Results 21 to 30 of about 345,547 (215)
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
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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 ...
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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
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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
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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
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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
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Improving RNA-Seq Precision with MapAl [PDF]
Frontiers in Genetics, 2012 With currently available RNA-Seq pipelines, expression estimates for most genes are very noisy. We here introduce MapAl, a tool for RNA-Seq expression profiling that builds on the established programs Bowtie and Cufflinks. In the post-processing of RNA-Seq reads, it incorporates gene models already at the stage of read alignment, increasing the number ...
Paweł P Łabaj +4 more
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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
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Computational methods for differentially expressed gene analysis from RNA-Seq: an overview [PDF]
arXiv, 2021 The analysis of differential gene expression from RNA-Seq data has become a standard for several research areas mainly involving bioinformatics. The steps for the computational analysis of these data include many data types and file formats, and a wide variety of computational tools that can be applied alone or together as pipelines.
arxiv
Frontiers in Bioinformatics, 2023 Introduction: The application of RNA-sequencing has led to numerous breakthroughs related to investigating gene expression levels in complex biological systems.
Ryan S. McClure +4 more
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