CN113674805A - Optimized high-throughput biomedical experimental platform based on Hash algorithm - Google Patents

Optimized high-throughput biomedical experimental platform based on Hash algorithm Download PDF

Info

Publication number
CN113674805A
CN113674805A CN202010413788.4A CN202010413788A CN113674805A CN 113674805 A CN113674805 A CN 113674805A CN 202010413788 A CN202010413788 A CN 202010413788A CN 113674805 A CN113674805 A CN 113674805A
Authority
CN
China
Prior art keywords
throughput
sample
experimental
biomedical
hash algorithm
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010413788.4A
Other languages
Chinese (zh)
Inventor
甄伟哲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202010413788.4A priority Critical patent/CN113674805A/en
Publication of CN113674805A publication Critical patent/CN113674805A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00ICT programming tools or database systems specially adapted for bioinformatics
    • G16B50/30Data warehousing; Computing architectures

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioethics (AREA)
  • Biophysics (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses an optimized high-throughput biomedical experimental platform based on a Hash algorithm, which belongs to the technical field of biomedical engineering and comprises a data processor, a memory card and an automatic high-throughput experimental platform, wherein the data processor is used for collecting and editing information of an operation sample to be tested into sample codes according to a user-defined sequence, the data processor calculates the sample codes by using the Hash algorithm to obtain Hash values, namely storage addresses corresponding to sample experimental boxes, the storage addresses corresponding to all the sample experimental boxes are stored by the storage card, when the sample codes are input again after the automatic high-throughput experiment is finished, the operation is carried out again by the data processor, and the Hash values of the two operations are matched, so that the performances in the aspects of openness, independence and sharing of the optimized high-throughput biomedical platform are greatly improved, the power-assisted scientific research personnel accelerate the scientific research progress and avoid human errors in the process of using the high-flux biomedical platform.

Description

Optimized high-throughput biomedical experimental platform based on Hash algorithm
Technical Field
The invention relates to the technical field of hash algorithm and biomedical engineering, in particular to an optimized high-throughput biomedical experimental platform based on the hash algorithm.
Background
With the increasing demand of current scientific research personnel for scientific research, high-throughput experimental platforms are gradually entering laboratories of various academic institutions. The high-flux experiment platform can well relieve the experiment task load of scientific research personnel and reduce experiment errors and failures caused by artificial reasons. The current high-throughput biomedical platforms do not have very good performance. The use of the system is usually limited in a laboratory, because factors such as the probability of mistaken taking and preventing are easily increased, the common use of scientific research personnel in different laboratories cannot be met, or manual advance reservation and arrangement of the distribution use time are needed. In the face of a high-throughput experiment platform, scientific researchers may not find own experiment samples. Meanwhile, when a high-throughput experiment platform is shared and used by multiple laboratories, the problems that many samples are damaged unintentionally or privacy and independent intellectual property rights are damaged due to indirect disclosure of experimental research results occur.
Based on the above, the invention designs an optimized high-throughput biomedical experimental platform based on a hash algorithm to solve the above mentioned problems.
Disclosure of Invention
The invention aims to provide an optimized high-throughput biomedical experimental platform based on a hash algorithm, which is introduced into the function optimization design of the high-throughput biomedical platform based on the research and innovative development of the hash algorithm, so that the performances of the optimized high-throughput biomedical platform in various aspects such as openness, independence, sharing and the like are greatly improved, scientific research personnel are helped to accelerate the scientific research progress, the artificial errors in the process of using the high-throughput biomedical platform are avoided, and the scientific research activities are more intelligent, convenient and daily.
In order to achieve the purpose, the invention provides the following technical scheme: the optimized high-throughput biomedical experimental platform based on the Hash algorithm is composed of a data processor, a memory card and an automatic high-throughput experimental platform, wherein the data processor is used for collecting information of operation samples to be tested and editing the information into sample codes according to a user-defined sequence, the data processor uses the Hash algorithm to calculate the sample codes to obtain Hash values, namely storage addresses corresponding to sample experimental boxes, the storage cards are used for storing the storage addresses corresponding to all the sample experimental boxes, and after the automatic high-throughput experiment is completed, when the sample codes are input again, the operation is performed again through the data processor, and the Hash values of the two operations are matched.
Preferably, the experimental manipulation samples include, but are not limited to: laboratory name, experimenter name, experimental sample source, experimental project, sample number and experimental date.
Preferably, the information of the experimental operation sample is edited into a sample code in a custom sequence in a mode of abbreviation, shorthand or writing without omission.
Preferably, the automatic high-throughput experiment table is a high-throughput biomedical experiment platform which can be set by a program and can automatically perform multi-sample synchronous experiments.
Preferably, the use method of the optimized high-throughput biomedical experimental platform based on the hash algorithm specifically comprises the following steps:
the method comprises the steps that an experimenter writes sample codes according to a user-defined sequence of sample information, the samples are placed in an automatic high-throughput experiment table, the sample codes are input, a data processor operates according to the input sample codes according to a selected Hash algorithm, the operated Hash values serve as storage addresses of the samples and are stored in a storage card, then the automatic high-throughput experiment table performs automatic experiments, after the experiments are finished, the experimenter inputs the preset sample codes again, the Hash values obtained after the operation of the data processor are compared with all the Hash values stored in the storage card, and after the matching is successful, an experiment box corresponding to the storage addresses is opened, the experimental samples are taken away or corresponding experimental results are given.
Compared with the prior art, the invention has the beneficial effects that: based on the research and innovative development of the Hash algorithm, the Hash algorithm is introduced into the function optimization design of the high-flux biomedical platform, so that the performance of the optimized high-flux biomedical platform in various aspects such as openness, independence, sharing and the like is greatly improved, scientific research personnel are helped to accelerate the progress of scientific research, human errors in the process of using the high-flux biomedical platform are avoided, and the scientific research activity is more intelligent, convenient and daily.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the pre-experimental operation of the present invention;
FIG. 2 is a flow chart of the operation of the present invention after the experiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1-2, the present invention provides a technical solution: an optimized high-throughput biomedical experimental platform based on a Hash algorithm, which consists of a data processor, a memory card and an automatic high-throughput experimental platform,
the scientific research personnel edits the information of the operation sample to be tested (such as laboratory name, experimenter name, experimental sample source, experimental project, sample number, experimental date and the like) into a sample code according to a custom sequence in the modes of abbreviation, abbreviation or no-omission compiling and the like. The data processor uses a hash algorithm (e.g., MD4, MD5, etc.) to perform an operation on the sample code to obtain a hash value, i.e., a storage address corresponding to the sample experimental box. Because the number of experimental boxes of the current automatic high-throughput platform is limited, the probability of hash collision is negligible, that is, the situation that different sample codes corresponding to the same address do not appear in the current number of experimental boxes can be met. After the automatic high-throughput experiment is completed, when the experimenter inputs the sample code again, the data processor is used for calculating again, and the hash values of the two times of calculation are matched, so that the sample can be taken away or the experimental result of the sample can be obtained without error. And when the sample code input by the experimenter again is different from the sample code input for the first time, the hash value after the hash algorithm operation by the data processor cannot be matched, and the experimental sample cannot be taken away or the experimental result of the experimental sample cannot be obtained.
The memory card is mainly used for storing addresses corresponding to all experimental boxes.
The automated high-throughput experiment table refers to a currently used high-throughput biomedical experiment platform (e.g., a platform that can be used for automatically performing molecular biological experiments such as PCR and ELISA, or other experiments) that can be set by a program and can be used for automatically performing multi-sample synchronous experiments.
Example 2
Referring to fig. 1-2, the method for using the optimized high-throughput biomedical experimental platform based on the hash algorithm specifically includes the following steps:
the method comprises the steps that an experimenter writes sample codes according to a user-defined sequence of sample information, the samples are placed in an automatic high-throughput experiment table, the sample codes are input, a data processor operates according to the input sample codes according to a selected Hash algorithm, the operated Hash values serve as storage addresses of the samples and are stored in a storage card, then the automatic high-throughput experiment table performs automatic experiments, after the experiments are finished, the experimenter inputs the preset sample codes again, the Hash values obtained after the operation of the data processor are compared with all the Hash values stored in the storage card, and after the matching is successful, an experiment box corresponding to the storage addresses is opened, the experimental samples are taken away or corresponding experimental results are given.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (5)

1. An optimized high-throughput biomedical experimental platform based on a hash algorithm is characterized in that: the optimized high-throughput biomedical experiment platform consists of a data processor, a memory card and an automatic high-throughput experiment table, wherein the data processor is used for collecting information of operation samples to be tested and editing the information into sample codes according to a user-defined sequence, the data processor uses a Hash algorithm to calculate the sample codes to obtain Hash values, namely storage addresses corresponding to sample experiment boxes, the storage addresses corresponding to all the sample experiment boxes are stored through the storage cards, and after the automatic high-throughput experiment is completed, when the sample codes are input again, the operation is performed through the data processor again to match the Hash values of the two operations.
2. The optimized high-throughput biomedical experimental platform based on hash algorithm according to claim 1, characterized in that: the experimental manipulation samples include, but are not limited to: laboratory name, experimenter name, experimental sample source, experimental project, sample number and experimental date.
3. The optimized high-throughput biomedical experimental platform based on hash algorithm according to claim 1, characterized in that: and editing the information of the experimental operation sample into a sample code according to a custom sequence in a mode of abbreviation, shorthand or no writing omission.
4. The optimized high-throughput biomedical experimental platform based on hash algorithm according to claim 1, characterized in that: the automatic high-throughput experiment table is a high-throughput biomedical experiment platform which can be set by a program and can automatically carry out multi-sample synchronous experiments.
5. The optimized high-throughput biomedical experimental platform based on hash algorithm according to claim 1, characterized in that: the application method of the optimized high-throughput biomedical experimental platform based on the Hash algorithm specifically comprises the following steps:
the method comprises the steps that an experimenter writes sample codes according to a user-defined sequence of sample information, the samples are placed in an automatic high-throughput experiment table, the sample codes are input, a data processor operates according to the input sample codes according to a selected Hash algorithm, the operated Hash values serve as storage addresses of the samples and are stored in a storage card, then the automatic high-throughput experiment table performs automatic experiments, after the experiments are finished, the experimenter inputs the preset sample codes again, the Hash values obtained after the operation of the data processor are compared with all the Hash values stored in the storage card, and after the matching is successful, an experiment box corresponding to the storage addresses is opened, the experimental samples are taken away or corresponding experimental results are given.
CN202010413788.4A 2020-05-15 2020-05-15 Optimized high-throughput biomedical experimental platform based on Hash algorithm Pending CN113674805A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010413788.4A CN113674805A (en) 2020-05-15 2020-05-15 Optimized high-throughput biomedical experimental platform based on Hash algorithm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010413788.4A CN113674805A (en) 2020-05-15 2020-05-15 Optimized high-throughput biomedical experimental platform based on Hash algorithm

Publications (1)

Publication Number Publication Date
CN113674805A true CN113674805A (en) 2021-11-19

Family

ID=78537665

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010413788.4A Pending CN113674805A (en) 2020-05-15 2020-05-15 Optimized high-throughput biomedical experimental platform based on Hash algorithm

Country Status (1)

Country Link
CN (1) CN113674805A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102682116A (en) * 2012-05-14 2012-09-19 中兴通讯股份有限公司 Method and device for processing table items based on Hash table
CN105243320A (en) * 2015-10-26 2016-01-13 上海易码信息科技有限公司 Authentication method of cloud service platform on mobile application program
WO2017041606A1 (en) * 2015-09-11 2017-03-16 北京金山安全软件有限公司 Program file check method and apparatus, server, and terminal
CN107220326A (en) * 2017-05-23 2017-09-29 至本医疗科技(上海)有限公司 The information updating method and system of a kind of biomedical knowledge base

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102682116A (en) * 2012-05-14 2012-09-19 中兴通讯股份有限公司 Method and device for processing table items based on Hash table
WO2017041606A1 (en) * 2015-09-11 2017-03-16 北京金山安全软件有限公司 Program file check method and apparatus, server, and terminal
CN105243320A (en) * 2015-10-26 2016-01-13 上海易码信息科技有限公司 Authentication method of cloud service platform on mobile application program
CN107220326A (en) * 2017-05-23 2017-09-29 至本医疗科技(上海)有限公司 The information updating method and system of a kind of biomedical knowledge base

Similar Documents

Publication Publication Date Title
Rivera-Colón et al. Population genomics analysis with RAD, reprised: Stacks 2
Guo et al. Machine learning in tissue engineering
Knowles et al. Grape RNA-Seq analysis pipeline environment
CN101714187B (en) Index acceleration method and corresponding system in scale protein identification
Wang et al. The evolution of calcification in reef-building corals
CN107122626A (en) The method and system of the bioinformatic analysis of two generations sequencing DNA mutation detection
Blow Biobanking: freezer burn
CN113674805A (en) Optimized high-throughput biomedical experimental platform based on Hash algorithm
CN111580852B (en) Method and system for identifying software change influence range
CN117238376A (en) Virus vector sequence analysis system and method based on second-generation sequencing technology
McDonald Principles of research tissue banking and specimen evaluation from the pathologist's perspective
Beal et al. Standardized Representation of Parts and Assembly for Build Planning
Mir et al. In vivo ChIP-Seq of nuclear receptors: a rough guide to transform frozen tissues into high-confidence genome-wide binding profiles
CN112037874B (en) Distributed data processing method based on mapping reduction
Vaskin et al. ExpertDiscovery and UGENE integrated system for intelligent analysis of regulatory regions of genes
de Ronde et al. Mesoscopic statistical properties of multistep enzyme-mediated reactions
Zakeri et al. A like-for-like comparison of lightweight-mapping pipelines for single-cell RNA-seq data pre-processing
Yu et al. TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs
US20190050531A1 (en) Dna sequence processing method and device
CN117234694B (en) Data management method and system based on SEDA thread scheduling
Yang et al. Cloud accelerated alignment and assembly of full-length single-cell RNA-seq data using Falco
Brunner et al. Building a genome archiving and communication system integrated into a health information systems
CN115712622B (en) Electric power transaction data processing method, system, computer device and storage medium
CN115910309B (en) Method, system, equipment and medium for generating medical examination bar code
Cottingham Human Toponome Project| Human Proteinpedia is open for (free) business

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination