Results 21 to 30 of about 588,819 (199)

A map of bat virus receptors derived from single-cell multiomics

open access: yesScientific Data, 2022
Measurement(s) RNA-seq gene expression profiling assay • ATAC-Seq Technology Type(s) RNA-seq of coding RNA from single cells • Single cell ATAC-seq (cell index) Sample Characteristic - Organism Rhinolophus ...
Tianhang Lv   +18 more
doaj   +1 more source

Unleashing the power within short-read RNA-seq for plant research: Beyond differential expression analysis and toward regulomics

open access: yesFrontiers in Plant Science, 2022
RNA-seq has become a state-of-the-art technique for transcriptomic studies. Advances in both RNA-seq techniques and the corresponding analysis tools and pipelines have unprecedently shaped our understanding in almost every aspects of plant sciences ...
Min Tu   +4 more
doaj   +1 more source

PANDORA-Seq unveils the hidden small noncoding RNA landscape in atherosclerosis of LDL receptor-deficient mice

open access: yesJournal of Lipid Research, 2023
Small noncoding RNAs (sncRNAs) play diverse roles in numerous biological processes. While the widely used RNA sequencing (RNA-Seq) method has advanced sncRNA discovery, RNA modifications can interfere with the complementary DNA library construction ...
Rebecca Hernandez   +8 more
doaj   +1 more source

Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens. [PDF]

open access: yes, 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]

open access: yes, 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

RNA-Seq optimization with eQTL gold standards. [PDF]

open access: yes, 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

RNA-SEQ: A GLANCE AT TECHNOLOGIES AND METHODOLOGIES

open access: yesActa 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

Long read isoform sequencing reveals hidden transcriptional complexity between cattle subspecies

open access: yesBMC 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

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments [PDF]

open access: yes, 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

Genetic circuit characterization and debugging using RNA‐seq

open access: yesMolecular 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

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