Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yulei N. Wang"'
Autor:
Onur Sakarya, Heinz Breu, Milan Radovich, Yongzhi Chen, Yulei N Wang, Catalin Barbacioru, Sowmi Utiramerur, Penn P Whitley, Joel P Brockman, Paolo Vatta, Zheng Zhang, Liviu Popescu, Matthew W Muller, Vidya Kudlingar, Nriti Garg, Chieh-Yuan Li, Benjamin S Kong, John P Bodeau, Robert C Nutter, Jian Gu, Kelli S Bramlett, Jeffrey K Ichikawa, Fiona C Hyland, Asim S Siddiqui
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 4, p e1002464 (2012)
High-throughput RNA sequencing enables quantification of transcripts (both known and novel), exon/exon junctions and fusions of exons from different genes. Discovery of gene fusions-particularly those expressed with low abundance- is a challenge with
Externí odkaz:
https://doaj.org/article/74a83f81239d4243ae7b1565ad835612
Autor:
Sowmi Utiramerur, Milan Radovich, Jeffrey K. Ichikawa, Yongzhi Chen, Fiona Hyland, Kelli Bramlett, Paolo Vatta, Vidya Kudlingar, Liviu Popescu, Heinz Breu, Yulei N. Wang, Robert C. Nutter, P. Whitley, Asim S. Siddiqui, Nriti Garg, Matthew W. Muller, Benjamin S. Kong, John Bodeau, Catalin Barbacioru, Zheng Zhang, Joel Brockman, Onur Sakarya, Chieh-Yuan Li, Jian Gu
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 8, Iss 4, p e1002464 (2012)
PLoS Computational Biology, Vol 8, Iss 4, p e1002464 (2012)
High-throughput RNA sequencing enables quantification of transcripts (both known and novel), exon/exon junctions and fusions of exons from different genes. Discovery of gene fusions–particularly those expressed with low abundance– is a challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee026de4b4b245a7aad9b5db0532ae5
http://europepmc.org/articles/PMC3320572
http://europepmc.org/articles/PMC3320572
Autor:
Frances Chan, David N. Keys, Yulei N. Wang, Catalin Barbacioru, Karen Poulter, Raymond R. Samaha, Roger D. Canales, Yongming A. Sun
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 533 (2006)
BMC Bioinformatics
BMC Bioinformatics
Background DNA microarray technology provides a powerful tool for characterizing gene expression on a genome scale. While the technology has been widely used in discovery-based medical and basic biological research, its direct application in clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b28f9c621d2a7b8183226305804e895
https://doi.org/10.1186/1471-2105-7-533
https://doi.org/10.1186/1471-2105-7-533