Name
Abstract | ||
|---|---|---|
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.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.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 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1186/1471-2105-7-470 | BMC Bioinformatics |
Keywords | Field | DocType |
sequence alignment,hypothesis test,microarrays,test methods,database management systems,statistical hypothesis testing,web service,computer simulation,biological data,bioinformatics,algorithms,internet,statistical test | Data science,Biological data,Annotation,Gene ontology,Computer science,Software,Bioinformatics,Statistical hypothesis testing,The Internet | Journal |
Volume | Issue | ISSN |
7 | 1 | 1471-2105 |
Citations | PageRank | References |
29 | 0.65 | 15 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vidar Beisvag | 1 | 29 | 0.65 |
| Frode K R Jünge | 2 | 29 | 0.65 |
| Hallgeir Bergum | 3 | 29 | 0.65 |
| Lars Jølsum | 4 | 29 | 0.65 |
| Stian Lydersen | 5 | 30 | 0.99 |
| Clara-Cecilie Günther | 6 | 29 | 0.65 |
| Heri Ramampiaro | 7 | 154 | 20.46 |
| Mette Langaas | 8 | 29 | 0.65 |
| Arne K. Sandvik | 9 | 87 | 9.25 |
| Astrid Lægreid | 10 | 195 | 19.82 |