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Seqping: gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data.
Chan, Kuang-Lim; Rosli, Rozana; Tatarinova, Tatiana V; Hogan, Michael; Firdaus-Raih, Mohd; Low, Eng-Ti Leslie.
Affiliation
  • Chan KL; Advanced Biotechnology and Breeding Center, Malaysian Palm Oil Board, 6 Persiaran Institusi, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia. chankl@mpob.gov.my.
  • Rosli R; Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia. chankl@mpob.gov.my.
  • Tatarinova TV; Advanced Biotechnology and Breeding Center, Malaysian Palm Oil Board, 6 Persiaran Institusi, Bandar Baru Bangi, 43000, Kajang, Selangor, Malaysia.
  • Hogan M; Center for Personalized Medicine and Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
  • Firdaus-Raih M; Orion Genomics, 4041 Forest Park Avenue, St. Louis, MO, 63108, USA.
  • Low EL; Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
BMC Bioinformatics ; 18(Suppl 1): 1426, 2017 Jan 27.
Article in En | MEDLINE | ID: mdl-28466793

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genome, Plant / Gene Expression Profiling / Genomics / Transcriptome Type of study: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genome, Plant / Gene Expression Profiling / Genomics / Transcriptome Type of study: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: Country of publication: