Fast and accurate alignment of barcoded reads

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.

Bibliographic Details
Main Author: Shajii, Ariya (Ariya Reza)
Other Authors: Bonnie Berger.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/118040
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author Shajii, Ariya (Ariya Reza)
author2 Bonnie Berger.
author_facet Bonnie Berger.
Shajii, Ariya (Ariya Reza)
author_sort Shajii, Ariya (Ariya Reza)
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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spelling mit-1721.1/1180402022-07-19T13:50:03Z Fast and accurate alignment of barcoded reads Shajii, Ariya (Ariya Reza) Bonnie Berger. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 57-62). Over the last few years, we have seen the emergence of several so-called "third-generation" sequencing platforms, which improve on standard short-read sequencing that has thus far been at the center of next-generation sequencing. While technologies developed by Pacific Biosciences and Oxford Nanopore accomplish this goal by producing physically longer reads, several other technologies take an alternate route by instead producing "barcoded reads", including 10x Genomics' Chromium platform and Illumina's TruSeq Synthetic Long-Read platform. With barcoded reads, long-range information is captured by the barcodes, which identify source DNA fragments. As with all sequencing data, alignment of barcoded reads is the first step in nearly all analyses, and therefore plays a central role. Here, we design and validate improved alignment algorithms for barcoded sequencing data, which enable improved downstream analyses like phasing and genotyping, and additionally uncover variants in regions containing nearby homologous elements that go undetected by other methods. by Ariya Shajii. S.M. 2018-09-17T15:54:56Z 2018-09-17T15:54:56Z 2018 2018 Thesis http://hdl.handle.net/1721.1/118040 1051459088 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 62 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Shajii, Ariya (Ariya Reza)
Fast and accurate alignment of barcoded reads
title Fast and accurate alignment of barcoded reads
title_full Fast and accurate alignment of barcoded reads
title_fullStr Fast and accurate alignment of barcoded reads
title_full_unstemmed Fast and accurate alignment of barcoded reads
title_short Fast and accurate alignment of barcoded reads
title_sort fast and accurate alignment of barcoded reads
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/118040
work_keys_str_mv AT shajiiariyaariyareza fastandaccuratealignmentofbarcodedreads