Results 121 to 130 of about 169 (167)

Computational Analysis of RNA-seq

2012
Using High-Throughput DNA Sequencing (HTS) to examine gene expression is rapidly becoming a -viable choice and is typically referred to as RNA-seq. Often the depth and breadth of coverage of RNA-seq data can exceed what is achievable using microarrays. However, the strengths of RNA-seq are often its greatest weaknesses.
Scott A, Givan, Christopher A, Bottoms, William G, Spollen   +2 more
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RNA-seq in Skeletal Biology

Current Osteoporosis Reports, 2019
The goal of this paper is to review state-of-the-art transcriptome profiling methods and their recent applications in the field of skeletal biology.Next-generation sequencing of mRNA (RNA-seq) methods have been established and routinely used in skeletal biology research.
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Transcriptome Sequencing: RNA-Seq

2018
RNA sequencing (RNA-seq) can not only be used to identify the expression of common or rare transcripts but also in the identification of other abnormal events, such as alternative splicing, novel transcripts, and fusion genes. In principle, RNA-seq can be carried out by almost all of the next-generation sequencing (NGS) platforms, but the libraries of ...
Hong, Zhang, Lin, He, Lei, Cai
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Complete Transcriptome RNA-Seq

2016
RNA-Seq is the leading technology for analyzing gene expression on a global scale across a broad spectrum of sample types. However, due to chemical modifications by fixation or degradation due to collection methods, samples often contain an abundance of RNA that is no longer intact, and the capability of current RNA-Seq protocols to accurately quantify
David F B, Miller, Pearlly, Yan, Fang, Fang, Aaron, Buechlein, Karl, Kroll, David, Frankhouser, Cameron, Stump, Paige, Stump, James B, Ford, Haixu, Tang, Scott, Michaels, Daniela, Matei, Tim H, Huang, Jeremy, Chien, Yunlong, Liu, Douglas B, Rusch, Kenneth P, Nephew   +16 more
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Transcriptomics in the RNA-seq era

Current Opinion in Chemical Biology, 2013
The transcriptomics field has developed rapidly with the advent of next-generation sequencing technologies. RNA-seq has now displaced microarrays as the preferred method for gene expression profiling. The comprehensive nature of the data generated has been a boon in terms of transcript identification but analysis challenges remain.
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RNA-Seq Data Analysis

RNA-Seq data analysis stands as a vital part of genomics research, turning vast and complex datasets into meaningful biological insights. It is a field marked by rapid evolution and ongoing innovation, necessitating a thorough understanding for anyone seeking to unlock the potential of RNA-Seq data.
James, Li, Rency S, Varghese, Habtom W, Ressom   +2 more
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Analysis RNA-seq and Noncoding RNA

2016
RNA-Seq is an approach to transcriptome profiling that uses deep-sequencing technologies to detect and accurately quantify RNA molecules originating from a genome at a given moment in time. In recent years, the advent of RNA-Seq has facilitated genome-wide expression profiling, including the identification of novel and rare transcripts like noncoding ...
A. Arrigoni, V. Ranzani, G. Rossetti, I. Panzeri, S. Abrignani, R. J. P. Bonnal, M. Pagani   +6 more
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RNA‐Seq Read Alignments with PALMapper

Current Protocols in Bioinformatics, 2010
AbstractNext‐generation sequencing technologies have revolutionized genome and transcriptome sequencing. RNA‐Seq experiments are able to generate huge amounts of transcriptome sequence reads at a fraction of the cost of Sanger sequencing. Reads produced by these technologies are relatively short and error prone.
Jean, Géraldine, Kahles, André, Sreedharan, Vipin T, de Bona, Fabio, Rätsch, Gunnar   +4 more
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Short-Read RNA-Seq

RNA sequencing (RNA-Seq) has emerged as a powerful and versatile tool for the comprehensive analysis of transcriptomes and has been widely used to investigate gene expression, copy number variation, alternative splicing, and novel transcript discovery. This chapter outlines the methodology for conducting short-read RNA-Seq, starting from RNA enrichment
Rong, Hu, Md N, Islam, Rency S, Varghese, Habtom W, Ressom   +3 more
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keratinocytes RNA-seq

2022
For transcriptome sequencing of human HaCaT keratinocytes, after transfection with LNA (Ctr/Gap-1) in keratinocytes for 48h, cells were digested and collected, and then sent to the company for sequencing.
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