about
Single-cell Transcriptome Study as Big DataLW-FQZip 2: a parallelized reference-based compression of FASTQ files.AFRESh: an adaptive framework for compression of reads and assembled sequences with random access functionality.ARSDA: A New Approach for Storing, Transmitting and Analyzing Transcriptomic Data.GTZ: a fast compression and cloud transmission tool optimized for FASTQ files.The Biological Object Notation (BON): a structured file format for biological data.
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description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
@zh-hant
2015年論文
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2015年論文
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2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
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name
LFQC: a lossless compression algorithm for FASTQ files.
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LFQC: a lossless compression algorithm for FASTQ files.
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type
label
LFQC: a lossless compression algorithm for FASTQ files.
@en
LFQC: a lossless compression algorithm for FASTQ files.
@nl
prefLabel
LFQC: a lossless compression algorithm for FASTQ files.
@en
LFQC: a lossless compression algorithm for FASTQ files.
@nl
P2093
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P1433
P1476
LFQC: a lossless compression algorithm for FASTQ files.
@en
P2093
Marius Nicolae
Sanguthevar Rajasekaran
Sudipta Pathak
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P304
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10.1093/BIOINFORMATICS/BTV384
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2015-06-20T00:00:00Z