Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens. [PDF]
, 2015 BackgroundTo determine differentially expressed and spliced RNA transcripts in chronic lymphocytic leukemia specimens a high throughput RNA-sequencing (HTS RNA-seq) analysis was performed.MethodsTen CLL specimens and five normal peripheral blood CD19+ B ...
A Ameur +72 more
core +1 more source
PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]
, 2019 Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs.
Deshpande, Sumukh +4 more
core +4 more sources
An RNA-seq primer for pulmonologists [PDF]
European Respiratory Journal, 2019 With the evolution of high throughput sequencing technologies, the past decade has seen an exponential rise in the use of RNA sequencing (RNA-seq). RNA-seq has deepened our understanding of biological systems to unprecedented levels of resolution, identifying not only gene expression signatures but also regulatory RNA molecules that may play critical ...
Sergio Poli De Frias +4 more
openaire +3 more sources
RNA-SEQ: A GLANCE AT TECHNOLOGIES AND METHODOLOGIES
Acta Biológica Colombiana, 2015 RNA Sequencing (RNA-Seq) is a newly born tool that has revolutionized the post-genomic era. The data produced by RNA-Seq, sequencing technologies and use of bioinformatics are exploding rapidly.
Seyed Mehdi Jazayeri +2 more
doaj +1 more source
RNA-seq transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis [PDF]
, 2014 Bovine tuberculosis, caused by infection with Mycobacterium bovis, is a major endemic disease affecting cattle populations worldwide, despite the implementation of stringent surveillance and control programs in many countries.
Browne, JA +12 more
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The Comparison between Bulk RNA-seq and Ssingle-cell RNA-seq [PDF]
Journal of Physics: Conference Series, 2021 Abstract Bulk RNA-seq and single cell RNA-seq (Sc-RNA) seq are two well-known methods and are broadly used in biology areas. Even though the two ways are all starting from the mRNA level to do the transcriptional analysis, many differences still show in them, but the differences which are critical for researchers to judge and consider ...
openaire +1 more source
Genetic circuit characterization and debugging using RNA‐seq
Molecular Systems Biology, 2017 Genetic circuits implement computational operations within a cell. Debugging them is difficult because their function is defined by multiple states (e.g., combinations of inputs) that vary in time.
Thomas E Gorochowski +7 more
doaj +1 more source
Deep RNA-Seq profile reveals biodiversity, plant-microbe interactions and a large family of NBS-LRR resistance genes in walnut (Juglans regia) tissues. [PDF]
, 2016 Deep RNA-Seq profiling, a revolutionary method used for quantifying transcriptional levels, often includes non-specific transcripts from other co-existing organisms in spite of stringent protocols. Using the recently published walnut genome sequence as a
Britton, Monica +3 more
core +2 more sources
Long read isoform sequencing reveals hidden transcriptional complexity between cattle subspecies
BMC Genomics, 2023 The Iso-Seq method of full-length cDNA sequencing is suitable to quantify differentially expressed genes (DEGs), transcripts (DETs) and transcript usage (DTU).
Yan Ren +5 more
doaj +1 more source
RNA-Seq optimization with eQTL gold standards. [PDF]
, 2013 BackgroundRNA-Sequencing (RNA-Seq) experiments have been optimized for library preparation, mapping, and gene expression estimation. These methods, however, have revealed weaknesses in the next stages of analysis of differential expression, with results ...
Arking, Dan E +5 more
core +2 more sources