Literature DB >> 26094768

The Importance of Biological Databases in Biological Discovery.

Andreas D Baxevanis1, Alex Bateman2.   

Abstract

Biological databases play a central role in bioinformatics. They offer scientists the opportunity to access a wide variety of biologically relevant data, including the genomic sequences of an increasingly broad range of organisms. This unit provides a brief overview of major sequence databases and portals, such as GenBank, the UCSC Genome Browser, and Ensembl. Model organism databases, including WormBase, The Arabidopsis Information Resource (TAIR), and those made available through the Mouse Genome Informatics (MGI) resource, are also covered. Non-sequence-centric databases, such as Online Mendelian Inheritance in Man (OMIM), the Protein Data Bank (PDB), MetaCyc, and the Kyoto Encyclopedia of Genes and Genomes (KEGG), are also discussed.
Copyright © 2015 John Wiley & Sons, Inc.

Entities:  

Keywords:  biological database; biological pathways; model organisms; sequence database; structure database

Mesh:

Year:  2015        PMID: 26094768     DOI: 10.1002/0471250953.bi0101s50

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


  9 in total

1.  An integrated iterative annotation technique for easing neural network training in medical image analysis.

Authors:  Brendon Lutnick; Brandon Ginley; Darshana Govind; Sean D McGarry; Peter S LaViolette; Rabi Yacoub; Sanjay Jain; John E Tomaszewski; Kuang-Yu Jen; Pinaki Sarder
Journal:  Nat Mach Intell       Date:  2019-02-11

2.  MFIB: a repository of protein complexes with mutual folding induced by binding.

Authors:  Erzsébet Fichó; István Reményi; István Simon; Bálint Mészáros
Journal:  Bioinformatics       Date:  2017-11-15       Impact factor: 6.937

3.  PathWalks: identifying pathway communities using a disease-related map of integrated information.

Authors:  Evangelos Karatzas; Margarita Zachariou; Marilena M Bourdakou; George Minadakis; Anastasis Oulas; George Kolios; Alex Delis; George M Spyrou
Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

4.  Using machine learning tools for protein database biocuration assistance.

Authors:  Caroline König; Ilmira Shaim; Alfredo Vellido; Enrique Romero; René Alquézar; Jesús Giraldo
Journal:  Sci Rep       Date:  2018-07-05       Impact factor: 4.379

Review 5.  A Comprehensive Review on Medicinal Plants as Antimicrobial Therapeutics: Potential Avenues of Biocompatible Drug Discovery.

Authors:  Uttpal Anand; Nadia Jacobo-Herrera; Ammar Altemimi; Naoufal Lakhssassi
Journal:  Metabolites       Date:  2019-11-01

6.  Openness and trust in data-intensive science: the case of biocuration.

Authors:  Ane Møller Gabrielsen
Journal:  Med Health Care Philos       Date:  2020-09

7.  A Computational Text Mining-Guided Meta-Analysis Approach to Identify Potential Xerostomia Drug Targets.

Authors:  Micaela F Beckman; Elizabeth J Brennan; Chika K Igba; Michael T Brennan; Farah B Mougeot; Jean-Luc C Mougeot
Journal:  J Clin Med       Date:  2022-03-05       Impact factor: 4.241

8.  Patterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resources.

Authors:  David Bousfield; Johanna McEntyre; Sameer Velankar; George Papadatos; Alex Bateman; Guy Cochrane; Jee-Hyub Kim; Florian Graef; Vid Vartak; Blaise Alako; Niklas Blomberg
Journal:  F1000Res       Date:  2016-02-11

9.  Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases.

Authors:  Qingyu Chen; Ramona Britto; Ivan Erill; Constance J Jeffery; Arthur Liberzon; Michele Magrane; Jun-Ichi Onami; Marc Robinson-Rechavi; Jana Sponarova; Justin Zobel; Karin Verspoor
Journal:  Genomics Proteomics Bioinformatics       Date:  2020-07-09       Impact factor: 7.691

  9 in total

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