Literature DB >> 15208185

Pathway databases.

Carl F Schaefer1.   

Abstract

Network representations of biological pathways offer a functional view of molecular biology that is different from and complementary to sequence, expression, and structure databases. There is currently available a wide range of digital collections of pathway data, differing in organisms included, functional area covered (e.g., metabolism vs. signaling), detail of modeling, and support for dynamic pathway construction. While it is currently impossible for these databases to communicate with each other, there are several efforts at standardizing a data exchange language for pathway data. Databases that represent pathway data at the level of individual interactions make it possible to combine data from different predefined pathways and to query by network connectivity. Computable representations of pathways provide a basis for various analyses, including detection of broad network patterns, comparison with mRNA or protein abundance, and simulation.

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Year:  2004        PMID: 15208185     DOI: 10.1196/annals.1310.009

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  9 in total

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3.  Molecular signaling network complexity is correlated with cancer patient survivability.

Authors:  Dylan Breitkreutz; Lynn Hlatky; Edward Rietman; Jack A Tuszynski
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

4.  BioPP: a tool for web-publication of biological networks.

Authors:  Ganesh A Viswanathan; German Nudelman; Sonali Patil; Stuart C Sealfon
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

5.  cPath: open source software for collecting, storing, and querying biological pathways.

Authors:  Ethan G Cerami; Gary D Bader; Benjamin E Gross; Chris Sander
Journal:  BMC Bioinformatics       Date:  2006-11-13       Impact factor: 3.169

6.  NetPath: a public resource of curated signal transduction pathways.

Authors:  Kumaran Kandasamy; S Sujatha Mohan; Rajesh Raju; Shivakumar Keerthikumar; Ghantasala S Sameer Kumar; Abhilash K Venugopal; Deepthi Telikicherla; J Daniel Navarro; Suresh Mathivanan; Christian Pecquet; Sashi Kanth Gollapudi; Sudhir Gopal Tattikota; Shyam Mohan; Hariprasad Padhukasahasram; Yashwanth Subbannayya; Renu Goel; Harrys K C Jacob; Jun Zhong; Raja Sekhar; Vishalakshi Nanjappa; Lavanya Balakrishnan; Roopashree Subbaiah; Y L Ramachandra; B Abdul Rahiman; T S Keshava Prasad; Jian-Xin Lin; Jon C D Houtman; Stephen Desiderio; Jean-Christophe Renauld; Stefan N Constantinescu; Osamu Ohara; Toshio Hirano; Masato Kubo; Sujay Singh; Purvesh Khatri; Sorin Draghici; Gary D Bader; Chris Sander; Warren J Leonard; Akhilesh Pandey
Journal:  Genome Biol       Date:  2010-01-12       Impact factor: 13.583

7.  Snazer: the simulations and networks analyzer.

Authors:  Tommaso Mazza; Gennaro Iaccarino; Corrado Priami
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8.  Identification of key processes underlying cancer phenotypes using biologic pathway analysis.

Authors:  Sol Efroni; Carl F Schaefer; Kenneth H Buetow
Journal:  PLoS One       Date:  2007-05-09       Impact factor: 3.240

9.  Extending pathways based on gene lists using InterPro domain signatures.

Authors:  Florian Hahne; Alexander Mehrle; Dorit Arlt; Annemarie Poustka; Stefan Wiemann; Tim Beissbarth
Journal:  BMC Bioinformatics       Date:  2008-01-04       Impact factor: 3.169

  9 in total

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