Log in to save to my catalogue

Characterizing the state of the art in the computational assignment of gene function: lessons from t...

Characterizing the state of the art in the computational assignment of gene function: lessons from t...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3633048

Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)

About this item

Full title

Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)

Author / Creator

Publisher

England: BioMed Central

Journal title

BMC bioinformatics, 2013-04, Vol.14 (S3), p.S15-S15, Article S15

Language

English

Formats

Publication information

Publisher

England: BioMed Central

More information

Scope and Contents

Contents

The assignment of gene function remains a difficult but important task in computational biology. The establishment of the first Critical Assessment of Functional Annotation (CAFA) was aimed at increasing progress in the field. We present an independent analysis of the results of CAFA, aimed at identifying challenges in assessment and at understandi...

Alternative Titles

Full title

Characterizing the state of the art in the computational assignment of gene function: lessons from the first critical assessment of functional annotation (CAFA)

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3633048

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3633048

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-14-S3-S15

How to access this item