Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler

10.1186/s12864-016-3030-6

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Main Authors: Shepard, S.S, Meno, S, Bahl, J, Wilson, M.M, Barnes, J, Neuhaus, E
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/181343
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spelling sg-nus-scholar.10635-1813432023-10-31T20:55:51Z Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler Shepard, S.S Meno, S Bahl, J Wilson, M.M Barnes, J Neuhaus, E DUKE-NUS MEDICAL SCHOOL Article controlled study deep sequencing Ebolavirus gene sequence genetic variability high throughput sequencing Influenza virus next generation sequencing nonhuman software virus assembly virus genome algorithm biology DNA sequence genetics human procedures sequence analysis software virus Algorithms Computational Biology Genome, Viral High-Throughput Nucleotide Sequencing Humans Sequence Analysis, DNA Sequence Analysis, RNA Software Viruses 10.1186/s12864-016-3030-6 BMC Genomics 17 1 708 2020-10-27T10:38:06Z 2020-10-27T10:38:06Z 2016 Article Shepard, S.S, Meno, S, Bahl, J, Wilson, M.M, Barnes, J, Neuhaus, E (2016). Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler. BMC Genomics 17 (1) : 708. ScholarBank@NUS Repository. https://doi.org/10.1186/s12864-016-3030-6 14712164 https://scholarbank.nus.edu.sg/handle/10635/181343 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Article
controlled study
deep sequencing
Ebolavirus
gene sequence
genetic variability
high throughput sequencing
Influenza virus
next generation sequencing
nonhuman
software
virus assembly
virus genome
algorithm
biology
DNA sequence
genetics
human
procedures
sequence analysis
software
virus
Algorithms
Computational Biology
Genome, Viral
High-Throughput Nucleotide Sequencing
Humans
Sequence Analysis, DNA
Sequence Analysis, RNA
Software
Viruses
spellingShingle Article
controlled study
deep sequencing
Ebolavirus
gene sequence
genetic variability
high throughput sequencing
Influenza virus
next generation sequencing
nonhuman
software
virus assembly
virus genome
algorithm
biology
DNA sequence
genetics
human
procedures
sequence analysis
software
virus
Algorithms
Computational Biology
Genome, Viral
High-Throughput Nucleotide Sequencing
Humans
Sequence Analysis, DNA
Sequence Analysis, RNA
Software
Viruses
Shepard, S.S
Meno, S
Bahl, J
Wilson, M.M
Barnes, J
Neuhaus, E
Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
description 10.1186/s12864-016-3030-6
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Shepard, S.S
Meno, S
Bahl, J
Wilson, M.M
Barnes, J
Neuhaus, E
format Article
author Shepard, S.S
Meno, S
Bahl, J
Wilson, M.M
Barnes, J
Neuhaus, E
author_sort Shepard, S.S
title Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
title_short Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
title_full Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
title_fullStr Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
title_full_unstemmed Viral deep sequencing needs an adaptive approach: IRMA, the iterative refinement meta-assembler
title_sort viral deep sequencing needs an adaptive approach: irma, the iterative refinement meta-assembler
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/181343
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