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Copy file name to clipboardexpand all lines: README.md
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If you use SeqLib in your applications, please cite: http://bioinformatics.oxfordjournals.org/content/early/2016/12/21/bioinformatics.btw741.full.pdf+html
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Note that the values for the SeqAn benchmarking in Table 2 should be corrected to 7.7 Gb memory and 33.92 seconds in CPU time, when compiling SeqAn with ``-O3 -DNDEBUG``. SeqAn also does full string decompression.
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Wall times for SeqAn may be shorter than CPU time because it uses embedded multi-threading during BAM IO.
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Table of contents
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=================
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Some differences:
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* SeqLib has ~2-4x faster read/write speed over BamTools and SeqAn, and lower memory footprint.
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* SeqLib has support for CRAM file
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* SeqLib provides in memory access to BWA-MEM, BLAT, a chromosome aware interval tree and range operations, and to read correction and sequence assembly with Fermi. BamTools has more support currently for network access.
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* SeqAn provide a substantial amount of additional capabilites not in SeqLib, including graph operations and a more expanded suite of multi-sequence alignments.
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* SeqLib provides in memory access to BWA-MEM, BLAT, chromosome aware interval tree, read correction, and sequence assembly with Fermi.
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* SeqAn provide a substantial amount of additional capabilites not in SeqLib, including graph operations and an expanded suite of multi-sequence alignments.
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* SeqAn embeds multi-threading into some functionality like BAM IO to improve wall times.
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For your particular application, our hope is that SeqLib will provide a comprehensive and powerful envrionment to develop
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bioinformatics tools. Feature requests and comments are welcomed.
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bioinformatics tools, or to be used in conjuction with the capablities in SeqAn and BamTools. Feature requests and comments are welcomed.
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