Results 41 to 50 of about 567,059 (348)
RNA-seq: from technology to biology [PDF]
Cellular and Molecular Life Sciences, 2009 Next-generation sequencing technologies are now being exploited not only to analyse static genomes, but also dynamic transcriptomes in an approach termed RNA-seq. Although these powerful and rapidly evolving technologies have only been available for a couple of years, they are already making substantial contributions to our understanding of genome ...
Marguerat, S, Bähler, J
openaire +4 more sources
Prime-seq, efficient and powerful bulk RNA sequencing
Genome Biology, 2022 Cost-efficient library generation by early barcoding has been central in propelling single-cell RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA-seq method.
Aleksandar Janjic +11 more
doaj +1 more source
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
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
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
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
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
A benchmark for RNA-seq quantification pipelines [PDF]
Genome Biology, 2016 Obtaining RNA-seq measurements involves a complex data analytical process with a large number of competing algorithms as options. There is much debate about which of these methods provides the best approach. Unfortunately, it is currently difficult to evaluate their performance due in part to a lack of sensitive assessment metrics.
Michael I. Love +14 more
openaire +4 more sources
Transposase mapping identifies the genomic targets of BAP1 in uveal melanoma [PDF]
, 2018 Table summarizing the RNA-seq results. Differential gene expression results in BAP1-knockdown compared to control OCM-1A cells are shown from the RNA-seq data.
Chen, Xuhua +5 more
core +4 more sources
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source