Back to results
Bibliographic record · Consultation and access
Artículo

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

Da Wei Huang; Brad T. Sherman; Richard A. Lempicki · Nucleic Acids Research · 2008

Resource page
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works
Entrar por OpenAlex
Main access

Resource page

Resource reference page. Full text availability has not been automatically confirmed.
Open resource

Summary

Descripción general del contenido del recurso.

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.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Huang, D. W, Sherman, B. T, & Lempicki, R. A. (2008). Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. https://doi.org/10.1093/nar/gkn923

MLA

Huang, Da Wei, et al. "Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists." 2008. https://doi.org/10.1093/nar/gkn923.

Chicago

Huang, Da Wei, Brad T. Sherman, and Richard A. Lempicki. 2008. "Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.". https://doi.org/10.1093/nar/gkn923.

Harvard

Huang, D. W, Sherman, B. T. and Lempicki, R. A. 2008, Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists, Nucleic Acids Research, available at: https://doi.org/10.1093/nar/gkn923 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists
Author / contributors
Da Wei Huang; Brad T. Sherman; Richard A. Lempicki
Publisher
Nucleic Acids Research
Publication year
2008
Language
English

Subjects

Explore related resources through these subjects.

Copied