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ChimerDB 3.0: an enhanced database for fusion genes from cancer transcriptome and literature data mining.
Lee, Myunggyo; Lee, Kyubum; Yu, Namhee; Jang, Insu; Choi, Ikjung; Kim, Pora; Jang, Ye Eun; Kim, Byounggun; Kim, Sunkyu; Lee, Byungwook; Kang, Jaewoo; Lee, Sanghyuk.
Afiliación
  • Lee M; Department of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
  • Lee K; Department of Computer Science and Engineering, Korea University, Seoul 02841, Republic of Korea.
  • Yu N; Department of Life Science, Ewha Womans University, Seoul 03760, Republic of Korea.
  • Jang I; Korean Bioinformation Center, Korean Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea.
  • Choi I; Ewha Research Center for Systems Biology, Ewha Womans University, Seoul 03760, Republic of Korea.
  • Kim P; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Jang YE; Department of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
  • Kim B; Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul 02841, Republic of Korea.
  • Kim S; Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul 02841, Republic of Korea.
  • Lee B; Korean Bioinformation Center, Korean Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea.
  • Kang J; Department of Computer Science and Engineering, Korea University, Seoul 02841, Republic of Korea kangj@korea.ac.kr.
  • Lee S; Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul 02841, Republic of Korea.
Nucleic Acids Res ; 45(D1): D784-D789, 2017 01 04.
Article en En | MEDLINE | ID: mdl-27899563
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas de Fusión Oncogénica / Bases de Datos Genéticas / Minería de Datos / Transcriptoma / Neoplasias Tipo de estudio: Guideline / Systematic_reviews Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2017 Tipo del documento: Article
Texto completo
Imprimir
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas de Fusión Oncogénica / Bases de Datos Genéticas / Minería de Datos / Transcriptoma / Neoplasias Tipo de estudio: Guideline / Systematic_reviews Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2017 Tipo del documento: Article