Literature DB >> 21628315

From genotype to phenotype in bovine functional genomics.

Chandra S Pareek1, Rafal Smoczynski, Mariusz Pierzchala, Urszula Czarnik, Andrzej Tretyn.   

Abstract

In past 5 years, the promise that came with genome sequencing has revolutionized the functional genomics research field at unprecedented manner. It would soon know what all known genes do, particularly genes involved in genetic improvement of animal health and increase food animal production. With the availability of full bovine genomic sequence, yet we still have a lot of daunting tasks on 'genotype-to-phenotype problem' particularly about the phenotypic variations and trying to predict what genes are likely to be involved, and improved integrated interactive database. This article outlined and discussed about the current status of bovine functional genomics, recent development in bovine genome databases particularly in annotation of bovine genome, bovine quantitative trait loci database and its potential impact to unveil the from genotype-to-phenotype problem.

Entities:  

Mesh:

Year:  2011        PMID: 21628315     DOI: 10.1093/bfgp/elr019

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  4 in total

1.  The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction.

Authors:  Jean-Francois Hocquette; Carine Bernard-Capel; Veronique Vidal; Beline Jesson; Hubert Levéziel; Gilles Renand; Isabelle Cassar-Malek
Journal:  BMC Vet Res       Date:  2012-08-15       Impact factor: 2.741

2.  Large-scale gene co-expression network as a source of functional annotation for cattle genes.

Authors:  Hamid Beiki; Ardeshir Nejati-Javaremi; Abbas Pakdel; Ali Masoudi-Nejad; Zhi-Liang Hu; James M Reecy
Journal:  BMC Genomics       Date:  2016-11-02       Impact factor: 3.969

3.  A genome-wide association study of immune response traits in Canadian Holstein cattle.

Authors:  Kathleen A Thompson-Crispi; Mehdi Sargolzaei; Ricardo Ventura; Mohammed Abo-Ismail; Filippo Miglior; Flavio Schenkel; Bonnie A Mallard
Journal:  BMC Genomics       Date:  2014-07-04       Impact factor: 3.969

4.  Single Nucleotide Polymorphism Discovery in Bovine Pituitary Gland Using RNA-Seq Technology.

Authors:  Chandra Shekhar Pareek; Rafał Smoczyński; Haja N Kadarmideen; Piotr Dziuba; Paweł Błaszczyk; Marcin Sikora; Paulina Walendzik; Tomasz Grzybowski; Mariusz Pierzchała; Jarosław Horbańczuk; Agnieszka Szostak; Magdalena Ogluszka; Lech Zwierzchowski; Urszula Czarnik; Leyland Fraser; Przemysław Sobiech; Krzysztof Wąsowicz; Brian Gelfand; Yaping Feng; Dibyendu Kumar
Journal:  PLoS One       Date:  2016-09-08       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.