Literature DB >> 23673292

A review of genomic data warehousing systems.

Thomas Triplet, Gregory Butler.   

Abstract

To facilitate the integration and querying of genomics data, a number of generic data warehousing frameworks have been developed. They differ in their design and capabilities, as well as their intended audience. We provide a comprehensive and quantitative review of those genomic data warehousing frameworks in the context of large-scale systems biology. We reviewed in detail four genomic data warehouses (BioMart, BioXRT, InterMine and PathwayTools) freely available to the academic community. We quantified 20 aspects of the warehouses, covering the accuracy of their responses, their computational requirements and development efforts. Performance of the warehouses was evaluated under various hardware configurations to help laboratories optimize hardware expenses. Each aspect of the benchmark may be dynamically weighted by scientists using our online tool BenchDW (http://warehousebenchmark.fungalgenomics.ca/benchmark/) to build custom warehouse profiles and tailor our results to their specific needs.

Mesh:

Year:  2014        PMID: 23673292     DOI: 10.1093/bib/bbt031

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  11 in total

1.  Big data and biomedical informatics: a challenging opportunity.

Authors:  R Bellazzi
Journal:  Yearb Med Inform       Date:  2014-05-22

2.  A comparative hidden Markov model analysis pipeline identifies proteins characteristic of cereal-infecting fungi.

Authors:  Jana Sperschneider; Donald M Gardiner; Jennifer M Taylor; James K Hane; Karam B Singh; John M Manners
Journal:  BMC Genomics       Date:  2013-11-20       Impact factor: 3.969

3.  An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.

Authors:  Yi-An Chen; Lokesh P Tripathi; Kenji Mizuguchi
Journal:  Database (Oxford)       Date:  2016-03-17       Impact factor: 3.451

4.  Dintor: functional annotation of genomic and proteomic data.

Authors:  Christian X Weichenberger; Hagen Blankenburg; Antonia Palermo; Yuri D'Elia; Eva König; Erik Bernstein; Francisco S Domingues
Journal:  BMC Genomics       Date:  2015-12-21       Impact factor: 3.969

5.  How the strengths of Lisp-family languages facilitate building complex and flexible bioinformatics applications.

Authors:  Bohdan B Khomtchouk; Edmund Weitz; Peter D Karp; Claes Wahlestedt
Journal:  Brief Bioinform       Date:  2018-05-01       Impact factor: 11.622

6.  AgBioData consortium recommendations for sustainable genomics and genetics databases for agriculture.

Authors:  Lisa Harper; Jacqueline Campbell; Ethalinda K S Cannon; Sook Jung; Monica Poelchau; Ramona Walls; Carson Andorf; Elizabeth Arnaud; Tanya Z Berardini; Clayton Birkett; Steve Cannon; James Carson; Bradford Condon; Laurel Cooper; Nathan Dunn; Christine G Elsik; Andrew Farmer; Stephen P Ficklin; David Grant; Emily Grau; Nic Herndon; Zhi-Liang Hu; Jodi Humann; Pankaj Jaiswal; Clement Jonquet; Marie-Angélique Laporte; Pierre Larmande; Gerard Lazo; Fiona McCarthy; Naama Menda; Christopher J Mungall; Monica C Munoz-Torres; Sushma Naithani; Rex Nelson; Daureen Nesdill; Carissa Park; James Reecy; Leonore Reiser; Lacey-Anne Sanderson; Taner Z Sen; Margaret Staton; Sabarinath Subramaniam; Marcela Karey Tello-Ruiz; Victor Unda; Deepak Unni; Liya Wang; Doreen Ware; Jill Wegrzyn; Jason Williams; Margaret Woodhouse; Jing Yu; Doreen Main
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

Review 7.  Knowledge Discovery in Biological Databases for Revealing Candidate Genes Linked to Complex Phenotypes.

Authors:  Keywan Hassani-Pak; Christopher Rawlings
Journal:  J Integr Bioinform       Date:  2017-06-13

8.  Mining a database of single amplified genomes from Red Sea brine pool extremophiles-improving reliability of gene function prediction using a profile and pattern matching algorithm (PPMA).

Authors:  Stefan W Grötzinger; Intikhab Alam; Wail Ba Alawi; Vladimir B Bajic; Ulrich Stingl; Jörg Eppinger
Journal:  Front Microbiol       Date:  2014-04-07       Impact factor: 5.640

9.  INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.

Authors:  Intikhab Alam; André Antunes; Allan Anthony Kamau; Wail Ba Alawi; Manal Kalkatawi; Ulrich Stingl; Vladimir B Bajic
Journal:  PLoS One       Date:  2013-12-06       Impact factor: 3.240

10.  Screening of whole genome sequences identified high-impact variants for stallion fertility.

Authors:  Rahel Schrimpf; Maren Gottschalk; Julia Metzger; Gunilla Martinsson; Harald Sieme; Ottmar Distl
Journal:  BMC Genomics       Date:  2016-04-14       Impact factor: 3.969

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