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GeneTools – application for functional annotation and statistical hypothesis testing
BACKGROUND: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes. This has created a need for tools facilitating interpretation of biological data in "batch&qu...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1630634/ https://www.ncbi.nlm.nih.gov/pubmed/17062145 http://dx.doi.org/10.1186/1471-2105-7-470 |
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author | Beisvag, Vidar Jünge, Frode KR Bergum, Hallgeir Jølsum, Lars Lydersen, Stian Günther, Clara-Cecilie Ramampiaro, Heri Langaas, Mette Sandvik, Arne K Lægreid, Astrid |
author_facet | Beisvag, Vidar Jünge, Frode KR Bergum, Hallgeir Jølsum, Lars Lydersen, Stian Günther, Clara-Cecilie Ramampiaro, Heri Langaas, Mette Sandvik, Arne K Lægreid, Astrid |
author_sort | Beisvag, Vidar |
collection | PubMed |
description | BACKGROUND: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes. This has created a need for tools facilitating interpretation of biological data in "batch" mode. However, such tools often leave the investigator with large volumes of apparently unorganized information. To meet this interpretation challenge, gene-set, or cluster testing has become a popular analytical tool. Many gene-set testing methods and software packages are now available, most of which use a variety of statistical tests to assess the genes in a set for biological information. However, the field is still evolving, and there is a great need for "integrated" solutions. RESULTS: GeneTools is a web-service providing access to a database that brings together information from a broad range of resources. The annotation data are updated weekly, guaranteeing that users get data most recently available. Data submitted by the user are stored in the database, where it can easily be updated, shared between users and exported in various formats. GeneTools provides three different tools: i) NMC Annotation Tool, which offers annotations from several databases like UniGene, Entrez Gene, SwissProt and GeneOntology, in both single- and batch search mode. ii) GO Annotator Tool, where users can add new gene ontology (GO) annotations to genes of interest. These user defined GO annotations can be used in further analysis or exported for public distribution. iii) eGOn, a tool for visualization and statistical hypothesis testing of GO category representation. As the first GO tool, eGOn supports hypothesis testing for three different situations (master-target situation, mutually exclusive target-target situation and intersecting target-target situation). An important additional function is an evidence-code filter that allows users, to select the GO annotations for the analysis. CONCLUSION: GeneTools is the first "all in one" annotation tool, providing users with a rapid extraction of highly relevant gene annotation data for e.g. thousands of genes or clones at once. It allows a user to define and archive new GO annotations and it supports hypothesis testing related to GO category representations. GeneTools is freely available through www.genetools.no |
format | Text |
id | pubmed-1630634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16306342006-11-02 GeneTools – application for functional annotation and statistical hypothesis testing Beisvag, Vidar Jünge, Frode KR Bergum, Hallgeir Jølsum, Lars Lydersen, Stian Günther, Clara-Cecilie Ramampiaro, Heri Langaas, Mette Sandvik, Arne K Lægreid, Astrid BMC Bioinformatics Software BACKGROUND: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes. This has created a need for tools facilitating interpretation of biological data in "batch" mode. However, such tools often leave the investigator with large volumes of apparently unorganized information. To meet this interpretation challenge, gene-set, or cluster testing has become a popular analytical tool. Many gene-set testing methods and software packages are now available, most of which use a variety of statistical tests to assess the genes in a set for biological information. However, the field is still evolving, and there is a great need for "integrated" solutions. RESULTS: GeneTools is a web-service providing access to a database that brings together information from a broad range of resources. The annotation data are updated weekly, guaranteeing that users get data most recently available. Data submitted by the user are stored in the database, where it can easily be updated, shared between users and exported in various formats. GeneTools provides three different tools: i) NMC Annotation Tool, which offers annotations from several databases like UniGene, Entrez Gene, SwissProt and GeneOntology, in both single- and batch search mode. ii) GO Annotator Tool, where users can add new gene ontology (GO) annotations to genes of interest. These user defined GO annotations can be used in further analysis or exported for public distribution. iii) eGOn, a tool for visualization and statistical hypothesis testing of GO category representation. As the first GO tool, eGOn supports hypothesis testing for three different situations (master-target situation, mutually exclusive target-target situation and intersecting target-target situation). An important additional function is an evidence-code filter that allows users, to select the GO annotations for the analysis. CONCLUSION: GeneTools is the first "all in one" annotation tool, providing users with a rapid extraction of highly relevant gene annotation data for e.g. thousands of genes or clones at once. It allows a user to define and archive new GO annotations and it supports hypothesis testing related to GO category representations. GeneTools is freely available through www.genetools.no BioMed Central 2006-10-24 /pmc/articles/PMC1630634/ /pubmed/17062145 http://dx.doi.org/10.1186/1471-2105-7-470 Text en Copyright © 2006 Beisvag et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Beisvag, Vidar Jünge, Frode KR Bergum, Hallgeir Jølsum, Lars Lydersen, Stian Günther, Clara-Cecilie Ramampiaro, Heri Langaas, Mette Sandvik, Arne K Lægreid, Astrid GeneTools – application for functional annotation and statistical hypothesis testing |
title | GeneTools – application for functional annotation and statistical hypothesis testing |
title_full | GeneTools – application for functional annotation and statistical hypothesis testing |
title_fullStr | GeneTools – application for functional annotation and statistical hypothesis testing |
title_full_unstemmed | GeneTools – application for functional annotation and statistical hypothesis testing |
title_short | GeneTools – application for functional annotation and statistical hypothesis testing |
title_sort | genetools – application for functional annotation and statistical hypothesis testing |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1630634/ https://www.ncbi.nlm.nih.gov/pubmed/17062145 http://dx.doi.org/10.1186/1471-2105-7-470 |
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