
Prospectus
Drafted on Oct 27, 1999.
In the "Human Genome Project" that started at the end of the 1980s,
the genome, the basic data of life, is systematically analyzed. Since
then, the genome of more than 100 species from human to bacteria has
been analyzed, and the whole genome for more than 20 species has been
sequenced. These advances produced massive amounts of data including
genomic sequences that made computer technology indispensable for
further developments. As a result, information processing underwent a
transformation from a tool for data analysis to a sophisticated means
for the discovery and management of information pertaining to genome
sequence, gene-expression, and genome-mutations. In addition,
information processing techniques are used to handle information on
the cellular-, individual-, and species level and the entire life
science field is now computerized. Consequently, the importance of the
new academic discipline of bioinformatics has become widely
acknowledged and it will be the key academic area of the 21st century.
Bioinformatics attempts to model the life system, or at least its
components, on a computer by analyzing and utilizing genetic
information. By implementing the construction principles of life on a
computer, the gate to applied research opens and it will become
possible to design species that can decompose environmental
pollutants, to mass-produce industrial commodities by using the
ecosystem, to identify pathogenetic genes from network predictions,
and to develop therapeutic products based on dynamic sensitivity
predictions. In both Europe and the USA, bioinformatics is ranked high
both as an occupation and as a research topic. Moreover, the
International Society for Computational Biology was founded and seeks
input regarding research, education, and industry.
For 21st century biology and medical and other sciences, further
advances in bioinformatics are indispensable. Consequently, we need a
society that can address basic and applied research in bioinformatics,
bioinformatics education, the improvement of the bioinformatics
infrastructure such as databases and networks, and intellectual
property rights on biological information. Therefore, to develop the
academic discipline of bioinformatics, to promote advances in its
technology and affiliated specialities, and to establish its
educational basis, we founded the Japanese Society for Bioinformatics.
Founders of the Japanese Society for Bioinformatics
| Yutaka Akiyama
| Tatsuya Akutsu
| Kiyoshi Asai
| Minoru Asogawa
| Setsuo Arikawa
|
| Toshimichi Ikemura
| Tooru Ishida
| Masaharu Isoyama
| Nobuyuki Ichiyoshi
| Shigeo Ihara
|
| Hitoshi Iba
| Hiroshi Imai
| Ikuo Uchiyama
| Yukihiro Eguchi
| Kousaku Okubo
|
| Akira Oyama
| Masahiro Okamoto
| Jun Ogiwara
| Kentaro Onizuka
| Shigehiko Kanaya
|
| Minoru Kanehisa
| Hajime Kitakami
| Hiroaki Kitano
| Yasuhiko Kitamura
| Satoru Kuhara
|
| Akihiko Konagaya
| Osamu Gotoh
| Susumu Goto
| Seiya Saitou
| Yasufumi Sakakibara
|
| Kenji Sato
| Akinori Sarai
| Takeshi Shinohara
| Ayumi Shinohara
| Toshio Shimizu
|
| Hideaki Sugawara
| Akira Suyama
| Makiko Suwa
| Takako Takai
| Toshihisa Takagi
|
| Yoshimasa Takahashi
| Hidetoshi Tanaka
| Satoshi Tabata
| Junichi Tsujii
| Takao Terano
|
| Yukihiro Toh
| Masaru Tomita
| Kenta Nakai
| Akihide Nakashima
| Kotoko Nakata
|
| Noriyuki Nakanishi
| Haruki Nakamura
| Keiichi Nagai
| Takaaki Nishioka
| Ken Nishikawa
|
| Katsumi Nitta
| Yasuhisa Nemoto
| Masami Hagiya
| Akihiro Hashimoto
| Haretsugu Hishigaki
|
| Makoto Hirosawa
| Hiroshi Fukagawa
| Masao Fukagawa
| Nobuhiro Fukushima
| Yuzuru Fushimi
|
| Yoshiji Fujita
| Asao Fujiyama
| Emiko Furuichi
| Hiroshi Matsuo
| Hideo Matsuda
|
| Yuji Matsumoto
| Hiroshi Mamitsuka
| Hiroshi Mizushima
| Shigeki Mitaku
| Nobuo Minoshima
|
| Satoru Miyano
| Shinichi Morishita
| Hirotada Mori
| Teruo Yasunaga
| Tetsushi Yada
|
| Kenji Yamamoto
| Kazumasa Yokota
| Takashi Yokomori
| Akinori Yonezawa
|
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