AdapterRemoval v2: rapid adapter trimming, identification, and read merging

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Standard

AdapterRemoval v2 : rapid adapter trimming, identification, and read merging. / Schubert, Mikkel; Lindgreen, Stinus; Orlando, Ludovic Antoine Alexandre.

I: BMC Research Notes, Bind 9, 88, 2016.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Schubert, M, Lindgreen, S & Orlando, LAA 2016, 'AdapterRemoval v2: rapid adapter trimming, identification, and read merging', BMC Research Notes, bind 9, 88. https://doi.org/10.1186/s13104-016-1900-2

APA

Schubert, M., Lindgreen, S., & Orlando, L. A. A. (2016). AdapterRemoval v2: rapid adapter trimming, identification, and read merging. BMC Research Notes, 9, [88]. https://doi.org/10.1186/s13104-016-1900-2

Vancouver

Schubert M, Lindgreen S, Orlando LAA. AdapterRemoval v2: rapid adapter trimming, identification, and read merging. BMC Research Notes. 2016;9. 88. https://doi.org/10.1186/s13104-016-1900-2

Author

Schubert, Mikkel ; Lindgreen, Stinus ; Orlando, Ludovic Antoine Alexandre. / AdapterRemoval v2 : rapid adapter trimming, identification, and read merging. I: BMC Research Notes. 2016 ; Bind 9.

Bibtex

@article{e3aa49fa526845dcb0b159f04002847b,
title = "AdapterRemoval v2: rapid adapter trimming, identification, and read merging",
abstract = "BACKGROUND: As high-throughput sequencing platforms produce longer and longer reads, sequences generated from short inserts, such as those obtained from fossil and degraded material, are increasingly expected to contain adapter sequences. Efficient adapter trimming algorithms are also needed to process the growing amount of data generated per sequencing run.FINDINGS: We introduce AdapterRemoval v2, a major revision of AdapterRemoval v1, which introduces (i) striking improvements in throughput, through the use of single instruction, multiple data (SIMD; SSE1 and SSE2) instructions and multi-threading support, (ii) the ability to handle datasets containing reads or read-pairs with different adapters or adapter pairs, (iii) simultaneous demultiplexing and adapter trimming, (iv) the ability to reconstruct adapter sequences from paired-end reads for poorly documented data sets, and (v) native gzip and bzip2 support.CONCLUSIONS: We show that AdapterRemoval v2 compares favorably with existing tools, while offering superior throughput to most alternatives examined here, both for single and multi-threaded operations.",
author = "Mikkel Schubert and Stinus Lindgreen and Orlando, {Ludovic Antoine Alexandre}",
year = "2016",
doi = "10.1186/s13104-016-1900-2",
language = "English",
volume = "9",
journal = "BMC Research Notes",
issn = "1756-0500",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - AdapterRemoval v2

T2 - rapid adapter trimming, identification, and read merging

AU - Schubert, Mikkel

AU - Lindgreen, Stinus

AU - Orlando, Ludovic Antoine Alexandre

PY - 2016

Y1 - 2016

N2 - BACKGROUND: As high-throughput sequencing platforms produce longer and longer reads, sequences generated from short inserts, such as those obtained from fossil and degraded material, are increasingly expected to contain adapter sequences. Efficient adapter trimming algorithms are also needed to process the growing amount of data generated per sequencing run.FINDINGS: We introduce AdapterRemoval v2, a major revision of AdapterRemoval v1, which introduces (i) striking improvements in throughput, through the use of single instruction, multiple data (SIMD; SSE1 and SSE2) instructions and multi-threading support, (ii) the ability to handle datasets containing reads or read-pairs with different adapters or adapter pairs, (iii) simultaneous demultiplexing and adapter trimming, (iv) the ability to reconstruct adapter sequences from paired-end reads for poorly documented data sets, and (v) native gzip and bzip2 support.CONCLUSIONS: We show that AdapterRemoval v2 compares favorably with existing tools, while offering superior throughput to most alternatives examined here, both for single and multi-threaded operations.

AB - BACKGROUND: As high-throughput sequencing platforms produce longer and longer reads, sequences generated from short inserts, such as those obtained from fossil and degraded material, are increasingly expected to contain adapter sequences. Efficient adapter trimming algorithms are also needed to process the growing amount of data generated per sequencing run.FINDINGS: We introduce AdapterRemoval v2, a major revision of AdapterRemoval v1, which introduces (i) striking improvements in throughput, through the use of single instruction, multiple data (SIMD; SSE1 and SSE2) instructions and multi-threading support, (ii) the ability to handle datasets containing reads or read-pairs with different adapters or adapter pairs, (iii) simultaneous demultiplexing and adapter trimming, (iv) the ability to reconstruct adapter sequences from paired-end reads for poorly documented data sets, and (v) native gzip and bzip2 support.CONCLUSIONS: We show that AdapterRemoval v2 compares favorably with existing tools, while offering superior throughput to most alternatives examined here, both for single and multi-threaded operations.

U2 - 10.1186/s13104-016-1900-2

DO - 10.1186/s13104-016-1900-2

M3 - Journal article

C2 - 26868221

VL - 9

JO - BMC Research Notes

JF - BMC Research Notes

SN - 1756-0500

M1 - 88

ER -

ID: 160577276