Literature DB >> 19131956

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Da Wei Huang1, Brad T Sherman, Richard A Lempicki.   

Abstract

DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.

Mesh:

Year:  2009        PMID: 19131956     DOI: 10.1038/nprot.2008.211

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  16 in total

1.  HIV envelope induces a cascade of cell signals in non-proliferating target cells that favor virus replication.

Authors:  Claudia Cicala; James Arthos; Sara M Selig; Glynn Dennis; Douglas A Hosack; Donald Van Ryk; Marion L Spangler; Tavis D Steenbeke; Prateeti Khazanie; Neil Gupta; Jun Yang; Marybeth Daucher; Richard A Lempicki; Anthony S Fauci
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-27       Impact factor: 11.205

2.  DAVID: Database for Annotation, Visualization, and Integrated Discovery.

Authors:  Glynn Dennis; Brad T Sherman; Douglas A Hosack; Jun Yang; Wei Gao; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-04-03       Impact factor: 13.583

3.  FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes.

Authors:  Fátima Al-Shahrour; Ramón Díaz-Uriarte; Joaquín Dopazo
Journal:  Bioinformatics       Date:  2004-01-22       Impact factor: 6.937

4.  Ontological analysis of gene expression data: current tools, limitations, and open problems.

Authors:  Purvesh Khatri; Sorin Drăghici
Journal:  Bioinformatics       Date:  2005-06-30       Impact factor: 6.937

5.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

6.  Identifying biological themes within lists of genes with EASE.

Authors:  Douglas A Hosack; Glynn Dennis; Brad T Sherman; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-09-11       Impact factor: 13.583

7.  High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

Authors:  Barry R Zeeberg; Haiying Qin; Sudarshan Narasimhan; Margot Sunshine; Hong Cao; David W Kane; Mark Reimers; Robert M Stephens; David Bryant; Stanley K Burt; Eldad Elnekave; Danielle M Hari; Thomas A Wynn; Charlotte Cunningham-Rundles; Donn M Stewart; David Nelson; John N Weinstein
Journal:  BMC Bioinformatics       Date:  2005-07-05       Impact factor: 3.169

8.  DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists.

Authors:  Da Wei Huang; Brad T Sherman; Qina Tan; Joseph Kir; David Liu; David Bryant; Yongjian Guo; Robert Stephens; Michael W Baseler; H Clifford Lane; Richard A Lempicki
Journal:  Nucleic Acids Res       Date:  2007-06-18       Impact factor: 16.971

9.  DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis.

Authors:  Brad T Sherman; Da Wei Huang; Qina Tan; Yongjian Guo; Stephan Bour; David Liu; Robert Stephens; Michael W Baseler; H Clifford Lane; Richard A Lempicki
Journal:  BMC Bioinformatics       Date:  2007-11-02       Impact factor: 3.169

10.  GOToolBox: functional analysis of gene datasets based on Gene Ontology.

Authors:  David Martin; Christine Brun; Elisabeth Remy; Pierre Mouren; Denis Thieffry; Bernard Jacq
Journal:  Genome Biol       Date:  2004-11-26       Impact factor: 13.583

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  2000 in total

1.  Genome Wide Analysis of WD40 Proteins in Saccharomyces cerevisiae and Their Orthologs in Candida albicans.

Authors:  Buddhi Prakash Jain
Journal:  Protein J       Date:  2019-02       Impact factor: 2.371

2.  An exploratory genome-wide analysis of genetic risk for alcoholic hepatitis.

Authors:  James J Beaudoin; Nanye Long; Suthat Liangpunsakul; Puneet Puri; Patrick S Kamath; Vijay Shah; Arun J Sanyal; David W Crabb; Naga P Chalasani; Thomas J Urban
Journal:  Scand J Gastroenterol       Date:  2017-08-04       Impact factor: 2.423

3.  The Sharpin interactome reveals a role for Sharpin in lamellipodium formation via the Arp2/3 complex.

Authors:  Meraj H Khan; Siiri I Salomaa; Guillaume Jacquemet; Umar Butt; Mitro Miihkinen; Takahiro Deguchi; Elena Kremneva; Pekka Lappalainen; Martin J Humphries; Jeroen Pouwels
Journal:  J Cell Sci       Date:  2017-08-03       Impact factor: 5.285

4.  Circular RNAs in rat models of cardiovascular and renal diseases.

Authors:  Xi Cheng; Bina Joe
Journal:  Physiol Genomics       Date:  2017-08-04       Impact factor: 3.107

5.  Polymorphism and Divergence of Novel Gene Expression Patterns in Drosophila melanogaster.

Authors:  Julie M Cridland; Alex C Majane; Hayley K Sheehy; David J Begun
Journal:  Genetics       Date:  2020-07-31       Impact factor: 4.562

6.  Genome-wide RNAi Screen for Fat Regulatory Genes in C. elegans Identifies a Proteostasis-AMPK Axis Critical for Starvation Survival.

Authors:  Christopher M Webster; Elizabeth C Pino; Christopher E Carr; Lianfeng Wu; Ben Zhou; Lucydalila Cedillo; Michael C Kacergis; Sean P Curran; Alexander A Soukas
Journal:  Cell Rep       Date:  2017-07-18       Impact factor: 9.423

7.  Construction and analysis of circular RNA molecular regulatory networks in liver cancer.

Authors:  Shuangchun Ren; Zhuoyuan Xin; Yinyan Xu; Jianting Xu; Guoqing Wang
Journal:  Cell Cycle       Date:  2017-11-03       Impact factor: 4.534

8.  Human Extrafollicular CD4+ Th Cells Help Memory B Cells Produce Igs.

Authors:  Sang Taek Kim; Jin-Young Choi; Begona Lainez; Vincent P Schulz; David E Karas; Eric D Baum; Jennifer Setlur; Patrick G Gallagher; Joe Craft
Journal:  J Immunol       Date:  2018-07-20       Impact factor: 5.422

9.  Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials.

Authors:  Travis S Johnson; Sihong Li; Jonathan R Kho; Kun Huang; Yan Zhang
Journal:  Pac Symp Biocomput       Date:  2018

10.  The Neocortical Progenitor Specification Program Is Established through Combined Modulation of SHH and FGF Signaling.

Authors:  Odessa R Yabut; Hui-Xuan Ng; Keejung Yoon; Jessica C Arela; Thomas Ngo; Samuel J Pleasure
Journal:  J Neurosci       Date:  2020-07-31       Impact factor: 6.167

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