Results 101 to 110 of about 536,139 (245)

A database of orthologous exons in primates for comparative analysis of RNA-seq data [PDF]

, 2012
RNA-seq technology facilitates the study of gene expression at the level of individual exons and transcripts. Moreover, RNA-seq enables unbiased comparative analysis of expression levels across species.
Ran Blekhman
core   +1 more source

Next generation sequencing of PD-L1 for predicting response to immune checkpoint inhibitors

Journal for ImmunoTherapy of Cancer, 2019
Background PD-L1 immunohistochemistry (IHC) has been traditionally used for predicting clinical responses to immune checkpoint inhibitors (ICIs). However, there are at least 4 different assays and antibodies used for PD-L1 IHC, each developed with a ...
Jeffrey M. Conroy, Sarabjot Pabla, Mary K. Nesline, Sean T. Glenn, Antonios Papanicolau-Sengos, Blake Burgher, Jonathan Andreas, Vincent Giamo, Yirong Wang, Felicia L. Lenzo, Wiam Bshara, Maya Khalil, Grace K. Dy, Katherine G. Madden, Keisuke Shirai, Konstantin Dragnev, Laura J. Tafe, Jason Zhu, Matthew Labriola, Daniele Marin, Shannon J. McCall, Jeffrey Clarke, Daniel J. George, Tian Zhang, Matthew Zibelman, Pooja Ghatalia, Isabel Araujo-Fernandez, Luis de la Cruz-Merino, Arun Singavi, Ben George, Alexander C. MacKinnon, Jonathan Thompson, Rajbir Singh, Robin Jacob, Deepa Kasuganti, Neel Shah, Roger Day, Lorenzo Galluzzi, Mark Gardner, Carl Morrison   +39 more
doaj   +1 more source

Understanding the pathogenesis of Alzheimer’s disease: will RNA‐Seq realize the promise of transcriptomics? [PDF]

, 2010
Greg T. Sutherland, Michael Janitz, Jillian J. Kril   +2 more
openalex   +1 more source

Indel detection from DNA and RNA sequencing data with transIndel

BMC Genomics, 2018
Background Insertions and deletions (indels) are a major class of genomic variation associated with human disease. Indels are primarily detected from DNA sequencing (DNA-seq) data but their transcriptional consequences remain unexplored due to challenges
Rendong Yang, Jamie L. Van Etten, Scott M. Dehm   +2 more
doaj   +1 more source

Analyzing RNA-Seq data with RNASeqGUI

EMBnet.journal, 2014
RNA-seq has quickly become one of the most widely used approaches for identifying differences in the gene expression across multiple biological conditions. In this work, we present RNASeqGUI, a novel R-package that implements a graphical platform devoted to analyse RNA-Seq data, and illustrate both the most recently added features and those ones that ...
Claudia Angelini, Francesco Russo
openaire   +4 more sources

A survey of statistical software for analysing RNA-seq data [PDF]

, 2010
Dexiang Gao, Jihye Kim, Hyunmin Kim, Tzu Phang, Heather M. Selby, Aik Choon Tan, Tiejun Tong   +6 more
openalex   +1 more source

Single-cell total-RNA profiling unveils regulatory hubs of transcription factors

Nature Communications
Recent development of RNA velocity uses master equations to establish the kinetics of the life cycle of RNAs from unspliced RNA to spliced RNA (i.e., mature RNA) to degradation. To feed this kinetic analysis, simultaneous measurement of unspliced RNA and
Yichi Niu, Jiayi Luo, Chenghang Zong
doaj   +1 more source

A probabilistic framework for aligning paired-end RNA-seq data [PDF]

, 2010
Yin Hu, Kai Wang, Xiaping He, Derek Y. Chiang, Jan F. Prins, Jinze Liu   +5 more
openalex   +1 more source

Poly(A) inclusive RNA isoform sequencing (PAIso−seq) reveals wide-spread non-adenosine residues within RNA poly(A) tails

Nature Communications, 2019
The poly(A) tails on mRNA are vital for their function but it is difficult to map full-length sequences of mRNA isoforms with the entire poly(A) tails.
Yusheng Liu, Hu Nie, Hongxiang Liu, Falong Lu   +3 more
doaj   +1 more source

New insights into the blood‐stage transcriptome of Plasmodium falciparum using RNA‐Seq [PDF]

, 2010
Thomas D. Otto, Daniel Wilinski, Sammy A. Assefa, Thomas Keane, Louis R. Sarry, Ulrike Böhme, Jacob E. Lemieux, Bart Barrell, Arnab Pain, Matthew Berriman, Chris Newbold, Manuel Llinás   +11 more
openalex   +1 more source