Results 21 to 30 of about 38,805 (217)
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 +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 ...
Sarah G. Chu +3 more
openaire +2 more sources
Bioinformatics, 2011 Abstract Summary: RNA-Seq is an exciting methodology that leverages the power of high-throughput sequencing to measure RNA transcript counts at an unprecedented accuracy. However, the data generated from this process are extremely large and biologist-friendly tools with which to analyze it are sorely lacking. MultiExperiment Viewer (MeV)
Eleanor Howe +3 more
openaire +2 more sources
RNA-Seq: revelation of the messengers [PDF]
Trends in Plant Science, 2013 Next-generation RNA-sequencing (RNA-Seq) is rapidly outcompeting microarrays as the technology of choice for whole-transcriptome studies. However, the bioinformatics skills required for RNA-Seq data analysis often pose a significant hurdle for many biologists.
Van Verk +6 more
openaire +4 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
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
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
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Genome Biology, 2019 Single-cell RNA-seq data contain a large proportion of zeros for expressed genes. Such dropout events present a fundamental challenge for various types of data analyses. Here, we describe the SCRABBLE algorithm to address this problem. SCRABBLE leverages
Tao Peng, Qin Zhu, Penghang Yin, Kai Tan
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 +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 +3 more
openaire +4 more sources