… genomesequence knowledge is necessary, as RNA-seq data sets themselves can be used to create sequence assemblies for subsequent mapping of RNA-seq … single sequencing run. …
X Zhu, TK Wolfgruber, A Tasato, C Arisdakessian… - Genome medicine, 2017 - Springer
… Single-cell RNAsequencing (scRNA-Seq) is an increasingly popular platform to study … to process scRNA-Seq data are not very accessible to bench scientists as they require a …
… RNA-sequencing (RNA-seq) has become an established … steps accessible to life scientists without extensive knowledge … extent these can indeed facilitate RNA-seq data analysis. We …
K Van den Berge, KM Hembach… - … Data Science, 2019 - annualreviews.org
… First, we discuss alignment and quantification, where RNA-seq reads are placed in the context of the genome or annotation catalogs and the relative expression level of each target is …
L Wang, S Wang, W Li - Bioinformatics, 2012 - academic.oup.com
… and read distribution over the genome structure. RSeQC takes … sequencing (RNA-seq) provides massive and valuable information concerning all transcribed elements in the genome…
… genomes solely based on RNA-Seq. However, until that time, it is imperative that genome annotations be incrementally improved by building on, rather than discarding, previous work. …
… of small RNAs and the integration of RNA-seq with other functional genomics techniques. … community and has become a standard part of the toolkit used by the life sciences research …
U Nagalakshmi, Z Wang, K Waern, C Shou, D Raha… - Science, 2008 - science.org
… Our RNA-Seq method allowed us to map the transcriptional landscape of the yeast genome and define UTRs and previously unknown transcribed regions. In the future, application of …
AS Warren, C Aurrecoechea, B Brunk, P Desai… - …, 2015 - academic.oup.com
… can upload their RNA-Seq data, align them against a genome and generate … science researchers to process and analyze their RNA-Seq data. The site maintains up-to-date genome …