Results 41 to 50 of about 536,139 (245)
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
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
On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments [PDF]
, 2020 Background: In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost
Assefa, Alemu Takele +2 more
core +2 more sources
Whole-transcriptome, high-throughput RNA sequence analysis of the bovine macrophage response to Mycobacterium bovis infection in vitro [PDF]
, 2013 BACKGROUND: Mycobacterium bovis, the causative agent of bovine tuberculosis, is an intracellular pathogen that can persist inside host macrophages during infection via a diverse range of mechanisms that subvert the host immune response.
Browne, JA +13 more
core +2 more sources
Probe Region Expression Estimation for RNA-Seq Data for Improved Microarray Comparability. [PDF]
PLoS ONE, 2015 Rapidly growing public gene expression databases contain a wealth of data for building an unprecedentedly detailed picture of human biology and disease.
Karolis Uziela, Antti Honkela
doaj +1 more source
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
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
NBLDA: Negative Binomial Linear Discriminant Analysis for RNA-Seq Data
, 2015 RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statistical methods that have been developed for microarray data can be applied to
Dong, Kai +3 more
core +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
PLoS ONE, 2019 The wealth of information deliverable from transcriptome sequencing (RNA-seq) is significant, however current applications for variant detection still remain a challenge due to the complexity of the transcriptome.
Modupeore O Adetunji +3 more
doaj +1 more source