Using computational predictions to improve literature-based Gene Ontology annotations: a feasibility study (Q34742703)

4 August 2017

title

Using computational predictions to improve literature-based Gene Ontology annotations: a feasibility study (English)

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4 August 2017

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3

Rama Balakrishnan

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4 August 2017

4

J Michael Cherry

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4 August 2017

Maria C Costanzo

1

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4 August 2017

Julie Park

series ordinal

2

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4 August 2017

Eurie L Hong

series ordinal

5

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4 August 2017

publication date

15 March 2011

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4 August 2017

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4 August 2017

volume

2011

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4 August 2017

page(s)

bar004

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Research funding. Sustaining the data and bioresource commons

4 August 2017

cites work

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A MOD(ern) perspective on literature curation.

7 July 2018

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The Gene Ontology in 2010: extensions and refinements

7 July 2018

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Semi-automated curation of protein subcellular localization: a text mining-based approach to Gene Ontology (GO) Cellular Component curation

7 July 2018

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Functional annotations for the Saccharomyces cerevisiae genome: the knowns and the known unknowns

7 July 2018

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Exploring the human genome with functional maps

7 July 2018

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Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?

7 July 2018

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The GOA database in 2009--an integrated Gene Ontology Annotation resource

7 July 2018

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InterPro: the integrative protein signature database

7 July 2018

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big data: The future of biocuration

7 July 2018

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Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function

7 July 2018

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Assessing the functional structure of genomic data

7 July 2018

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Use and misuse of the gene ontology annotations

7 July 2018

1 reference

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7 July 2018

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Gene Ontology annotations at SGD: new data sources and annotation methods

7 July 2018

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Mining experimental evidence of molecular function claims from the literature.

7 July 2018

1 reference

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Manual curation is not sufficient for annotation of genomic databases

7 July 2018

1 reference

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The biocurator: connecting and enhancing scientific data

7 July 2018

1 reference

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A biocurator perspective: annotation at the Research Collaboratory for Structural Bioinformatics Protein Data Bank

7 July 2018

1 reference

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Automatic document classification of biological literature

7 July 2018

1 reference

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Discovery of biological networks from diverse functional genomic data

7 July 2018

1 reference

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A procedure for assessing GO annotation consistency

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3067894

An evaluation of GO annotation retrieval for BioCreAtIvE and GOA.

7 July 2018

1 reference

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Creating the gene ontology resource: design and implementation

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3067894

Gene ontology: tool for the unification of biology

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3067894

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3067894

New mutant phenotype data curation system in the Saccharomyces Genome Database

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3067894

26 October 2018

Identifiers

DOI

10.1093/DATABASE/BAR004

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4 August 2017

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4 August 2017

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