Literature DB >> 15374875

PhenomicDB: a multi-species genotype/phenotype database for comparative phenomics.

Abdullah Kahraman1, Andrey Avramov, Lyubomir G Nashev, Dimitar Popov, Rainer Ternes, Hans-Dieter Pohlenz, Bertram Weiss.   

Abstract

UNLABELLED: We have created PhenomicDB, a multi-species genotype/phenotype database by merging public genotype/phenotype data from a wide range of model organisms and Homo sapiens. Until now these data were available in distinct organism-specific databases (e.g. WormBase, OMIM, FlyBase and MGI). We compiled this wealth of data into a single integrated resource by coarse-grained semantic mapping of the phenotypic data fields, by including common gene indices (NCBI Gene), and by the use of associated orthology relationships. With its use-case-oriented user interface, PhenomicDB allows scientists to compare and browse known phenotypes for a given gene or a set of genes from different organisms simultaneously. AVAILABILITY: PhenomicDB has been implemented at Schering AG as described below. A PhenomicDB implementation differing in some technical details has been set up for the public at Metalife AG http://www.phenomicDB.de SUPPLEMENTARY INFORMATION: database model, semantic mapping table.

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Year:  2004        PMID: 15374875     DOI: 10.1093/bioinformatics/bti010

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


  20 in total

Review 1.  Identification of genes encoding tRNA modification enzymes by comparative genomics.

Authors:  Valérie de Crécy-Lagard
Journal:  Methods Enzymol       Date:  2007       Impact factor: 1.600

Review 2.  Computational approaches to phenotyping: high-throughput phenomics.

Authors:  Yves A Lussier; Yang Liu
Journal:  Proc Am Thorac Soc       Date:  2007-01

Review 3.  Resources for functional genomics studies in Drosophila melanogaster.

Authors:  Stephanie E Mohr; Yanhui Hu; Kevin Kim; Benjamin E Housden; Norbert Perrimon
Journal:  Genetics       Date:  2014-03-20       Impact factor: 4.562

Review 4.  Fishing forward and reverse: Advances in zebrafish phenomics.

Authors:  Ricardo Fuentes; Joaquín Letelier; Benjamin Tajer; Leonardo E Valdivia; Mary C Mullins
Journal:  Mech Dev       Date:  2018-08-18       Impact factor: 1.882

Review 5.  Whole-Organism Cellular Pathology: A Systems Approach to Phenomics.

Authors:  K C Cheng; S R Katz; A Y Lin; X Xin; Y Ding
Journal:  Adv Genet       Date:  2016-07-29       Impact factor: 1.944

6.  Analysis of disease organ as a novel phenotype towards disease genetics understanding.

Authors:  Lingyun Luo; Chunlei Zheng; Jiaolong Wang; Minsheng Tan; Yanshu Li; Rong Xu
Journal:  J Biomed Inform       Date:  2019-06-15       Impact factor: 6.317

7.  New ENU-induced semidominant mutation, Ali18, causes inflammatory arthritis, dermatitis, and osteoporosis in the mouse.

Authors:  Koichiro Abe; Helmut Fuchs; Thomas Lisse; Wolfgang Hans; Martin Hrabé de Angelis
Journal:  Mamm Genome       Date:  2006-09-08       Impact factor: 2.957

8.  PhenoHM: human-mouse comparative phenome-genome server.

Authors:  Divya Sardana; Suresh Vasa; Nishanth Vepachedu; Jing Chen; Ranga Chandra Gudivada; Bruce J Aronow; Anil G Jegga
Journal:  Nucleic Acids Res       Date:  2010-05-27       Impact factor: 16.971

9.  A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics.

Authors:  Pramod Rajaram Somvanshi; K V Venkatesh
Journal:  Syst Synth Biol       Date:  2013-09-18

Review 10.  Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement.

Authors:  Joshua N Cobb; Genevieve Declerck; Anthony Greenberg; Randy Clark; Susan McCouch
Journal:  Theor Appl Genet       Date:  2013-03-08       Impact factor: 5.699

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