Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pegah T Afshar"'
Autor:
Sayed Mohammad Ebrahim Sahraeian, Marghoob Mohiyuddin, Robert Sebra, Hagen Tilgner, Pegah T. Afshar, Kin Fai Au, Narges Bani Asadi, Mark B. Gerstein, Wing Hung Wong, Michael P. Snyder, Eric Schadt, Hugo Y. K. Lam
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-15 (2017)
RNA-seq is widely used for transcriptome analysis. Here, the authors analyse a wide spectrum of RNA-seq workflows and present a comprehensive analysis protocol named RNACocktail as well as a computational pipeline leveraging the widely used tools for
Externí odkaz:
https://doaj.org/article/0de7f1d5eb3f4b9daae33212abd18a28
Publikováno v:
Bioinformatics
Motivation Isoform deconvolution is an NP-hard problem. The accuracy of the proposed solutions is far from perfect. At present, it is not known if gene structure and isoform concentration can be uniquely inferred given paired-end reads, and there is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3ead38dfcb2669e0b7e5a6f2c3820b1
https://europepmc.org/articles/PMC8896638/
https://europepmc.org/articles/PMC8896638/
Autor:
Scott Schwartz, Ryan Poplin, David Alexander, Thomas Colthurst, Alexander Ku, Jojo Dijamco, Dan Newburger, Nam Nguyen, Pegah T Afshar, Pi-Chuan Chang, Mark A. DePristo, Sam S Gross, Cory Y. McLean, Lizzie Dorfman
Publikováno v:
Nature biotechnology. 36(10)
Despite rapid advances in sequencing technologies, accurately calling genetic variants present in an individual genome from billions of short, errorful sequence reads remains challenging. Here we show that a deep convolutional neural network can call
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e313f555ae721c647b5567d64290a53
https://pubmed.ncbi.nlm.nih.gov/30247488
https://pubmed.ncbi.nlm.nih.gov/30247488
Autor:
Ryan Poplin, Cory Y. McLean, Dan Newburger, Thomas Colthurst, Lizzie Dorfman, Scott Schwartz, Nam Nguyen, Mark A. DePristo, Alexander Ku, Jojo Dijamco, Pi-Chuan Chang, David Alexander, Sam S Gross, Pegah T Afshar
Next-generation sequencing (NGS) is a rapidly evolving set of technologies that can be used to determine the sequence of an individual’s genome1 by calling genetic variants present in an individual using billions of short, errorful sequence reads2.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d19f9270fd411eda07e96c71a74afef