Literature DB >> 18428753

The importance of biological databases in biological discovery.

Andreas D Baxevanis.   

Abstract

Biological databases play a central role in bioinformatics. They offer scientists the opportunity to access sequence and structure data for tens of thousands of sequences from a broad range of organisms. This unit provides a brief overview of major sequence databases and portals, such as GenBank, UCSC Genome Browser, and Ensembl. Model organism databases, including the TIGR Gene Indices, WormBase, and the Arabidopsis Information Resource (TAIR) are also covered. Non-sequence-centric databases such as Online Mendelian Inheritance in Man (OMIM), the Protein Data Bank (PDB), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) are also discussed.

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Year:  2006        PMID: 18428753     DOI: 10.1002/0471250953.bi0101s13

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  6 in total

1.  Structural Insights into Selective Ligand-Receptor Interactions Leading to Receptor Inactivation Utilizing Selective Melanocortin 3 Receptor Antagonists.

Authors:  Minying Cai; Udaya Kiran Marelli; Blake Mertz; Johannes G Beck; Florian Opperer; Florian Rechenmacher; Horst Kessler; Victor J Hruby
Journal:  Biochemistry       Date:  2017-08-01       Impact factor: 3.162

Review 2.  Hypothesis-driven candidate gene association studies: practical design and analytical considerations.

Authors:  Timothy J Jorgensen; Ingo Ruczinski; Bailey Kessing; Michael W Smith; Yin Yao Shugart; Anthony J Alberg
Journal:  Am J Epidemiol       Date:  2009-09-17       Impact factor: 4.897

3.  Exploration of plant genomes in the FLAGdb++ environment.

Authors:  Sandra Dèrozier; Franck Samson; Jean-Philippe Tamby; Cécile Guichard; Véronique Brunaud; Philippe Grevet; Séverine Gagnot; Philippe Label; Jean-Charles Leplé; Alain Lecharny; Sébastien Aubourg
Journal:  Plant Methods       Date:  2011-03-29       Impact factor: 4.993

4.  Abnormal expression of FLI1 protein is an adverse prognostic factor in acute myeloid leukemia.

Authors:  Steven M Kornblau; Yi Hua Qiu; Nianxiang Zhang; Neera Singh; Stefan Faderl; Alessandra Ferrajoli; Heather York; Amina A Qutub; Kevin R Coombes; Dennis K Watson
Journal:  Blood       Date:  2011-09-13       Impact factor: 22.113

5.  Computational Epigenetics: the new scientific paradigm.

Authors:  Shen Jean Lim; Tin Wee Tan; Joo Chuan Tong
Journal:  Bioinformation       Date:  2010-01-23

6.  Detailed mitochondrial phenotyping by high resolution metabolomics.

Authors:  James R Roede; Youngja Park; Shuzhao Li; Frederick H Strobel; Dean P Jones
Journal:  PLoS One       Date:  2012-03-06       Impact factor: 3.240

  6 in total

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