Demo Data from VLDB 2026 / reviewers in the wild / expert
Yuki Naito
dblp:33/3057
· DBLP profile ↗
5ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0002-1182-6786ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 2 first-author · 1 since 2021Artificial intelligence and machine learning · 1Theory of computation · 1 · 1 since 2021
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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › data integration
biological database integration |
0.6 | 1 | 2022 | TogoID: an exploratory ID converter to bridge biological datasets · Bioinform. 2022 |
Bioinformatics and computational biology
identifier mapping |
0.6 | 1 | 2022 | TogoID: an exploratory ID converter to bridge biological datasets · Bioinform. 2022 |
Bioinformatics and computational biology › genome editing
CRISPR guide RNA design |
0.2 | 1 | 2015 | CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites · Bioinform. 2015 |
Bioinformatics and computational biology
genome engineering |
0.2 | 1 | 2015 | CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites · Bioinform. 2015 |
Bioinformatics and computational biology › drug discovery › drug-target interaction prediction
off-target prediction |
0.2 | 1 | 2015 | CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
ontology construction · 0.6API development · 0.6exhaustive sequence search · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Quantum Query Lower Bounds for Key Recovery Attacks on the Even-Mansour Cipher
Akinori Kawachi, Yuki Naito |
COCOON (2) | 2 |
| 2022 | TogoID: an exploratory ID converter to bridge biological datasetsabstractMOTIVATION: Understanding life cannot be accomplished without making full use of biological data, which are scattered across databases of diverse categories in life sciences. To connect such data seamlessly, identifier (ID) conversion plays a key role. However, existing ID conversion services have disadvantages, such as covering only a limited range of biological categories of databases, not keeping up with the updates of the original databases and outputs being hard to interpret in the context of biological relations, especially when converting IDs in multiple steps. RESULTS: TogoID is an ID conversion service implementing unique features with an intuitive web interface and an application programming interface (API) for programmatic access. TogoID currently supports 65 datasets covering various biological categories. TogoID users can perform exploratory multistep conversions to find a path among IDs. To guide the interpretation of biological meanings in the conversions, we crafted an ontology that defines the semantics of the dataset relations. AVAILABILITY AND IMPLEMENTATION: The TogoID service is freely available on the TogoID website (https://togoid.dbcls.jp/) and the API is also provided to allow programmatic access. To encourage developers to add new dataset pairs, the system stores the configurations of pairs at the GitHub repository (https://github.com/togoid/togoid-config) and accepts the request of additional pairs. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Shuya Ikeda, Hiromasa Ono, Tazro Ohta, Hirokazu Chiba, Yuki Naito, Yuki Moriya, Shuichi Kawashima, Yasunori Yamamoto, Shinobu Okamoto, Susumu Goto, Toshiaki Katayama |
Bioinform. | 5 |
| 2015 | CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sitesabstractUNLABELLED: CRISPRdirect is a simple and functional web server for selecting rational CRISPR/Cas targets from an input sequence. The CRISPR/Cas system is a promising technique for genome engineering which allows target-specific cleavage of genomic DNA guided by Cas9 nuclease in complex with a guide RNA (gRNA), that complementarily binds to a ∼ 20 nt targeted sequence. The target sequence requirements are twofold. First, the 5'-NGG protospacer adjacent motif (PAM) sequence must be located adjacent to the target sequence. Second, the target sequence should be specific within the entire genome in order to avoid off-target editing. CRISPRdirect enables users to easily select rational target sequences with minimized off-target sites by performing exhaustive searches against genomic sequences. The server currently incorporates the genomic sequences of human, mouse, rat, marmoset, pig, chicken, frog, zebrafish, Ciona, fruit fly, silkworm, Caenorhabditis elegans, Arabidopsis, rice, Sorghum and budding yeast. AVAILABILITY: Freely available at http://crispr.dbcls.jp/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Yuki Naito, Kimihiro Hino, Hidemasa Bono, Kumiko Ui-Tei |
Bioinform. | 1 |
| 2009 | siDirect 2.0: updated software for designing functional siRNA with reduced seed-dependent off-target effectabstractBACKGROUND: RNA interference (RNAi), mediated by 21-nucleotide (nt)-length small interfering RNAs (siRNAs), is a powerful tool not only for studying gene function but also for therapeutic applications. RNAi, requiring perfect complementarity between the siRNA guide strand and the target mRNA, was believed to be extremely specific. However, a recent growing body of evidence has suggested that siRNA could down-regulate unintended genes whose transcripts possess complementarity to the 7-nt siRNA seed region. This off-target gene silencing may often provide incongruous results obtained from knockdown experiments, leading to misinterpretation. Thus, an efficient algorithm for designing functional siRNAs with minimal off-target effect based on the mechanistic features is considered of value. RESULTS: We present siDirect 2.0, an update of our web-based software siDirect, which provides functional and off-target minimized siRNA design for mammalian RNAi. The previous version of our software designed functional siRNAs by considering the relationship between siRNA sequence and RNAi activity, and provided them along with the enumeration of potential off-target gene candidates by using a fast and sensitive homology search algorithm. In the new version, the siRNA design algorithm is extensively updated to eliminate off-target effects by reflecting our recent finding that the capability of siRNA to induce off-target effect is highly correlated to the thermodynamic stability, or the melting temperature (Tm), of the seed-target duplex, which is formed between the nucleotides positioned at 2-8 from the 5' end of the siRNA guide strand and its target mRNA. Selection of siRNAs with lower seed-target duplex stabilities (benchmark Tm < 21.5 degrees C) followed by the elimination of unrelated transcripts with nearly perfect match should minimize the off-target effects. CONCLUSION: siDirect 2.0 provides functional, target-specific siRNA design with the updated algorithm which significantly reduces off-target silencing. When the candidate functional siRNAs could form seed-target duplexes with Tm values below 21.5 degrees C, and their 19-nt regions spanning positions 2-20 of both strands have at least two mismatches to any other non-targeted transcripts, siDirect 2.0 can design at least one qualified siRNA for >94% of human mRNA sequences in RefSeq. siDirect 2.0 is available at http://siDirect2.RNAi.jp/. Yuki Naito, Jun Yoshimura, Shinichi Morishita, Kumiko Ui-Tei |
BMC Bioinform. | 1 |
| 2003 | Ontology-Based Medical Information Service System
Hirokazu Taki, Noriyuki Matsuda, Michiyasu Hiramatsu, Yuki Naito, Jiro Nakajima, Tadashi Nakamura, Akihisa Imagawa, Yuji Matsuzawa, Norihiro Abe, Satoshi Hori |
KES | 4 |