Results 71 to 80 of about 345,547 (215)

Pan‐Cancer Single‐Nucleus Total RNA Sequencing Using snHH‐Seq

Advanced Science
Tumor heterogeneity and its drivers impair tumor progression and cancer therapy. Single‐cell RNA sequencing is used to investigate the heterogeneity of tumor ecosystems. However, most methods of scRNA‐seq amplify the termini of polyadenylated transcripts,
Haide Chen, Xiunan Fang, Jikai Shao, Qi Zhang, Liwei Xu, Jiaye Chen, Yuqing Mei, Mengmeng Jiang, Yuting Wang, Zhouyang Li, Zihang Chen, Yang Chen, Chengxuan Yu, Lifeng Ma, Peijing Zhang, Tianyu Zhang, Yuan Liao, Yuexiao Lv, Xueyi Wang, Lei Yang, Yuting Fu, Daobao Chen, Liming Jiang, Feng Yan, Wei Lu, Gao Chen, Huahao Shen, Jingjing Wang, Changchun Wang, Tingbo Liang, Xiaoping Han, Yongcheng Wang, Guoji Guo   +32 more
doaj   +1 more source

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

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

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

Tracing the Derivation of Embryonic Stem Cells from the Inner Cell Mass by Single-Cell RNA-Seq Analysis [PDF]

, 2010
Fuchou Tang, Cátálin Bárbácioru, Siqin Bao, Caroline Lee, Ellen Nordman, Xiaohui Wang, Kaiqin Lao, M. Azim Surani   +7 more
openalex   +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

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

Novel methods for rRNA removal and directional, ligation-free RNA-seq library preparation [PDF]

, 2010
Roy Sooknanan, Jim Pease, Ken Doyle
openalex   +1 more source

Gene ontology analysis for RNA-seq: accounting for selection bias [PDF]

, 2010
Matthew D. Young, Matthew J. Wakefield, Gordon K. Smyth, Alicia Oshlack   +3 more
openalex   +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