UniProt: a hub for protein information

UniProt is an important collection of protein sequences and their annotations, which has doubled in size to 80 million sequences during the past year. This growth in sequences has prompted an extension of UniProt accession number space from 6 to 10 characters. An increasing fraction of new sequences...

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Bibliographic Details
Published in	Nucleic acids research Vol. 43; no. Database issue; pp. D204 - D212
Format	Journal Article
Language	English
Published	England Oxford University Press 28.01.2015
Subjects	Database Issue Databases, Protein Molecular Sequence Annotation Proteome Sequence Analysis, Protein
Online Access	Get full text

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Abstract	UniProt is an important collection of protein sequences and their annotations, which has doubled in size to 80 million sequences during the past year. This growth in sequences has prompted an extension of UniProt accession number space from 6 to 10 characters. An increasing fraction of new sequences are identical to a sequence that already exists in the database with the majority of sequences coming from genome sequencing projects. We have created a new proteome identifier that uniquely identifies a particular assembly of a species and strain or subspecies to help users track the provenance of sequences. We present a new website that has been designed using a user-experience design process. We have introduced an annotation score for all entries in UniProt to represent the relative amount of knowledge known about each protein. These scores will be helpful in identifying which proteins are the best characterized and most informative for comparative analysis. All UniProt data is provided freely and is available on the web at http://www.uniprot.org/.
AbstractList	UniProt is an important collection of protein sequences and their annotations, which has doubled in size to 80 million sequences during the past year. This growth in sequences has prompted an extension of UniProt accession number space from 6 to 10 characters. An increasing fraction of new sequences are identical to a sequence that already exists in the database with the majority of sequences coming from genome sequencing projects. We have created a new proteome identifier that uniquely identifies a particular assembly of a species and strain or subspecies to help users track the provenance of sequences. We present a new website that has been designed using a user-experience design process. We have introduced an annotation score for all entries in UniProt to represent the relative amount of knowledge known about each protein. These scores will be helpful in identifying which proteins are the best characterized and most informative for comparative analysis. All UniProt data is provided freely and is available on the web at http://www.uniprot.org/. UniProt is an important collection of protein sequences and their annotations, which has doubled in size to 80 million sequences during the past year. This growth in sequences has prompted an extension of UniProt accession number space from 6 to 10 characters. An increasing fraction of new sequences are identical to a sequence that already exists in the database with the majority of sequences coming from genome sequencing projects. We have created a new proteome identifier that uniquely identifies a particular assembly of a species and strain or subspecies to help users track the provenance of sequences. We present a new website that has been designed using a user-experience design process. We have introduced an annotation score for all entries in UniProt to represent the relative amount of knowledge known about each protein. These scores will be helpful in identifying which proteins are the best characterized and most informative for comparative analysis. All UniProt data is provided freely and is available on the web at http://www.uniprot.org/ .
Author_xml	– sequence: 1 email: agb@ebi.ac.uk organization: European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel Servet, 1211 Geneva 4, Switzerland Protein Information Resource, Georgetown University Medical Center, 3300 Whitehaven Street North West, Suite 1200, Washington, DC 20007, USA Protein Information Resource, University of Delaware, 15 Innovation Way, Suite 205, Newark, DE 19711, USA
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/25348405$$D View this record in MEDLINE/PubMed
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References	Chen ( key 20180328170919_B5) 2011; 6 Hastings ( key 20180328170919_B13) 2013; 41 Wichelecki ( key 20180328170919_B10) 2014; 53 Yew ( key 20180328170919_B11) 2006; 45 Dolnick ( key 20180328170919_B9) 1996; 36 Lu ( key 20180328170919_B18) 2014; 157 Hunter ( key 20180328170919_B15) 2012; 40 Dimmer ( key 20180328170919_B12) 2012; 40 Pedruzzi ( key 20180328170919_B16) 2014 Vasudevan ( key 20180328170919_B17) 2011; 694 Dolnick ( key 20180328170919_B8) 1993; 21 Alcantara ( key 20180328170919_B14) 2012; 40 Sorokina ( key 20180328170919_B7) 2014; 9 Nakamura ( key 20180328170919_B4) 2013; 41 Suzek ( key 20180328170919_B2) 2007; 23 Poux ( key 20180328170919_B1) 2014; 2014 Leinonen ( key 20180328170919_B3) 2004; 20 Shearer ( key 20180328170919_B6) 2014; 9
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