Evidence map›Paper›PMID 21335611›Full record

ArticleBioinformatics (Oxford, England)2011

B2G-FAR, a species-centered GO annotation repository.

Stefan Götz, Roland Arnold, Patricia Sebastián-León, Samuel Martín-Rodríguez, Patrick Tischler, Marc-André Jehl, Joaquín Dopazo, Thomas Rattei, Ana Conesa

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed.

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  12. Frontiers in cellular and infection microbiology · 2020
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  18. Evolution of Phototransduction Genes in Lepidoptera.Genome biology and evolution · 2019
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Stefan GötzBioinformatics and Genomics Department, Centro de Investigaciones Príncipe Felipe (CIPF), Valencia, Spain. sgoetz@cipf.es
Roland Arnold
Patricia Sebastián-León
Samuel Martín-Rodríguez
Patrick Tischler
Marc-André Jehl
Joaquín Dopazo
Thomas Rattei
Ana Conesa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationFunctional genomics research has expanded enormously in the last decade thanks to the cost reduction in high-throughput technologies and the development of computational tools that generate, standardize and share information on gene and protein function such as the Gene Ontology (GO). Nevertheless, many biologists, especially working with non-model organisms, still suffer from non-existing or low-coverage functional annotation, or simply struggle retrieving, summarizing and querying these data.

resultsThe Blast2GO Functional Annotation Repository (B2G-FAR) is a bioinformatics resource envisaged to provide functional information for otherwise uncharacterized sequence data and offers data mining tools to analyze a larger repertoire of species than currently available. This new annotation resource has been created by applying the Blast2GO functional annotation engine in a strongly high-throughput manner to the entire space of public available sequences. The resulting repository contains GO term predictions for over 13.2 million non-redundant protein sequences based on BLAST search alignments from the SIMAP database. We generated GO annotation for approximately 150 000 different taxa making available 2000 species with the highest coverage through B2G-FAR. A second section within B2G-FAR holds functional annotations for 17 non-model organism Affymetrix GeneChips.

conclusionsB2G-FAR provides easy access to exhaustive functional annotation for 2000 species offering a good balance between quality and quantity, thereby supporting functional genomics research especially in the case of non-model organisms. AVAILABILITY: The annotation resource is available at http://www.b2gfar.org.

Indexed as

Molecular Sequence AnnotationSoftwareDatabases, GeneticData MiningGenesGenomicsHigh-Throughput Nucleotide SequencingOligonucleotide Array Sequence AnalysisSequence Analysis, ProteinVocabulary, Controlled

Identifiers

PMID21335611
PMCPMC3065692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.