Authors:
- Focuses on revealing the features hidden in unmapped reads, which traditional RNA-sequencing research commonly regards as uninformative
- Highlights how a comprehensive search for the origin of unmapped reads can reveal characteristics about the sample’s immune repertoire
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (1 chapter)
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Front Matter
About this book
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 Band 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.
Authors and Affiliations
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Department of Computer Science, Institute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, USA
Serghei Mangul
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Department of Computer Science, University of California Los Angeles, Los Angeles, USA
Harry Taegyun Yang
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Department of Computer Science, Department of Human Genetics, University of California Los Angeles, Los Angeles, USA
Eleazar Eskin
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Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, USA
Noah Zaitlen
About the authors
Dr. Serghei Mangul is a Postdoctoral Fellow at the University of California, Los Angeles, where he holds a Collaboratory Fellowship from the Institute for Quantitative and Computational Biosciences.
Bibliographic Information
Book Title: Hidden Treasures in Contemporary RNA Sequencing
Authors: Serghei Mangul, Harry Taegyun Yang, Eleazar Eskin, Noah Zaitlen
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-030-13973-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-13972-8Published: 13 March 2019
eBook ISBN: 978-3-030-13973-5Published: 01 March 2019
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: V, 93
Number of Illustrations: 1 b/w illustrations, 48 illustrations in colour
Topics: Computational Biology/Bioinformatics, Bioinformatics, Genetics and Genomics