Results 71 to 80 of about 536,139 (245)
BioengineeringRNA sequencing (RNA-seq) has emerged as a prominent resource for transcriptomic analysis due to its ability to measure gene expression in a highly sensitive and accurate manner.
Farhana Manzoor +2 more
doaj +1 more source
Supersplat—spliced RNA-seq alignment [PDF]
Bioinformatics, 2010 Abstract Motivation: High-throughput sequencing technologies have recently made deep interrogation of expressed transcript sequences practical, both economically and temporally. Identification of intron/exon boundaries is an essential part of genome annotation, yet remains a challenge.
Rongkun Shen +4 more
openaire +3 more sources
Correspondence of D. melanogaster and C. elegans developmental stages revealed by alternative splicing characteristics of conserved exons [PDF]
, 2017 Illustration of RNA-seq datasets. Illustration of RNA-seq datasets of fly and worm from modEncode.
Jingyi Jessica Li, Ruiqi Gao
core +8 more sources
Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq
Cancer Medicine, 2019 Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype.
Qianqian Song +19 more
doaj +1 more source
Genome Biology, 2023 Existing single-cell RNA sequencing (scRNA-seq) methods rely on reverse transcription (RT) and second-strand synthesis (SSS) to convert single-stranded RNA into double-stranded DNA prior to amplification, with the limited RT/SSS efficiency compromising ...
Jun Lyu, Chongyi Chen
doaj +1 more source
Development and evaluation of RNA-seq methods [PDF]
Genome Biology, 2010 This article is part of the supplement: Beyond the Genome: The true gene count, human evolution and disease ...
Nir Friedman +11 more
openaire +4 more sources
Models for transcript quantification from RNA-Seq [PDF]
, 2011 RNA-Seq is rapidly becoming the standard technology for transcriptome analysis. Fundamental to many of the applications of RNA-Seq is the quantification problem, which is the accurate measurement of relative transcript abundances from the sequenced reads.
Pachter, Lior
core
Parallel comparison of Illumina RNA-Seq and Affymetrix microarray platforms on transcriptomic profiles generated from 5-aza-deoxy-cytidine treated HT-29 colon cancer cells and simulated datasets [PDF]
, 2013 BACKGROUND: High throughput parallel sequencing, RNA-Seq, has recently emerged as an appealing alternative to microarray in identifying differentially expressed genes (DEG) between biological groups.
Antoniou, E. +9 more
core +2 more sources
Evaluation and application of RNA-Seq by MinION [PDF]
DNA Research, 2018 The current RNA-Seq method analyses fragments of mRNAs, from which it is occasionally difficult to reconstruct the entire transcript structure. Here, we performed and evaluated the recent procedure for full-length cDNA sequencing using the Nanopore sequencer MinION.
Martin C. Frith +13 more
openaire +3 more sources
Comparative analysis of RNA-Seq alignment algorithms and the RNA-Seq unified mapper (RUM) [PDF]
Bioinformatics, 2011 Abstract Motivation: A critical task in high-throughput sequencing is aligning millions of short reads to a reference genome. Alignment is especially complicated for RNA sequencing (RNA-Seq) because of RNA splicing. A number of RNA-Seq algorithms are available, and claim to align reads with high accuracy and efficiency while detecting ...
John B. Hogenesch +8 more
openaire +3 more sources