Literature DB >> 9399855

EpoDB: a database of genes expressed during vertebrate erythropoiesis.

F Salas1, J Haas, B Brunk, C J Stoeckert, G C Overton.   

Abstract

EpoDB is a database designed for the study of gene regulation during differentiation and development of vertebrate red blood cells. In building EpoDB, we have taken the in advance approach to the data integration problem: we have extracted data relevant to red blood cells from GenBank, SWISS-PROT, TRRD (transcriptional regulation data) and GERD (expression levels data) to create a single integrated, highly curated view. Tools have been developed to automate data extraction from online resources, cleanse data of errors, enter information manually from the primary literature, generate a uniform, canonical representation of information and maintain data currency. The database is organized around biological features, e.g., genes, rather than sequences, which are supported by a controlled and consistent vocabulary for gene names and gene family names. Beyond the standard database queries, the functionality of EpoDB includes the ability to extract features and subsequences, display sequences and features graphically using bioWidget viewers and integrated analysis tools. EpoDB may be accessed at: http://cbil.humgen.upenn.edu/epodb/

Mesh:

Year:  1998        PMID: 9399855      PMCID: PMC147174          DOI: 10.1093/nar/26.1.288

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  4 in total

1.  QGB: a system for querying sequence database fields and features.

Authors:  G C Overton; J S Aaronson; J Haas; J Adams
Journal:  J Comput Biol       Date:  1994       Impact factor: 1.479

2.  The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1998.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

3.  TRANSFAC, TRRD and COMPEL: towards a federated database system on transcriptional regulation.

Authors:  E Wingender; A E Kel; O V Kel; H Karas; T Heinemeyer; P Dietze; R Knüppel; A G Romaschenko; N A Kolchanov
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

4.  Gene structure prediction by linguistic methods.

Authors:  S Dong; D B Searls
Journal:  Genomics       Date:  1994-10       Impact factor: 5.736

  4 in total
  1 in total

1.  SBR-Blood: systems biology repository for hematopoietic cells.

Authors:  Jens Lichtenberg; Elisabeth F Heuston; Tejaswini Mishra; Cheryl A Keller; Ross C Hardison; David M Bodine
Journal:  Nucleic Acids Res       Date:  2015-11-20       Impact factor: 16.971

  1 in total

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