Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
Инструменты обогащения в биоинформатике: пути к всестороннему функциональному анализу больших списков генов
2008-11-25
SCID: 54.1/4fpk6xva
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bioinformatics enrichment toolsfunctional analysis of large gene listsgene-annotation enrichment analysishigh-throughput genomic and proteomic data
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Abstract (AI)
Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging and daunting task. The gene-annotation enrichment analysis is a promising high-throughput strategy that increases the likelihood for investigators to identify biological processes most pertinent to their study. Approximately 68 bioinformatics enrichment tools that are currently available in the community are collected in this survey. Tools are uniquely categorized into three major classes, according to their underlying enrichment algorithms. The comprehensive collections, unique tool classifications and associated questions/issues will provide a more comprehensive and up-to-date view regarding the advantages, pitfalls and recent trends in a simpler tool-class level rather than by a tool-by-tool approach. Thus, the survey will help tool designers/developers and experienced end users understand the underlying algorithms and pertinent details of particular tool categories/tools, enabling them to make the best choices for their particular research interests.
Key Findings
1
Gene-annotation enrichment analysis is a promising high-throughput strategy to identify biological processes relevant to large gene lists.
2
Providing comprehensive collections and a tool-class-level classification highlights advantages, pitfalls, and recent trends more effectively than tool-by-tool comparisons.
3
The survey aids tool developers and experienced users in understanding algorithms and selecting appropriate tools for specific research needs.
4
The survey collects approximately 68 bioinformatics enrichment tools available in the community.
5
Tools are categorized into three major classes based on their underlying enrichment algorithms.
Research Object
Bioinformatics enrichment tools for gene-annotation enrichment analysis
Research Subject
Evaluation, classification and comprehensive functional-analysis capabilities of enrichment tools for large gene lists, including their algorithms, advantages, pitfalls and trends
Publication Details
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2008-11-25
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