KR101874527B1 - Method for gene analysis judgement and recording medium storing program for executing the same, and recording medium storing program for executing the same - Google Patents

Abstract

The present invention relates to a gene analysis judging method, recording medium storing a program for executing the same, and a computer program stored in medium for implementing the same. More specifically, the present invention provides a gene analysis judging method which utilizes a gene analysis device, receives analyzed base sequence information and statistically interprets the information, recording medium storing a program for executing the same, and a computer program stored in medium for implementing the same. The gene analysis judging method comprises: an original gene interpreting result inputting step (S10); a tracking database storing step (S20); a request gene interpreting result inputting step (S30); a laboratory information management system (LIMS) database storing step (S40); a gene interpreting step (S50); and a displaying step (S60).

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a genetic analysis determination method, a recording medium storing a program for implementing the method, and a computer program stored in a medium for implementing the same. 2. Description of the Related Art [0002]

The present invention relates to a gene analysis determination method, a recording medium storing a program for implementing the method, and a computer program stored in a medium for implementing the method. More particularly, the present invention relates to a gene analysis method, And a computer program stored in a medium for implementing the program.

Useful Resources Accelerating the study of genome detoxification, competition for securing source technologies of each country is becoming fierce.

In particular, the standardization of genome information for each sector is becoming an urgent task in order to maximize utilization of the data generated by the genome project centered on consumers (national, research, industry).

This is because big data genome information is a core base technology for discovering biotech materials and developing varieties.

In particular, the scope of DNA analysis system is expanding to include individuals, beyond companies, laboratories, hospitals, and food delivery. Starting in 2015, pork traceability systems are beginning to spread. As a result, the need for diversification in the development of DNA analysis systems is increasing.

DNA identity testing is the only way to ensure that consumers can trust their beef's history information to ensure that it is being delivered accurately through production, slaughter, processing, and sales stages. , And that the same DNA structure is used in the same individual, and whether or not the meat produced and slaughtered are in agreement with the meat being sold is checked by gene detection.

This will ensure that the beef traceability system is validated and that it will be trusted by consumers, Safety, and indication of origin. When such a follow-up inspection system is established, the genetic information of Korean cattle is converted into a database, It can strengthen the competitiveness of.

A variety of DNA analysis systems and related companies around the world are forming the market for DNA analysis, and the technology for DNA analysis continues to evolve.

In addition, it is spurring research on genome (DNA) detoxification of its own biological resources so that the importation price of biological resources is expected to rise due to the enactment of the protocol of October 12, 2012, and countries enter the "genetic development war".

Therefore, the role of bioinformation system (DNA analysis system) is increasing very much. This is because big data genome information is a key technology for discovering bio-materials and developing varieties.

In the conventional bioinformation system (DNA analysis system), 1: 1 comparative analysis in which only one sample is loaded at the time of matching can be performed, and other 1: N, N: N analysis and comparative analysis are impossible.

Also, since it is developed in the Python language, there is a problem that it takes much time to compare and analyze the data.

In addition, there was an error and time-consuming problem (up to 30 minutes) when uploading the analysis results.

Korean Unexamined Patent Publication [10-2011-0020933] discloses a genotype analysis method and its means for use in a hysteresis tracking system.

Korean Published Patent [10-2011-0020933] (Open date: March 03, 2011)

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a genetic analysis determination method for analyzing nucleotide sequence information analyzed using a genetic analysis device and analyzing the information in a statistical sense, And a computer program stored in the medium to implement the recording medium.

The objects of the embodiments of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description .

According to an aspect of the present invention, there is provided a gene analysis determination method comprising a program type executed by an arithmetic processing means including a computer, A step (S 10) of inputting the original gene analysis result, which is inputted as the text information, of the result of analyzing the base sequence of the organism, (S20) for storing the nucleotide sequence information in a tracking database according to a predetermined database table based on the text information inputted in the input step (S10) of the original gene analysis result; A step S30 of inputting a referral gene analysis result in which a result of analyzing the nucleotide sequence of the organism, which is inspected by the arithmetic processing means with the gene analysis equipment, is input as text information; A rim database storing step (S40) of storing the nucleotide sequence information in a rim database according to a predetermined database table based on the text information input by the operation processing means in the step S30 of inputting the request gene analysis result; The arithmetic processing means compares the nucleotide sequence information stored in the rinsing database with the nucleotide sequence information stored in the tracking database in the tracking database storing step (S20) in the rinsing database storing step (S40) Step S50; And a display step (S60) in which the calculation processing means displays the result interpreted in the gene analysis step (S50) on the screen.

Also, the database storing step S40 may include storing the text information inputted in the gene analysis result input step S30 in the rim database according to the database table by using a batch program for periodically performing a specific operation .

In addition, the database table is characterized by being made on the basis of genetic marker information.

The gene marker information includes information on BM1824, BM2113, ETH10, ETH225, ETH3, INRA23, SPS115, TGLA122, TGLA126, TGLA227 and TGLA53.

In the gene analysis step (S50), the nucleotide sequence information stored in the rims database is compared with other nucleotide sequence information stored in the tracking database to perform DNA identity checking to determine whether there is the same nucleotide sequence information.

In the gene analysis step S50, if there is no nucleotide sequence information identical to the nucleotide sequence information stored in the rinsing database, the most similar type of nucleotide sequence information is extracted in the tracking database, S60) displays the nucleotide sequence information of the most similar type extracted in the gene analysis step (S50), and makes it possible to compare the portions of the genotype that are not correct or correctly displayed with a specific color (yellow) .

The gene analysis step (S50) is characterized in that the comparative analysis is performed based on one or a plurality of pieces of information selected from gene frequencies, gene viseets, and gene panel information.

According to an embodiment of the present invention, there is provided a computer-readable recording medium on which a program for implementing the gene analysis determination method is stored.

According to an embodiment of the present invention, a program stored in a computer-readable recording medium is provided to implement the gene analysis determination method.

According to the gene analysis determination method, the recording medium storing the program for implementing the method, and the computer program stored in the medium for implementing the method, the present invention is implemented based on an open source-based universal JAVA technology, By simplifying the design so that the nucleotide sequence information is stored in the database according to the table, development and maintenance are very easy.

In addition, although 1: N analysis and comparative analysis other than 1: 1 comparative analysis were impossible in the past, the present invention can be applied to a 1: N and N: N comparative analysis By designing, it is possible to shorten the DNA analysis time and reduce the cost.

In addition, since the test sample (specimen of the commissioned sample) and the comparative analytical specimen (specimen of the original sample) can be automatically matched, the time required for the comparative analysis can be reduced.

In addition, the base sequence information is automatically stored in the database by using a batch program, so that the base sequence analysis result can be uploaded to the database more quickly and accurately.

In addition, by creating a database table based on genetic marker information, it is possible to perform accurate inspection in a minimum amount of time.

In addition, by carrying out DNA identity check with information on BM1824, BM2113, ETH10, ETH225, ETH3, INRA23, SPS115, TGLA122, TGLA126, TGLA227 and TGLA53 as genetic marker information, It is possible to quickly and accurately check whether a livestock registration system is violated in order to track and track the history of hygiene and safety problems in the event of a problem in hygiene and safety.

In addition, when there is no identical nucleotide sequence information, the most similar type nucleotide sequence information is extracted and output, so that the same data is automatically determined in the case of the same data, and when one or two of the comparative analysis values are different, Match) can be determined.

Further, by performing comparative analysis based on one or more pieces of information selected from gene frequency, gene vise set, and gene panel information, it is possible to interpret it with more accurate statistical meaning.

In addition, the convergence category through product development is able to advance into the market of hospitals, companies, research institutes, food distributors, etc., and it can overcome the cost problems of the existing products and the excessive maintenance cost problems.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a flow chart of a method for determining a gene analysis according to an embodiment of the present invention. FIG.
FIG. 2 is a diagram showing an example of a result of analyzing a nucleotide sequence of a text type input in a step of inputting an original gene analysis result or a requesting gene analysis result in a gene analysis determination method according to an embodiment of the present invention. FIG.
Fig. 3 is a view showing text data enlarged in the front part of Fig. 2; Fig.
Fig. 4 is a view showing text data obtained by enlarging an intermediate portion of Fig. 2; Fig.
Fig. 5 is a view showing text data enlarged at the end portion of Fig. 2; Fig.
6 is a view showing an example of a result displayed on a screen in a display step of a gene analysis determination method according to an embodiment of the present invention;

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, .

On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the term "comprises" or "having ", etc. is intended to specify the presence of stated features, integers, steps, operations, elements, parts, or combinations thereof, And does not preclude the presence or addition of one or more other features, integers, integers, steps, operations, elements, components, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be construed as ideal or overly formal in meaning unless explicitly defined in the present application Do not.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings. Prior to this, terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary terms, and the inventor should appropriately interpret the concept of the term appropriately in order to describe its own invention in the best way. The present invention should be construed in accordance with the meaning and concept consistent with the technical idea of the present invention. Further, it is to be understood that, unless otherwise defined, technical terms and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Descriptions of known functions and configurations that may be unnecessarily blurred are omitted. The following drawings are provided by way of example so that those skilled in the art can fully understand the spirit of the present invention. Therefore, the present invention is not limited to the following drawings, but may be embodied in other forms. In addition, like reference numerals designate like elements throughout the specification. It is to be noted that the same elements among the drawings are denoted by the same reference numerals whenever possible.

FIG. 1 is a flowchart illustrating a method for determining a gene analysis according to an embodiment of the present invention. FIG. 2 is a flowchart illustrating a method of determining a gene analysis according to an embodiment of the present invention. FIG. 3 is a view showing an example of a result of a base sequence analysis of a text type inputted in the step of FIG. 2. FIG. 3 is a view showing text data enlarged in the front part of FIG. FIG. 5 is a view showing text data enlarged at the end of FIG. 2, FIG. 6 is a view showing an example of a result displayed on a screen in a display step of the gene analysis determination method according to an embodiment of the present invention to be.

DNA analysis refers to the examination of the base sequence of a biological gene using gene analysis equipment.

 As a gene analysis method, it is possible to use a microarray or a DNA chip-based analysis method using gene analysis equipment.

The DNA Analysis Judging System (DAJS) is a system for analyzing genome information of organisms and judging them by various statistical meanings. The DNA analysis judgment system uses biological gene analysis equipment It is an integrated system that analyze and analyze the analyzed results in statistical terms.

Among them, the gene analysis determination method according to one embodiment of the present invention corresponds to the analysis determination system.

In addition, the gene analysis determination method according to an embodiment of the present invention is implemented based on an open source-based universal JAVA technology, so that development and maintenance are very easy.

In addition, 1: N and N: N comparative analysis (multi-gene analysis) is designed to be able to reduce DNA analysis time and cost savings.

As shown in FIG. 1, a gene analysis determination method according to an embodiment of the present invention includes a program type executed by an arithmetic processing means including a computer, S10), a tracking database storage step S20, a requesting gene analysis result input step S30, a rim database storing step S40, a gene analysis step S50, and a display step S60.

The original gene analysis result input step (S10) receives the result of analyzing the nucleotide sequence of the organism (the analysis and the analysis) of the original sample with the gene analysis equipment as the text information.

The nucleotide sequence is the sequence of the nucleotides constituting the gene and is in the order of adenine (A), guanine (G), cytosine (C), and thymine (T). The biological characteristics are determined by the base sequence.

The genetic information is digital information consisting of the letters ATGC, and the nucleotide sequence information is called the nucleotide sequence analysis result.

That is, in the step of inputting the original gene analysis result (S10), a sample of the original sample is inspected through DNA extraction, PCR amplification, electrophoresis, concentration measurement and gene analysis using a gene analysis apparatus, And the result (text information - see Figs. 2 to 5) is input to the analysis decision system.

The tracking database storing step S20 stores the base sequence information in the tracking database according to a predetermined database table based on the text information inputted in the input step S10 of the original gene analysis result.

The tracking database storage step (S20) stores the result of analyzing the base sequence of the original sample to be used for the tracking inspection in the tracking database, and is stored in accordance with the corrected database table.

This is for a quick comparison of the information needed later.

In the input gene analysis result input step (S30), the result of analyzing the nucleotide sequence of the organism that the operation processing means inspects (analyzes and analyzes) the request sample with the gene analysis equipment is input as the text information.

That is, the inputting step S30 of the referral gene analysis step may include DNA extraction, PCR amplification, electrophoresis, concentration measurement, gene analysis, and the like using the gene analysis equipment, as in the step S10 of inputting the original gene analysis result And the result (text information - see FIGS. 2 to 5) is input to the analysis determination system.

The rim database storing step S40 is a step of storing the nucleotide sequence information according to a predetermined database table based on the text information inputted in the step S30 of inputting the request gene analysis result in the rRNA database LIMSDB Laboratory information management system) Data Base.

That is, the rinse database storing step S40 stores the result of analyzing the base sequence of the request sample to be used for the follow-up inspection, etc. in the rinsing database, as in the tracking database storing step S20, .

In the gene analysis step S50, the arithmetic processing means compares and analyzes the nucleotide sequence information stored in the rinsing database with the other nucleotide sequence information stored in the tracking database in the tracking database storing step S20 in the rinsing database storing step S40 Interpret it in a statistical sense.

Statistical significance and interpretation can be used for correlation, etc. The correlation can be obtained statistically through a procedure called correlation analysis.

Correlation analysis is used to calculate the correlation coefficient (r) between two variables (eg mathematics score and science score), and the term determinant coefficient is used to interpret it.

The decision coefficient is interpreted as the square of the correlation coefficient (r), so it means the ratio (%). For example, if the correlation coefficient between the mathematics score and the science score (r) is .90, it is interpreted as having an 81% correlation in the interpretation.

Correlation is a way to identify interdependencies or interrelation rather than the causal relationship between two variables.

Correlation can be a causal requirement but not a sufficient condition. That is, when X and Y are correlated, X may be the cause of Y, and Y may be the cause of X. However, another variable, Z, may be the cause of Y or X. In this case, the relationship between X and Y can confirm that there is a causal relationship between the two variables (although the direction can not be confirmed) or the third variable.

While causality can explain the direction and intensity of a relationship, correlation is only a description of the relationship between variables, implying that the relationship is a causal relationship. In other words, even if a correlation exists, a causal relation may not be established, but if a causal relationship is established, a correlation is also established.

DNA is difficult to analyze with all DNA sequences because its size (not physical size, but stored content) is enormous. So, you can use any specific part, depending on what part this part is, the DNA bands may be similar or different.

DNA consists of four small blocks called adenine (A), guanine (G), cytosine (C), and thymine (T). In the case of humans, these blocks are linked to DNA by about 3 billion. The content in the DNA depends on the order in which the AGCTs are arranged.

DNA can be cleaved with a suitable enzyme according to its sequence. These cuts are different in size. Thus, by separating them by size, DNA is arranged in a row from short to long, which is called the DNA band.

Using DNA sequences for testing is not a good idea. Because there is less variation in such DNA sequences. For DNA testing, a sequence called 'simple repeat sequence' is usually used. This sequence is not essential because it does not encode the protein, and it usually repeats 100 to 200 times in a set of 6 to 10 units.

At this time, there are many variations such as the degree of repetition according to the individual and the character type of the repeated unit. Therefore, if they are cut out with proper enzymes, DNA bands are formed depending on individuals.

In addition to simple repeat sequences, genes are inherited, so DNA bands are similarly formed if they are biologically close. So, when there is a DNA band, the tester's parents or siblings will look similar to this DNA band. This can be used to confirm the paternity.

In the gene analysis step (S50), interpretation in the statistical meaning means performing the identity test, the paternity test, the blood relationship test, and the like.

The DNA identity test uses the fact that the gene (DNA) structure is different for every individual, and the analysis result of the DNA extracted from each sample is compared using the gene detection technique for the sample collected from the livestock etc. And the paternity test is to compare the results of the DNA analysis to confirm the paternity. The blood relational test is to compare the DNA analysis results to confirm that they are related.

In the display step S60, the arithmetic processing means displays the result interpreted in the gene analysis step S50 on the screen (see Fig. 6).

At this time, the DNA analysis result of the sample of the original sample and the DNA analysis result of the sample of the referenced sample can be displayed.

The database storing step S40 of the gene analysis determining method according to an embodiment of the present invention may be performed by using a batch program for periodically performing a specific operation, In the rim database according to the database table.

A batch program is a program that causes a specific operation to be performed periodically,

The batch analysis program (text information) can be stored in the tracking database according to a predetermined database table.

Generally, it takes up to 30 minutes to store the result of analysis of nucleotide sequence (text information), which is inspected by genetic analysis equipment, in the tracking database, and it takes a long time to upload the result of the sequence analysis (text information) It is possible to upload a sequence analysis result (text information) to the tracking database within 15 seconds by using a batch program.

Here, the database table may be based on genetic marker information.

In analyzing genes, it is not easy to analyze all the loci, and since all genes are not involved in biological activities, we mainly use the method of analyzing regions where there are many differences (polymorphism) between individuals or groups , And those used here are called genetic markers (DNA Makers).

Genetic markers (DNA Makers) used in gene analysis methods include microsatellite markers, RFLPs (restriction enzyme fragment length polymorphism) markers, VNTRs (serial repeat variable locus) markers, single nucleotide polymorphism markers , And microsatellite markers include STR (short tandem repeat) markers.

On the Y chromosome, there is an area called STR (Short Tandem Repeat). This region, also called mircosatellite, is the region in the DNA where the sequences of 2 to 6 base pairs are repeated a short time. This region is known to exist in parts of the DNA that are not recombined, but in almost no change in gene expression. Ultimately, this area will inherit almost the same from parents as long as there is no mutation, and because of this feature, the STR domain can be used for forensic identification, paternity identification, and family research.

However, since it is impossible to examine all of these STR regions, a method of studying them by designating specific genetic markers can be carried out. Less than 10 to 20 genetic markers can be compared, and more markers can be investigated if more precise investigation is required. In the case of household research, more than 100 genetic markers may be examined.

STR (Short Tandem Repeat) Marker can be used to investigate the paternal system. This is because it is passed from father to son. However, the investigation of this area is only apparent for the near ancestors.

Herein, the genetic marker information that can be used for the application to the Korean native hysteresis tracker includes 11 super satellites including BM1824, BM2113, ETH10, ETH225, ETH3, INRA23, SPS115, TGLA122, TGLA126, TGLA227 and TGLA53 Microsatellite marker information is available.

At this time, one multiplex PCR set (BOV_X and BOV_Y) combined with two sexing primers for gender discrimination can be used.

In the gene analysis step (S50) of the gene analysis determination method according to an embodiment of the present invention, the nucleotide sequence information stored in the rim database is compared with other nucleotide sequence information stored in the tracking database to confirm whether there is the same nucleotide sequence information And performs the identity check.

The DNA identity test can be performed to scientifically confirm whether the history information of livestock products is being accurately transmitted through the production-slaughter-processing-sale phase.

In the gene analysis step (S50) of the gene analysis determination method according to an embodiment of the present invention, when there is no nucleotide sequence information identical to the nucleotide sequence information stored in the rinsing database, the most similar type nucleotide sequence information is extracted .

The display step S60 may display the most similar type of nucleotide sequence information extracted in the gene analysis step S50, and may display a part of the genetic trait or information in which no accurate information is displayed as a specific color (yellow) (Refer to FIG. 6).

That is, the gene analysis step (S50) and the display step (S60) can help the most similar nucleotide sequence information to be compared even if the nucleotide sequence information is not exactly matched.

Conventionally, a blank screen is output when there is no completely identical data. However, the gene analysis determination method according to an embodiment of the present invention shows comparable types of comparative data as much as possible when there is no identical data, (Yellow) to make comparison possible.

Therefore, it is possible to automatically perform the determination of coincidence (coincidence) in the case of the same data, and to output it as shown in Fig. 5 in case of inaccurate data. It is also possible to make a judgment on the match)

The gene analysis step (S50) of the gene analysis determination method according to an embodiment of the present invention may be characterized in that a comparative analysis is performed based on one or a plurality of pieces of information selected from gene frequencies, gene viseets, and gene panel information have.

The gene frequency is also called the allelic frequency. This is a numerical value that indicates the relative proportions in which alleles are present in a single Mendelian population in a gene locus. Is the most basic amount to represent the collective composition of. The frequency of a gene changes over time due to various factors such as mutation, natural selection, genetic drift, migration, and recombination in a gene. It is generally not possible to determine the frequency in gene frequency, but it is relatively easy to estimate (estimate) the random mating group because it is a random combination of male and female spouses.

The Gene Panel is used to manage the values of the markers used in the experiment, such as panel name, STR maker, dye color, minimum size and maximum size.

Gene visequence is similar to the frequency value and indicates the value of the gene trait that is fixed. It refers to the Marker Range, Allele name, position, position and superiority.

Although the gene analysis determination method according to an embodiment of the present invention has been described above, it is possible to provide a computer-readable recording medium storing a program for implementing the gene analysis determination method, and a computer readable recording medium for implementing the gene analysis determination method Of course, the stored program can be implemented.

That is, those skilled in the art will readily understand that the above-described gene analysis determination method may be provided in a recording medium readable by a computer by tangibly embodying a program of instructions for implementing the method. In other words, it can be implemented in the form of a program command that can be executed through various computer means, and can be recorded on a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer-readable recording medium may be those specially designed and configured for the present invention or may be those known and available to those skilled in the computer software. Examples of the computer-readable medium include magnetic media such as hard disks, floppy disks and magnetic tape, optical media such as CD-ROMs and DVDs, and optical disks such as floppy disks. Magneto-optical media and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, USB memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

S10: Input step of original gene analysis result
S20: Steps to save trace database
S30: Requested gene analysis result input step
S40: Step to store rim database
S50: gene analysis step
S60: Display step

Claims (9)

A gene analysis determination method comprising a program form executed by an arithmetic processing means including a computer,
A step (S10) of inputting the original gene analysis result in which the operation processing means receives the result of analyzing the nucleotide sequence of the organism, the original sample of which is inspected by the gene analysis equipment, as text information;
(S20) for storing the nucleotide sequence information in a tracking database according to a predetermined database table based on the text information inputted in the input step (S10) of the original gene analysis result;
A step S30 of inputting a referral gene analysis result in which a result of analyzing the nucleotide sequence of the organism, which is inspected by the arithmetic processing means with the gene analysis equipment, is input as text information;
A rim database storing step (S40) of storing the nucleotide sequence information in a rim database according to a predetermined database table based on the text information input by the operation processing means in the step S30 of inputting the request gene analysis result;
The arithmetic processing means compares the nucleotide sequence information stored in the rinsing database with the nucleotide sequence information stored in the tracking database in the tracking database storing step (S20) in the rinsing database storing step (S40) Step S50; And
A display step (S60) in which the operation processing means displays a result interpreted in the gene analysis step (S50) on a screen;
/ RTI >
The database storage step (S40)
The text information inputted in the step S30 of inputting the gene analysis result is stored in the rim database according to the database table by using a batch program for periodically performing a specific operation,
The database table
(Short Tandem Repeat) marker information among genetic markers,
The gene marker information
The present invention relates to a multiplex PCR set (BOV_X (SEQ ID NO: 1), SEQ ID NO: 2, SEQ ID NO: And BOV_Y)
The gene analysis step (S50)
The nucleotide sequence information stored in the rim database is compared with other nucleotide sequence information stored in the tracking database to perform DNA identity checking to determine whether there is the same nucleotide sequence information,
The gene analysis step (S50)
If the base sequence information identical to the base sequence information stored in the rim database is not present in the tracking database, extracts the base sequence information of the most similar type,
The displaying step S60
The nucleotide sequence information of the most similar type extracted in the gene analysis step (S50) is displayed, and a portion in which the genetic traits are not correct or information is not correctly displayed is displayed in a specific color so that comparison is possible.
The gene analysis step (S50)
Wherein the comparative analysis is performed on the basis of the gene frequency, the gene set, and the gene panel information,
All the steps from the input step S10 to the display step S60 of the original gene analysis result are implemented based on the open source based JAVA technology and are implemented such that 1: N or N: N comparison analysis is possible In addition,
Wherein the display step S60 displays both the DNA analysis result of the sample of the original sample and the DNA analysis result of the sample of the referral sample.
delete delete delete delete delete delete A computer-readable recording medium storing a program for implementing the gene analysis determination method according to claim 1.
A program stored in a computer-readable recording medium for implementing the gene analysis determination method according to claim 1.

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