standardization, unitizes, and reduces the issuable error artificially set, and the various criterion of each service line
Problem.
Present invention also offers a kind of product parameters automatic patching system of biological information project, as shown in fig. 6, including wound
Unit 10, the first filter analysis unit 20, the second filter analysis unit 30, Quality Control unit 40 and storage unit 50 are built, wherein
Creating unit 10, the first filter analysis unit 20, the second filter analysis unit 30, Quality Control unit 40 and storage unit 50 can be with
It is incorporated into a background server, and front end directly operates on webpage, is operated by user and input parameter, specifically
's：
Creating unit 10, for create project and be stored in business management system (Business Management System,
BMS, sequencing and the distribution of information analysis task and management system, contain the organizational informations such as sub-project, person liable, data) in, often
A project includes more sub-projects；And select the sub-project and mission bit stream in the establishment project；The type of the sub-project
Including only filtering sub-project and normalizer project；
As shown in fig. 7, one embodiment for the product parameters automatic patching system of thing information project that grows directly from seeds for the present invention
The screenshot capture of the UI pages, the sectional drawing show the selective listing of sub-project.More sub-projects are shown in the sub-project list,
And it is labeled as a filtering items (Y) or standardization project (N) per sub-project.And Fig. 8 is to specifically show a sub-project
Summary info.Per sub-project summary info include sub-project code, sub-project title, sub-project type, whether be only
Filtering, total sample number, executor, starting and end time, sub-project state and sub-project relevant operation.
First filter analysis unit 20, is only filtering sub-project for the type when the sub-project, then according to selection
Sub-project type and mission bit stream, successively from lower machine data management system (Data Management System, DMS, to sequencing
The lower machine data completed carry out quality monitoring and data management) in obtain corresponding and after sequencer sample number
According to；And often obtain a sample data, i.e., unified mistake is used according to the default default parameters configuration of sample situation Auto-matching
Filter standard is filtered and analyzed, so as to filter the sample data for not meeting default parameters configuration；And all samples to be obtained
Data filtering and after analyze, generation analysis result, analysis result includes sub-project information and corresponding sample message；
With reference to figure 9, be the present invention grow directly from seeds thing information project product parameters automatic patching system one embodiment UI
The screenshot capture of the page, the sectional drawing show the parameter setting interface for only filtering sub-project.
Second filter analysis unit 30, for when the type of the sub-project is normalizer project, then the sub-project
For corresponding sample while through sequencer, which, which is created, includes filter analysis, express spectra quantitative analysis, diversity ratio
Compared with one or more in analysis, Cluster cluster analyses, microRNA target prediction analysis, KOGO analyses and base editor analysis
Normal process is analyzed, and is inputted in each normal process analytic process is created by user according to the sample situation of current sub-project
Corresponding alignment parameters and filtration parameter；After the completion of sequencer, joined according to the default filtering of sample situation Auto-matching
Number and alignment parameters are filtered and compared to each sample data, so as to remove the sample data for not meeting alignment parameters；So
Afterwards again with created normal process analysis to meeting filtration parameter and each sample data after comparison is analyzed,
So as to generate analysis result, analysis result includes sub-project information and corresponding sample message；Wherein, the sample message includes
Sample ID, library title, Lane ID, sequencing strategy, Flowcell ID, Raw data, Raw Reads, Read
Length, GC%, Q20%, Q30%, Error Rate, base distribution figure and base Quality Control distribution map.
With reference to figure 10, be the present invention grow directly from seeds thing information project product parameters automatic patching system one embodiment UI
The screenshot capture of the page, the sectional drawing show parameter setting interface and the normal process analysis selection interface of normalizer project.
Quality Control unit 40, for being tied according to the default filtering of sample situation Auto-matching/Quality Control parameter to the analysis
Fruit carries out contrast Quality Control, if Quality Control is by directly exporting the analysis result；If Quality Control not by, and the analysis result and
The gap of quality control standard is then updated and (can edited with single sample data edition or sample batch) and is described in threshold range
The mistake of the first filter analysis unit 20 or the second filter analysis unit 30 is carried out after sample data or filtering/Quality Control parameter again
Filter and analytic process, until analysis result passes through Quality Control；If Quality Control is not by and the analysis result and the gap of quality control standard
More than threshold value, then the sample and discarded correlation Lane are edited, and place an order again in the business management system；And
Storage unit 50：The analysis result is backed up for storing.
As it can be seen that the product parameters automatic patching system of biological information project disclosed in the present embodiment, passes through direct and product
Type association is got up, the sample situation of machine data, Automatic-searching path under Auto-matching.So as to summarize the ginseng of all service lines
Number, has reached standardization, unitizes, and reduces the issuable error artificially set, and the various criterion of each service line
Problem.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (8)
1. a kind of product parameters automatic matching method of biological information project, it is characterised in that including step：
Step 1：Establishment project is simultaneously stored in business management system, and each project includes more sub-projects；And select the establishment
Sub-project and mission bit stream in project；The type of the sub-project includes only filtering sub-project and normalizer project；Each
The summary info of sub-project include sub-project code, sub-project title, sub-project type, whether be only a filtering, total sample number,
Executor, starting and end time, sub-project state and sub-project relevant operation；
Step 2：When the type of the sub-project is an only filtering sub-project, then according to the sub-project type and mission bit stream of selection,
Sample data corresponding and after sequencer is obtained from lower machine data management system successively；And often obtain a sample
Product data, i.e., configured according to the default default parameters of sample situation Auto-matching and with unified filter criteria carry out filtering with
Analysis, so as to filter the sample data for not meeting default parameters configuration；And all samples data filtering to be obtained is with having analyzed
Afterwards, analysis result is generated, analysis result includes sub-project information and corresponding sample message；
Step 3：When the type of the sub-project is normalizer project, then the corresponding sample of the sub-project is through sequenator
While sequencing, which, which is created, includes filter analysis, express spectra quantitative analysis, comparison in difference analysis, Cluster clusters point
One or more normal process analyses in analysis, microRNA target prediction analysis, KOGO analyses and base editor analysis, and creating
Corresponding alignment parameters and filtering are inputted according to the sample situation of current sub-project by user in each normal process analytic process
Parameter；After the completion of sequencer, according to the default filtration parameter of sample situation Auto-matching and alignment parameters to as every
Product data are filtered and compared, so as to remove the sample data for not meeting alignment parameters；Then created standard is used again
Process analysis is to meeting filtration parameter and each sample data after comparison is analyzed, so that analysis result is generated, point
Analysis result includes sub-project information and corresponding sample message；
Step 4：According to the default filtering of sample situation Auto-matching/Quality Control parameter to carry out contrast matter to the analysis result
Control, if Quality Control is by directly exporting the analysis result；If Quality Control is not by and the analysis result and the difference of quality control standard
Away from carrying out step 2 or step again after in threshold range, then updating the sample data or filtering/Quality Control parameter
Three filtering and analytic process, until analysis result passes through Quality Control；If Quality Control is not by and the analysis result and quality control standard
Gap exceed threshold value, then edit the sample and discarded correlation Lane, and place an order again in the business management system.
2. the product parameters automatic matching method of biological information project as claimed in claim 1, it is characterised in that the sample
Information include sample ID, library title, Lane ID, sequencing strategy, Flowcell ID, Raw data, Raw Reads,
Read Length, GC%, Q20%, Q30%, Error Rate, base distribution figure and base Quality Control distribution map.
3. the product parameters automatic matching method of biological information project as claimed in claim 1, it is characterised in that further include：
Step 5：The analysis result is subjected to storage backup.
4. the product parameters automatic matching method of biological information project as claimed in claim 1, it is characterised in that in the step
In rapid four：If Quality Control not by and the analysis result and the gap of quality control standard in threshold range, it is described updating
Sample data is can be edited with single sample data edition or sample batch.
A kind of 5. product parameters automatic patching system of biological information project, it is characterised in that including：
Creating unit, for creating project and being stored in business management system, each project includes more sub-projects；And select institute
State the sub-project and mission bit stream in establishment project；The type of the sub-project includes only filtering sub-project and standardization subitem
Mesh；Whether the summary info per sub-project includes sub-project code, sub-project title, sub-project type, is only filtering, total
Sample number, executor, starting and end time, sub-project state and sub-project relevant operation；
First filter analysis unit, is only filtering sub-project for the type when the sub-project, then according to the sub-project of selection
Type and mission bit stream, obtain sample number corresponding and after sequencer from lower machine data management system successively
According to；And often obtain a sample data, i.e., unified mistake is used according to the default default parameters configuration of sample situation Auto-matching
Filter standard is filtered and analyzed, so as to filter the sample data for not meeting default parameters configuration；And all samples to be obtained
Data filtering and after analyze, generation analysis result, analysis result includes sub-project information and corresponding sample message；
Second filter analysis unit, for when the type of the sub-project is normalizer project, then the sub-project to be corresponding
For sample while through sequencer, which, which is created, includes filter analysis, express spectra quantitative analysis, comparison in difference point
One or more standards in analysis, Cluster cluster analyses, microRNA target prediction analysis, KOGO analyses and base editor analysis
Process analysis, and inputted and corresponded to according to the sample situation of current sub-project by user in each normal process analytic process is created
Alignment parameters and filtration parameter；After the completion of sequencer, according to the default filtration parameter of sample situation Auto-matching and
Alignment parameters are filtered and compared to each sample data, so as to remove the sample data for not meeting alignment parameters；Then again
With the normal process analysis created to meeting filtration parameter and each sample data after comparison is analyzed, so that
Analysis result is generated, analysis result includes sub-project information and corresponding sample message；
Quality Control unit, for being carried out according to the default filtering of sample situation Auto-matching/Quality Control parameter to the analysis result
Quality Control is contrasted, if Quality Control is by directly exporting the analysis result；If Quality Control is not by and the analysis result and Quality Control mark
Accurate gap in threshold range, then update carry out again after the sample data or filtering/Quality Control parameter step 2 or
The filtering of person's step 3 and analytic process, until analysis result passes through Quality Control；If Quality Control is not by and the analysis result and matter
The gap of control standard exceedes threshold value, then edits the sample and discarded correlation Lane, and in the business management system again
Place an order.
6. the product parameters automatic patching system of biological information project as claimed in claim 5, it is characterised in that the sample
Information include sample ID, library title, Lane ID, sequencing strategy, Flowcell ID, Raw data, Raw Reads,
Read Length, GC%, Q20%, Q30%, Error Rate, base distribution figure and base Quality Control distribution map.
7. the product parameters automatic patching system of biological information project as claimed in claim 5, it is characterised in that further include：
Storage unit：For storage backup will to be carried out by the analysis result of Quality Control.
8. the product parameters automatic patching system of biological information project as claimed in claim 5, it is characterised in that in the matter
Control in unit：If Quality Control not by and the analysis result and the gap of quality control standard in threshold range, updating
It is that can be edited with single sample data edition or sample batch to state sample data.
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| CN103324866A (en) * | 2013-03-26 | 2013-09-25 | 张弘 | Ripple system |
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| CN103324866A (en) * | 2013-03-26 | 2013-09-25 | 张弘 | Ripple system |
| CN103993069A (en) * | 2014-03-21 | 2014-08-20 | 深圳华大基因科技服务有限公司 | Virus integration site capture sequencing analysis method |
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