Results 21 to 30 of about 536,139 (245)

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, Ashar, Foram N, Bader, Joel S, Ellis, Shannon E, Gupta, Simone, West, Andrew B   +5 more
core   +2 more sources

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

Frontiers 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, Jian Zeng, Juntao Zhang, Guozhi Fan, Guangsen Song   +4 more
doaj   +1 more source

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, Ivan O. Rosas, Sarah G. Chu, Benjamin A. Raby, Benjamin A. Raby   +4 more
openaire   +3 more sources

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, A Choudhury, A Hidalgo, A Rosenwald, AS Kamiguti, C Haslinger, C Soo, C Trapnell, C Trapnell, CJ David, DC Gilby, E Moon, E Moravcikova, F Colotta, F Talab, FC Kelleher, Gwen Jordaan, H Dohner, H Jiang, J Eswaran, J Vilpo, JC Marioni, JJ Dongen van, JP Venables, K Inada, K Zen, L Chen, L Wang, L Yang, LQ Zhang, M Crespo, M Rehli, M Shinohara, M Sultan, Matteo Pelegrini, ML Hermiston, MW Pfaffl, N Chiorazzi, NA Twine, O Bermudez, P Guglielmi, P Kapranov, PG Ferreira, Phillipp Nham, Q Huang, RA Higgins, RI Fernando, RK Gandhirajan, RN Damle, Ryan T. Phan, S Anders, S Courtois, S Decker, S Falt, S Ibrahim, S Liu, S Ma, S Ren, S Shen, Sanjai Sharma, SM Russell, SP Shah, SR Gunn, T Ormsby, TJ Hamblin, U Klein, V Quesada, Wei Liao, XS Puente, Y Pawitan, Y Pekarsky, Y Yu, Z Wang   +72 more
core   +1 more source

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, Luz Marina Melgarejo-Muñoz, Hernán Mauricio Romero   +2 more
doaj   +1 more source

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, Amin Espah Borujeni, Yongjin Park, Alec AK Nielsen, Jing Zhang, Bryan S Der, D Benjamin Gordon, Christopher A Voigt   +7 more
doaj   +1 more source

intePareto: an R package for integrative analyses of RNA-Seq and ChIP-Seq data

BMC Genomics, 2020
Background RNA-Seq, the high-throughput sequencing (HT-Seq) of mRNAs, has become an essential tool for characterizing gene expression differences between different cell types and conditions.
Yingying Cao, Simo Kitanovski, Daniel Hoffmann   +2 more
doaj   +1 more source

Uncovering the Complexity of Transcriptomes with RNA-Seq [PDF]

Journal of Biomedicine and Biotechnology, 2010
In recent years, the introduction of massively parallel sequencing platforms for Next Generation Sequencing (NGS) protocols, able to simultaneously sequence hundred thousand DNA fragments, dramatically changed the landscape of the genetics studies.
Costa V, Angelini C, De Feis I, Ciccodicola A   +3 more
openaire   +5 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, Cooper, John A, Mitra, Robi D, Onken, Michael D, Qi, Zongtai, Yen, Matthew   +5 more
core   +4 more sources