AdapterRemoval v2: rapid adapter trimming, identification, and read merging
University of Copenhagen · Natural History Museum Aarhus · +4 more institutions
Abstract
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.
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.
Citation impact
- FWCI
- 43.87
- Percentile
- 100%
- References
- 18
Authors
3- MSMikkel SchubertCorresponding
University of Copenhagen, Natural History Museum Aarhus
- SLStinus Lindgreen
University of Copenhagen, Carlsberg Laboratory
- LOLudovic Orlando
University of Copenhagen, Centre National de la Recherche Scientifique, Université Toulouse III - Paul Sabatier, Université Fédérale de Toulouse Midi-Pyrénées, Natural History Museum Aarhus
Topics & keywords
- Adapter (computing)
- Trimming
- Computer science
- Multiplexing
- Throughput
- Parallel computing
- Computer hardware
- Operating system