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2021
RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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Nature Biotechnology, 2011
A transcriptome can be readily assembled from RNA-Seq data in the absence of a reference genome.
Matthew K. Iyer, Arul M. Chinnaiyan
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A transcriptome can be readily assembled from RNA-Seq data in the absence of a reference genome.
Matthew K. Iyer, Arul M. Chinnaiyan
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RNA-Seq in the Collaborative Cross
2016The Collaborative Cross (CC) is a large panel of inbred mouse strains currently being developed for multiple areas of research. Scientists are taking integrated omics-style approaches to collecting data in order to obtain a deeper understanding of the biological mechanisms underlying a number of diverse disease phenotypes.
Martin T. Ferris +3 more
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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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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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Computational Analysis of RNA-seq
2012Using 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.
William G. Spollen +2 more
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Transcriptome Sequencing: RNA-Seq
2018RNA 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
2016RNA-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 Frankhouser +16 more
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Transcriptomics in the RNA-seq era
Current Opinion in Chemical Biology, 2013The 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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Analysis RNA-seq and Noncoding RNA
2016RNA-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 +6 more
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