EDBT 2026 Demo / reviewers in the wild / expert
So Nakagawa
dblp:75/11017
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-1760-3839ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › genomic data compression
genome compression |
0.4 | 1 | 2019 | Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequences · Bioinform. 2019 |
Bioinformatics and computational biology › sequence analysis
sequence compression |
0.4 | 1 | 2019 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Nucleotide Archival Format (NAF) enables efficient lossless reference-free compression of DNA sequencesabstractSUMMARY: 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. | 3 |
| 2009 | Structure of Protein Interaction Networks and Their Implications on Drug DesignabstractProtein-protein interaction networks (PINs) are rich sources of information that enable the network properties of biological systems to be understood. A study of the topological and statistical properties of budding yeast and human PINs revealed that they are scale-rich and configured as highly optimized tolerance (HOT) networks that are similar to the router-level topology of the Internet. This is different from claims that such networks are scale-free and configured through simple preferential-attachment processes. Further analysis revealed that there are extensive interconnections among middle-degree nodes that form the backbone of the networks. Degree distributions of essential genes, synthetic lethal genes, synthetic sick genes, and human drug-target genes indicate that there are advantageous drug targets among nodes with middle- to low-degree nodes. Such network properties provide the rationale for combinatorial drugs that target less prominent nodes to increase synergetic efficacy and create fewer side effects. Takeshi Hase, Hiroshi Tanaka, Yasuhiro Suzuki, So Nakagawa, Hiroaki Kitano |
PLoS Comput. Biol. | 4 |