| Presentation | 2019-08-02 A computational method to infer microbial interaction network Shinji Nakaoka, Suzuki, Takeuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | DNA sequence technology is indispensable for identifying a living organism as a set of genes. Metagenomic sequencing simultaneously targets several different microbial species to identify existing microbial species in a given environment. Informatics analysis of metagenomic datasets opens an opportunity to track a disease progression such as inflammatory bowel disease via compositional change of a gut microbial community. Although species composition can be easily identified from metagenomic data via visualization, more elaboration is required to infer associations among microbial species that constitute and maintain a community. In this talk, I would like to introduce research progress on inferring an interaction network in a microbial community from metagenomic datasets. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | microbiota / DNA sequencing / network inference |
| Paper # | CCS2019-22 |
| Date of Issue | 2019-07-25 (CCS) |
| Conference Information | |
| Committee | CCS / IN |
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| Conference Date | 2019/8/1(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KIKI SHIRETOKO NATURAL RESORT |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Makoto Naruse(NICT) / Takuji Kishida(NTT-AT) |
| Vice Chair | Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Tetsuya Asai(Hokkaido Univ.) / Kenji Ishida(Hiroshima City Univ.) |
| Secretary | Shigeki Shiokawa(Hiroshima City Univ.) / Tetsuya Asai(Kanagawa Inst. of Tech.) / Kenji Ishida(NTT Communications) |
| Assistant | Hidehiro Nakano(Tokyo City Univ.) / Kazuki Nakada(Tsukuba Univ. of Tech.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Complex Communication Sciences / Technical Committee on Information Networks |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A computational method to infer microbial interaction network |
| Sub Title (in English) | |
| Keyword(1) | microbiota |
| Keyword(2) | DNA sequencing |
| Keyword(3) | network inference |
| 1st Author's Name | Shinji Nakaoka |
| 1st Author's Affiliation | Hokkaido University(Hokudai) |
| 2nd Author's Name | Suzuki |
| 2nd Author's Affiliation | Aoyamagakuin University(Aogaku Univ.) |
| 3rd Author's Name | Takeuchi |
| 3rd Author's Affiliation | Aoyamagakuin University(Aogaku Univ.) |
| Date | 2019-08-02 |
| Paper # | CCS2019-22 |
| Volume (vol) | vol.119 |
| Number (no) | CCS-157 |
| Page | pp.pp.23-25(CCS), |
| #Pages | 3 |
| Date of Issue | 2019-07-25 (CCS) |