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Novel bioinformatics method for identification of genome-wide non-canonical spliced regions using RNA-Seq data.
Bai, Yongsheng; Hassler, Justin; Ziyar, Ahdad; Li, Philip; Wright, Zachary; Menon, Rajasree; Omenn, Gilbert S; Cavalcoli, James D; Kaufman, Randal J; Sartor, Maureen A.
Afiliación
  • Bai Y; Department of Computational Medicine and Bioinformatics, and Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America; Morgridge Institute for Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Hassler J; Sanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
  • Ziyar A; Sanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
  • Li P; Sanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
  • Wright Z; Department of Computational Medicine and Bioinformatics, and Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Menon R; Department of Computational Medicine and Bioinformatics, and Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Omenn GS; Department of Computational Medicine and Bioinformatics, and Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America; Departments of Internal Medicine and Human Genetics, and School of Public Health, University of Michigan, United S
  • Cavalcoli JD; Department of Computational Medicine and Bioinformatics, and Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Kaufman RJ; Sanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
  • Sartor MA; Department of Computational Medicine and Bioinformatics, and Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.
PLoS One ; 9(7): e100864, 2014.
Article en En | MEDLINE | ID: mdl-24991935
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Empalme del ARN / Proteínas Serina-Treonina Quinasas / Genómica / Endorribonucleasas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Empalme del ARN / Proteínas Serina-Treonina Quinasas / Genómica / Endorribonucleasas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos