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Hidden treasures in contemporary RNA...
~
Mangul, Serghei.
Hidden treasures in contemporary RNA sequencing
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hidden treasures in contemporary RNA sequencingby Serghei Mangul ... [et al.].
other author:
Mangul, Serghei.
Published:
Cham :Springer International Publishing :2019.
Description:
v, 93 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Nucleotide sequence.
Online resource:
https://doi.org/10.1007/978-3-030-13973-5
ISBN:
9783030139735$q(electronic bk.)
Hidden treasures in contemporary RNA sequencing
Hidden treasures in contemporary RNA sequencing
[electronic resource] /by Serghei Mangul ... [et al.]. - Cham :Springer International Publishing :2019. - v, 93 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
Abstract -- Main Text -- Acknowledgement -- Disclosure -- References.
Advances in RNA-sequencing (RNA-seq) technologies have provided an unprecedented opportunity to explore the gene expression landscape across individuals, tissues, and environments by efficiently profiling the RNA sequences present in the samples. When a reference genome sequence or a transcriptome of the sample is available, mapping-based RNA-seq analysis protocols align the RNA-seq reads to the reference sequences, identify novel transcripts, and quantify the abundance of expressed transcripts. The reads that fail to map to the human reference, known as unmapped reads, are a large and often overlooked output of standard RNA-seq analyses. Even in carefully executed experiments, the unmapped reads can comprise a considerable fraction of the complete set of reads produced, and can arise due to technical sequencing produced by low-quality and error-prone copies of the nascent RNA sequence being sampled. Reads can also remain unmapped due to unknown transcripts, recombined B and T cell receptor sequences, A-to-G mismatches from A-to-I RNA editing, trans-splicing, gene fusion, circular RNAs, and the presence of non-host RNA sequences (e.g. bacterial, fungal, and viral organisms) Unmapped reads represent a rich resource for the study of B and T cell receptor repertoires and the human microbiome system--)without incurring the expense of additional targeted sequencing. This book introduces and describes the Read Origin Protocol (ROP), a tool that identifies the origin of both mapped and unmapped reads. The protocol first identifies human reads using a standard high-throughput algorithm to map them onto a reference genome and transcriptome. After alignment, reads are grouped into genomic (e.g. CDS, UTRs, introns) and repetitive (e.g. SINEs, LINEs, LTRs) categories. The rest of the ROP protocol characterizes the remaining unmapped reads, which failed to map to the human reference sequences.
ISBN: 9783030139735$q(electronic bk.)
Standard No.: 10.1007/978-3-030-13973-5doiSubjects--Topical Terms:
197397
Nucleotide sequence.
LC Class. No.: QP625.N89
Dewey Class. No.: 572.8633
Hidden treasures in contemporary RNA sequencing
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by Serghei Mangul ... [et al.].
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Advances in RNA-sequencing (RNA-seq) technologies have provided an unprecedented opportunity to explore the gene expression landscape across individuals, tissues, and environments by efficiently profiling the RNA sequences present in the samples. When a reference genome sequence or a transcriptome of the sample is available, mapping-based RNA-seq analysis protocols align the RNA-seq reads to the reference sequences, identify novel transcripts, and quantify the abundance of expressed transcripts. The reads that fail to map to the human reference, known as unmapped reads, are a large and often overlooked output of standard RNA-seq analyses. Even in carefully executed experiments, the unmapped reads can comprise a considerable fraction of the complete set of reads produced, and can arise due to technical sequencing produced by low-quality and error-prone copies of the nascent RNA sequence being sampled. Reads can also remain unmapped due to unknown transcripts, recombined B and T cell receptor sequences, A-to-G mismatches from A-to-I RNA editing, trans-splicing, gene fusion, circular RNAs, and the presence of non-host RNA sequences (e.g. bacterial, fungal, and viral organisms) Unmapped reads represent a rich resource for the study of B and T cell receptor repertoires and the human microbiome system--)without incurring the expense of additional targeted sequencing. This book introduces and describes the Read Origin Protocol (ROP), a tool that identifies the origin of both mapped and unmapped reads. The protocol first identifies human reads using a standard high-throughput algorithm to map them onto a reference genome and transcriptome. After alignment, reads are grouped into genomic (e.g. CDS, UTRs, introns) and repetitive (e.g. SINEs, LINEs, LTRs) categories. The rest of the ROP protocol characterizes the remaining unmapped reads, which failed to map to the human reference sequences.
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based on 0 review(s)
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