Literature DB >> 29218917

GeneDive: A gene interaction search and visualization tool to facilitate precision medicine.

Paul Previde1, Brook Thomas, Mike Wong, Emily K Mallory, Dragutin Petkovic, Russ B Altman, Anagha Kulkarni.   

Abstract

Obtaining relevant information about gene interactions is critical for understanding disease processes and treatment. With the rise in text mining approaches, the volume of such biomedical data is rapidly increasing, thereby creating a new problem for the users of this data: information overload. A tool for efficient querying and visualization of biomedical data that helps researchers understand the underlying biological mechanisms for diseases and drug responses, and ultimately helps patients, is sorely needed. To this end we have developed GeneDive, a web-based information retrieval, filtering, and visualization tool for large volumes of gene interaction data. GeneDive offers various features and modalities that guide the user through the search process to efficiently reach the information of their interest. GeneDive currently processes over three million gene-gene interactions with response times within a few seconds. For over half of the curated gene sets sourced from four prominent databases, more than 80% of the gene set members are recovered by GeneDive. In the near future, GeneDive will seamlessly accommodate other interaction types, such as gene-drug and gene-disease interactions, thus enabling full exploration of topics such as precision medicine. The GeneDive application and information about its underlying system architecture are available at http://www.genedive.net.

Entities:  

Mesh:

Year:  2018        PMID: 29218917      PMCID: PMC5807065     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  19 in total

1.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

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Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

2.  Interleukin-8 induces nuclear transcription factor-kappaB through a TRAF6-dependent pathway.

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Journal:  J Biol Chem       Date:  2004-12-09       Impact factor: 5.157

3.  Literome: PubMed-scale genomic knowledge base in the cloud.

Authors:  Hoifung Poon; Chris Quirk; Charlie DeZiel; David Heckerman
Journal:  Bioinformatics       Date:  2014-06-17       Impact factor: 6.937

4.  Dual oxidase 2 is essential for the toll-like receptor 5-mediated inflammatory response in airway mucosa.

Authors:  Jung-Hee Joo; Ji-Hwan Ryu; Chang-Hoon Kim; Hyun Jik Kim; Mi-Sun Suh; Jin-Oh Kim; Seung Yeun Chung; Sang Nam Lee; Hwan Mook Kim; Yun Soo Bae; Joo-Heon Yoon
Journal:  Antioxid Redox Signal       Date:  2011-08-08       Impact factor: 8.401

5.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

6.  Discovery and explanation of drug-drug interactions via text mining.

Authors:  Bethany Percha; Yael Garten; Russ B Altman
Journal:  Pac Symp Biocomput       Date:  2012

7.  Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism.

Authors:  Luis Tari; Saadat Anwar; Shanshan Liang; James Cai; Chitta Baral
Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

8.  Integration of gene mutations in risk prognostication for patients receiving first-line immunochemotherapy for follicular lymphoma: a retrospective analysis of a prospective clinical trial and validation in a population-based registry.

Authors:  Alessandro Pastore; Vindi Jurinovic; Robert Kridel; Eva Hoster; Annette M Staiger; Monika Szczepanowski; Christiane Pott; Nadja Kopp; Mark Murakami; Heike Horn; Ellen Leich; Alden A Moccia; Anja Mottok; Ashwini Sunkavalli; Paul Van Hummelen; Matthew Ducar; Daisuke Ennishi; Hennady P Shulha; Christoffer Hother; Joseph M Connors; Laurie H Sehn; Martin Dreyling; Donna Neuberg; Peter Möller; Alfred C Feller; Martin L Hansmann; Harald Stein; Andreas Rosenwald; German Ott; Wolfram Klapper; Michael Unterhalt; Wolfgang Hiddemann; Randy D Gascoyne; David M Weinstock; Oliver Weigert
Journal:  Lancet Oncol       Date:  2015-08-06       Impact factor: 41.316

Review 9.  Type 2 diabetes mellitus.

Authors:  Ralph A DeFronzo; Ele Ferrannini; Leif Groop; Robert R Henry; William H Herman; Jens Juul Holst; Frank B Hu; C Ronald Kahn; Itamar Raz; Gerald I Shulman; Donald C Simonson; Marcia A Testa; Ram Weiss
Journal:  Nat Rev Dis Primers       Date:  2015-07-23       Impact factor: 52.329

10.  Rip2 participates in Bcl10 signaling and T-cell receptor-mediated NF-kappaB activation.

Authors:  Astrid A Ruefli-Brasse; Wyne P Lee; Stephen Hurst; Vishva M Dixit
Journal:  J Biol Chem       Date:  2003-11-24       Impact factor: 5.157

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  3 in total

1.  Multifactor dimensionality reduction reveals a strong gene-gene interaction between STC1 and COL11A1 genes as a possible risk factor of knee osteoarthritis.

Authors:  Javier Fernández-Torres; Gabriela Angélica Martínez-Nava; Yessica Zamudio-Cuevas; Karina Martínez-Flores; Fernando Mijares-Díaz
Journal:  Mol Biol Rep       Date:  2020-03-05       Impact factor: 2.316

2.  Search and visualization of gene-drug-disease interactions for pharmacogenomics and precision medicine research using GeneDive.

Authors:  Mike Wong; Paul Previde; Jack Cole; Brook Thomas; Nayana Laxmeshwar; Emily Mallory; Jake Lever; Dragutin Petkovic; Russ B Altman; Anagha Kulkarni
Journal:  J Biomed Inform       Date:  2021-03-16       Impact factor: 8.000

3.  GAIL: An interactive webserver for inference and dynamic visualization of gene-gene associations based on gene ontology guided mining of biomedical literature.

Authors:  Daniel Couch; Zhenning Yu; Jin Hyun Nam; Carter Allen; Paula S Ramos; Willian A da Silveira; Kelly J Hunt; Edward S Hazard; Gary Hardiman; Andrew Lawson; Dongjun Chung
Journal:  PLoS One       Date:  2019-07-01       Impact factor: 3.240

  3 in total

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