| Paper Abstract and Keywords |
| Presentation |
2019-08-02 13:55
A computational method to infer microbial interaction network Shinji Nakaoka (Hokudai), Suzuki, Takeuchi (Aogaku Univ.) CCS2019-22 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (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) |
| (in English) |
microbiota / DNA sequencing / network inference / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 119, no. 157, CCS2019-22, pp. 23-25, Aug. 2019. |
| Paper # |
CCS2019-22 |
| Date of Issue |
2019-07-25 (CCS) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
CCS2019-22 |
| Conference Information |
| Committee |
CCS IN |
| Conference Date |
2019-08-01 - 2019-08-02 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
KIKI SHIRETOKO NATURAL RESORT |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
CCS |
| Conference Code |
2019-08-CCS-IN |
| Language |
Japanese |
| 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) |
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| Keyword(1) |
microbiota |
| Keyword(2) |
DNA sequencing |
| Keyword(3) |
network inference |
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| 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.) |
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| Speaker |
Author-1 |
| Date Time |
2019-08-02 13:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
CCS |
| Paper # |
CCS2019-22 |
| Volume (vol) |
vol.119 |
| Number (no) |
no.157 |
| Page |
pp.23-25 |
| #Pages |
3 |
| Date of Issue |
2019-07-25 (CCS) |