Results 41 to 50 of about 591,228 (346)
Advancing transcriptome platforms [PDF]
, 2011 During the last decade of years, remarkable technological innovations have emerged that allow the direct or indirect determination of the transcriptome at unprecedented scale and speed.
Shuobo Shi
core +2 more sources
Toxicology Reports, 2022 Formalin-fixed paraffin-embedded (FFPE) samples are the only remaining biological archive for many toxicological and clinical studies, yet their use in genomics has been limited due to nucleic acid damage from formalin fixation.
Michael D. Cannizzo +3 more
doaj +1 more source
Pharmaceutics, 2016 Studies on gene expression in response to therapy have led to the discovery of pharmacogenomics biomarkers and advances in precision medicine. Whole transcriptome sequencing (RNA-seq) is an emerging tool for profiling gene expression and has received ...
Joshua Xu +5 more
doaj +1 more source
Benchmarking RNA-Seq quantification tools [PDF]
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 RNA-Seq, a deep sequencing technique, promises to be a potential successor to microarrays for studying the transcriptome. One of many aspects of transcriptomics that are of interest to researchers is gene expression estimation. With rapid development in RNA-Seq, there are numerous tools available to estimate gene expression, each producing different ...
Raghu, Chandramohan +3 more
openaire +2 more sources
MSIQ: Joint Modeling of Multiple RNA-seq Samples for Accurate Isoform Quantification
, 2017 Next-generation RNA sequencing (RNA-seq) technology has been widely used to assess full-length RNA isoform abundance in a high-throughput manner. RNA-seq data offer insight into gene expression levels and transcriptome structures, enabling us to better ...
Li, Jingyi Jessica +3 more
core +2 more sources
MINTmap: fast and exhaustive profiling of nuclear and mitochondrial tRNA fragments from short RNA-seq data. [PDF]
, 2017 Transfer RNA fragments (tRFs) are an established class of constitutive regulatory molecules that arise from precursor and mature tRNAs. RNA deep sequencing (RNA-seq) has greatly facilitated the study of tRFs.
Loher, Phillipe +2 more
core +2 more sources
Traditional versus 3′ RNA-seq in a non-model species
Genomics Data, 2017 One limitation of the widely used RNA-seq method is that long transcripts are represented by more reads than shorter transcripts, resulting in a biased estimation of expression levels. The 3′ RNA-seq method, which yields only one sequence per transcript,
Sophie Tandonnet +1 more
doaj +1 more source
RNA‐seq: Basic Bioinformatics Analysis [PDF]
Current Protocols in Molecular Biology, 2018 AbstractQuantitative analysis of gene expression is crucial for understanding the molecular mechanisms underlying genome regulation. RNA‐seq is a powerful platform for comprehensive investigation of the transcriptome. In this unit, we present a general bioinformatics workflow for the quantitative analysis of RNA‐seq data and describe a few current ...
Fei, Ji, Ruslan I, Sadreyev
openaire +2 more sources
NASA GeneLab RNA-Seq Consensus Pipeline: Standardized Processing of Short-Read RNA-Seq Data [PDF]
iScience, 2020 SummaryWith the development of transcriptomic technologies, we are able to quantify precise changes in gene expression profiles from astronauts and other organisms exposed to spaceflight. Members of NASA GeneLab and GeneLab-associated analysis working groups (AWGs) have developed a consensus pipeline for analyzing short-read RNA-sequencing data from ...
Eliah G. Overbey +44 more
openaire +6 more sources
Bioinformatics, 2011 Abstract Summary: RNA-Seq is an exciting methodology that leverages the power of high-throughput sequencing to measure RNA transcript counts at an unprecedented accuracy. However, the data generated from this process are extremely large and biologist-friendly tools with which to analyze it are sorely lacking. MultiExperiment Viewer (MeV)
Howe, Eleanor A. +3 more
openaire +2 more sources