Literature DB >> 15308539

BioLingua: a programmable knowledge environment for biologists.

J P Massar1, Michael Travers, Jeff Elhai, Jeff Shrager.   

Abstract

UNLABELLED: BioLingua is an interactive, web-based programming environment that enables biologists to analyze biological systems by combining knowledge and data through direct end-user programming. BioLingua embeds a mature symbolic programming language in a frame-based knowledge environment, integrating genomic and pathway knowledge about a class of similar organisms. The BioLingua language provides interfaces to numerous state-of-the-art bioinformatic tools, making these available as an integrated package through the novel use of web-based programmability and an integrated Wiki-based community code and data store. The pilot instantiation of BioLingua, which has been developed in collaboration with several cyanobacteriologists, integrates knowledge about a subset of cyanobacteria with the Gene Ontology, KEGG and BioCyc knowledge bases. We introduce the BioLingua concept, architecture and language, and give several examples of its use in complex analyses. AVAILABILITY: Extensive documentation is available online at http://nostoc.stanford.edu/Docs/index.html CONTACT: JShrager@Stanford.edu

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Year:  2004        PMID: 15308539     DOI: 10.1093/bioinformatics/bth465

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  A semantic web framework to integrate cancer omics data with biological knowledge.

Authors:  Matthew E Holford; James P McCusker; Kei-Hoi Cheung; Michael Krauthammer
Journal:  BMC Bioinformatics       Date:  2012-01-25       Impact factor: 3.169

2.  Programming with models: modularity and abstraction provide powerful capabilities for systems biology.

Authors:  Aneil Mallavarapu; Matthew Thomson; Benjamin Ullian; Jeremy Gunawardena
Journal:  J R Soc Interface       Date:  2009-03-06       Impact factor: 4.118

3.  Very small mobile repeated elements in cyanobacterial genomes.

Authors:  Jeff Elhai; Michiko Kato; Sarah Cousins; Peter Lindblad; José Luis Costa
Journal:  Genome Res       Date:  2008-07-03       Impact factor: 9.043

4.  Characterizing Data Discovery and End-User Computing Needs in Clinical Translational Science.

Authors:  Parmit K Chilana; Elishema Fishman; Estella M Geraghty; Peter Tarczy-Hornoch; Fredric M Wolf; Nick R Anderson
Journal:  J Organ End User Comput       Date:  2011       Impact factor: 4.349

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.  BioBIKE: a Web-based, programmable, integrated biological knowledge base.

Authors:  Jeff Elhai; Arnaud Taton; J P Massar; John K Myers; Mike Travers; Johnny Casey; Mark Slupesky; Jeff Shrager
Journal:  Nucleic Acids Res       Date:  2009-05-11       Impact factor: 16.971

7.  Deductive biocomputing.

Authors:  Jeff Shrager; Richard Waldinger; Mark Stickel; J P Massar
Journal:  PLoS One       Date:  2007-04-04       Impact factor: 3.240

Review 8.  Toward a systems-level understanding of gene regulatory, protein interaction, and metabolic networks in cyanobacteria.

Authors:  Miguel A Hernández-Prieto; Trudi A Semeniuk; Matthias E Futschik
Journal:  Front Genet       Date:  2014-07-02       Impact factor: 4.599

  8 in total

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