Results 301 to 310 of about 591,228 (346)

RNA-seq

2023
We try to establish a standardized practices for RNA diagnostics using clinically accessible whole blood, we evaluated the two protocols (ribo-minus and the modified polyA+) by comparing the expression profiles and alternative splicing events of OMIM genes in clinical settings where RNA samples were collected primarily from patients whose whole genome ...
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RNA-Seq unleashed

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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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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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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RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis

2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015
In this work is presented a process of design and building of a software that gather the tools required for a RNA-Seq data bioinformatics research. From the proposed a workflow is proposed that represents all a process that goes through the main stages of the treatment of transcriptomic and next generation sequencing data, such as preprocessing ...
Miguel Ramirez, Cristian Alejandro Rojas-Quintero, Nelson Enrique Vera-Parra   +2 more
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RNA-Seq in Nonmodel Organisms

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 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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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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