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GO Annotation Tools

The following tools make use of the GO ontologies or the gene associations provided by Consortium members. Being listed on this page does not represent an endorsement by the GO Consortium, nor has the Consortium tested the tool or found that it uses the Consortium information accurately. This page is provided to promote an exchange of information between users and software developers.

Key
Use tool online
web-based tool
Download tool
downloadable tool
Windows compatible Mac OS X compatible
Unix compatible linux compatible
compatible OSs (for downloadable tools)

Unless stated otherwise, tools are free for academic use.

Download tool
Windows compatibleMac OS X compatibleUnix compatiblelinux compatible

Blast2GO (B2G) [external website]

BET, ITACA, Universidad Politécnica de Valencia [external website]; IVIA - Centro Genómica [external website]
[Publication abstract [external website]]

Blast2GO (B2G) [external website] joins in one universal application similarity search based GO annotation and functional analysis. B2G offers the possibility of direct statistical analysis on gene function information and visualization of relevant functional features on a highlighted GO direct acyclic graph (DAG). Furthermore B2G includes various statistics charts summarizing the results obtained at BLASTing, GO-mapping, annotation and enrichment analysis (Fisher's Exact Test). All analysis process steps are configurable and data import and export are supported at any stage. The application also accepts pre-existing BLAST or annotation files and takes them to subsequent steps. The tool offers a very suitable platform for high throughput functional genomics research in non-model species. B2G is a species-independent, intuitive and interactive desktop application which allows monitoring and comprehending the whole annotation and analysis process supported by additional features like GO Slim integration, evidence code (EC) consideration, a Batch-Mode or GO-Multilevel-Pies.

Use tool online

g:Profiler [external website]

University of Tartu, Estonia [external website]
[Publication abstract [external website]]

g:Profiler [external website] is a public web server for characterising and manipulating gene lists resulting from mining high-throughput genomic data. g:Profiler has a simple, user-friendly web interface with powerful visualisation for capturing Gene Ontology, pathway, or transcription factor binding site enrichments down to individual gene levels. Besides standard multiple testing corrections, a new improved method for estimating the true effect of multiple testing over complex structures like GO has been introduced. Interpreting ranked gene lists is supported from the same interface with very efficient algorithms. Such ordered lists may arise when studying the most significantly affected genes from high-throughput data or genes co-expressed with the query gene. Other important aspects of practical data analysis are supported by modules tightly integrated with g:Profiler. These are: g:Convert for converting between different database identifiers; g:Orth for finding orthologous genes from other species; and g:Sorter for searching a large body of public gene expression data for co-expression. g:Profiler supports 31 different species, and underlying data is updated regularly from sources like the Ensembl database. Bioinformatics communities wishing to integrate with g:Profiler can use alternative simple textual outputs.

Use tool online

GeneTools [external website]

Norwegian University of Science and Technology [external website] and Norwegian Microarray Consortium [external website]
No publication

GeneTools [external website] is a collection of web-based tools that brings together information from a broad range of resources, and provides this in a manner particularly useful for genome-wide analyses. Today, the two main tools connected to this database are the NMC Annotation Database V2.0 and eGOn V2.0 (explore Gene Ontology). The NMC Annotation Database V2.0 provides information from UniGene, EntrezGene, SwissProt and Gene Ontology (GO).

Major features are:

  • Single search/Batch search, extraction of data for single or batches of genes.
  • Manage reporter lists: in folders and share selected lists with other users.
  • Manual GO Annotation: add your own Gene Ontology (GO) annotations to genes of interest.
  • Export: to Excel, text or XML format.
Use tool online

GOanna [external website]

AgBase [external website]
No publication

GOanna [external website] is used to find annotations for proteins using a similarity search. The input can be a list of IDs or it can be a list of sequences in FASTA format. GOanna will retrieve the sequences if necessary and conduct the specified BLAST search against a user-specified database. The resulting file contains GO annotations of the top BLAST hits. The sequence alignments are also provided so the user can use these to access the quality of the match.

Use tool online

GoAnnotator [external website]

XLDB Group, Faculdade de Ciências da Universidade de Lisboa [external website]
[Publication abstract [external website]]

GoAnnotator [external website] is a tool for verification of electronic protein annotations using GO terms automatically extracted from literature.

Use tool online

Gene Ontology Categorizer (GOCat)[external website]

Text Mining group, University of Geneva [external website] and Swiss-Prot group, Swiss Institute of Bioinformatics [external website]
[Publication abstracts 1[external website], 2[external website]]

The Gene Ontology Categorizer (GOCat)[external website] is an automatic text categorizer. The tool classifies any input text (a few words, an abstract, a set of PubMed Identifiers...) into Gene Ontology categories. The system, originally developed for the first BioCreative evaluation campaign, aims at facilitating functional annotation of gene and gene products using text mining methods. For every predicted category, a confidence score and a short text passage, extracted from the input text, are provided. The interface can also be used to navigate the Gene Ontology thanks to direct Quick GO links.

Use tool online

GoPubMed [external website]

Biotechnological Centre of the Technological University, Dresden [external website]
[Publication abstract [external website]]

GoPubMed [external website] is a web server which allows users to explore PubMed search results with the Gene Ontology. GoPubMed submits a user's keywords to PubMed, retrieves the abstracts, detects Gene Ontology terms in the abstracts, displays the subset of Gene Ontology relevant to the original query, and allows the user to browse through the ontology displaying associated papers and their GO annotation.

Use tool online

GOtcha [external website]

Barton group at the University of Dundee [external website]
[Publication abstract [external website]]

GOtcha [external website] provides a prediction of a set of GO terms that can be assosciated with a given query sequence. Each term is scoredindependently and the scores calibrated against reference searches to give an accurate percentage likelihood of correctness. These results can be displayed graphically.
The tool is currently web-based; contact David Martin [external website] for details of the standalone version.

Download tool
Windows compatible

High Throughput Gene Ontology Functional Annotation Toolkit (HT-GO-FAT) [external website]

Livestock Issues Research Unit [external website], part of the USDA Agricultural Research Service [external website]
No publication

High Throughput Gene Ontology Functional Annotation Toolkit [external website] allows for high throughput mapping of unknown or other genetic sequence data such as ESTs, mRNA, or protein data to Gene Ontology annotations, EC numbers and also directly to KEGG pathways. It uses sequence similarity and domain matching. The tool uses custom curated databases and has functions such as windows LAN distributed BLAST, which can distribute high throughput BLAST searches over a windows LAN. It has a high-throughput BLAST output viewer and many file type export features that allow for top hit association or manual curation of data. Data can be exported as AmiGO association files that can be loaded via the load data script. Pathways highlight those enzymes/genes that are represented in your dataset.

Use tool online

InGOt [external website]

Inpharmatica [external website]
No publication

InGOt [external website] is a module for Inpharmatica's new modular system for protein annotation, a proprietary system for applying Gene Ontology to all proteins. It offers an unparalleled resource to elucidate protein function: its graphical user interface enables you to investigate links from summary data through to hierarchical context and literature/evidence links. InGOt has more sequences than any public resource and assignments harvested from the broadest possible GO-linked resources. InGOt can integrate with other modules such as Domain Professor for detailed protein domain annotation and Blu-Chip for instant and accurate probe to protein assignments.

Note that InGOt is proprietary software, but web-based licensed software is offered at discounted prices to academic users.

Use tool online Download tool
Mac OS X compatibleUnix compatiblelinux compatible

InterProScan [external website]

European Bioinformatics Institute [external website]
[Publication abstracts 1 [external website], 2 [external website]]

Databases of protein domains and functional sites have become vital resources for the prediction of protein functions. During the last decade, several signature- recognition methods have evolved to address different sequence analysis problems, resulting in rather different and, for the most part, independent databases. Diagnostically, these resources have different areas of optimum application owing to the different strengths and weaknesses of their underlying analysis methods. Thus, for best results, search strategies should ideally combine all of them. InterProScan [external website] is a perl-based program which combines these different protein signature recognition methods into one resource.

Use tool online

JAFA: Joint Assembly of Functional Annotations [external website]

Burnham Institute for Medical Research [external website], California
No publication

JAFA [external website] accepts a protein sequence, submits it to several function prediction programs, and provides an aggregate of the predictions in a single, easy to read display, based on GO terms. The user may click through to the individual servers, to AmiGO and QuickGO. JAFA also provides a downloadable XML file with the results, to enable incorporation in yet larger workflows.

Use tool online Download tool
linux compatibleSolaris compatible

Manatee [external website]

The Institute for Genomic Research [external website]
No publication

Manatee [external website] is a web-based gene evaluation and genome annotation tool; Manatee can store and view annotation for prokaryotic and eukaryotic genomes. The Manatee interface allows biologists to quickly identify genes and make high quality functional assignments, such as GO classifications, using search data, paralogous families, and annotation suggestions generated from automated analysis. Manatee can be downloaded and installed to run under the CGI area of a web server, such as Apache.

Use tool online Download tool
Windows compatibleMac OS X compatibleUnix compatiblelinux compatible

PubSearch [external website]

The Arabidopsis Information Resource [external website]
No publication

PubSearch [external website] is a web-based literature curation tool, allowing curators to search and annotate genes to keywords from articles. It has a simple mySQL database backend and uses a set of Java Servlets and JSPs for querying, modifying, and adding gene, gene-annotation, and literature information. A demo using data from TAIR [external website] is available (runs on platforms supporting Java Servlets environment); the tool itself can be downloaded from GMOD [external website].

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Last modified Friday, 26-Sep-2008 11:40:14 PDT
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