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Mahoko Ueda Takahashi

dblp:181/1365 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-3960-0922ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genomic data compression
genome compression
0.412019
Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequences · Bioinform. 2019
Bioinformatics and computational biology › sequence analysis
sequence compression
0.412019
Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequences · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

lossless compression · 0.4entropy coding · 0.4
YearPublicationVenuePosition
2019 Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequences
abstract
SUMMARY: DNA sequence databases use compression such as gzip to reduce the required storage space and network transmission time. We describe Nucleotide Archival Format (NAF)-a new file format for lossless reference-free compression of FASTA and FASTQ-formatted nucleotide sequences. Nucleotide Archival Format compression ratio is comparable to the best DNA compressors, while providing dramatically faster decompression. We compared our format with DNA compressors: DELIMINATE and MFCompress, and with general purpose compressors: gzip, bzip2, xz, brotli and zstd. AVAILABILITY AND IMPLEMENTATION: NAF compressor and decompressor, as well as format specification are available at https://github.com/KirillKryukov/naf. Format specification is in public domain. Compressor and decompressor are open source under the zlib/libpng license, free for nearly any use. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Kirill Kryukov, Mahoko Ueda Takahashi, So Nakagawa, Tadashi Imanishi
Bioinform.2