Spresso specifications
Information
| Unique identifier | OMICS_17537 |
|---|---|
| Name | Spresso |
| Software type | Package/Module |
| Interface | Command line interface |
| Restrictions to use | None |
| Operating system | Unix/Linux |
| Programming languages | C++, Python |
| License | GNU General Public License version 3.0 |
| Computer skills | Advanced |
| Version | 1.0.3 |
| Stability | Stable |
| Source code URL | http://www.bi.cs.titech.ac.jp/spresso/ |
| Maintained | Yes |
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Maintainer
- person_outline Yutaka Akiyama <>
Publication for Spresso
2017 Bioinformatics
PMCID: 5860314
PMID: 28369284
DOI: 10.1093/bioinformatics/btx178
Spresso institution(s)
Department of Computer Science, School of Computing, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo, Japan; Education Academy of Computational Life Sciences (ACLS), Tokyo Institute of Technology, Nagatsutacho, Midori-ku, Yokohama City, Kanagawa, Japan; Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo, Japan; Advanced Computational Drug Discovery Unit (ACDD), Institute of Innovative Research, Tokyo Institute of Technology, Nagatsutacho, Midori-ku, Yokohama City, Kanagawa, Japan
Spresso funding source(s)
This work was partially supported by a Grant-in-Aid for Scientific Research (A) (Grant Number 24240044) from the Japan Society for the Promotion of Science (JSPS) and Core Research for Evolutional Science and Technology (CREST) “Extreme Big Data” from the Japan Science and Technology Agency (JST).
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