Transcriptomics and proteomics bio-information analysis method for liver cancer biological process

A technology of proteomics and bioinformatics, applied in proteomics, bioinformatics, biostatistics, etc.

Inactive Publication Date: 2018-04-17
南宁科城汇信息科技有限公司
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  • Application Information

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Problems solved by technology

[0009] The biological information analysis method of transcriptome and proteomics in the biological process of liver cancer is an indispensable part of this research. The present invention is a techno

Method used

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Experimental program
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Embodiment

[0037] Consists of the following steps:

[0038] ①Basic analysis:

[0039] e) Intersize length test;

[0040] f) Comparison information statistics;

[0041] g) random experiment test chart;

[0042] h) Data coverage and depth statistics;

[0043] ②Advanced analysis:

[0044] i) genetic optimization;

[0045] . new exon;

[0046] . 3', 5'UTR region recognition;

[0047] j) alternative splicing;

[0048] . retained introns;

[0049] . skipped exons;

[0050] . variable first exon, variable last exon;

[0051] . Alternative splicing of the first exon, alternative splicing of the last exon;

[0052] . mutually exclusive exons;

[0053] k) new genes or new transcripts;

[0054] l) annotation of predicted new transcripts;

[0055] m) performing expression analysis;

[0056] n) differential expression analysis;

[0057] o) Differential expression cluster analysis;

[0058]p) Functional annotation analysis of differentially expressed genes (two or more s...

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Abstract

The invention discloses a transcriptomics and proteomics bio-information analysis method for a liver cancer biological process. The method comprises the steps of (1) performing basic analysis: performing Intersize length check; performing comparison information statistics; obtaining a randomness experimental check diagram; and performing data coverage degree and depth statistics; and (2) performing advanced analysis: performing gene optimization including new exons and 3', 5' UTR region identification; performing variable splicing including reserved introns, skipped exons, a variable first exon, a variable last exon, a variable splicing first exon, a variable splicing last exon and mutually exclusive exons; obtaining new genes or new transcripts; predicting annotations of the new transcripts; performing expression quantity analysis; performing differential expression analysis; performing differential expression clustering analysis; and performing function annotation analysis of differential expression genes: performing GO function annotation enrichment analysis. Clinical samples are subjected to located and quantitative expression verification; evidences of the clinical samples andclinical correlation are searched for; clinical values are evaluated; and a new clue is provided for liver cancer pathogenesis and liver cancer mechanism research.

Description

technical field [0001] The invention relates to the fields of gene transcriptomics and proteomics, in particular to a biological information analysis method of transcriptomics and proteomics in the biological process of liver cancer. Background technique [0002] One of the most important fields in biological and medical research is the observation of the structure, function and regulation of biological systems and life processes. However, in the past few hundred years, biologists have been focusing on the expression changes and functions of individual genes or proteins in biological systems, but cannot study the changes in living systems from a global and holistic perspective. With the advancement of medicine, people have found that many diseases, especially cancer, are often caused by the synergistic effects of multiple factors, multiple genes, and multiple pathways. This requires a technology and means that can comprehensively, dynamically and systematically study the li...

Claims

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Application Information

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IPC IPC(8): G06F19/18G06F19/20G06F19/24
CPCG16B20/00G16B25/00G16B40/00
Inventor 于思创王海云
Owner 南宁科城汇信息科技有限公司
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