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This article is part of the supplement: Selected articles from the Eleventh Asia Pacific Bioinformatics Conference (APBC 2013): Genomics

Open Access Proceedings

FitSearch: a robust way to interpret a yeast fitness profile in terms of drug's mode-of-action

Minho Lee1, Sangjo Han2, Hyeshik Chang3, Youn-Sig Kwak4, David M Weller5 and Dongsup Kim1*

  • * Corresponding author: Dongsup Kim

  • † Equal contributors

Author Affiliations

1 Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-Gu, Daejeon, 305-701, Republic of Korea

2 Bioinformatics Lab, Healthcare group, SK telecom, 9-1, Sunae-dong, Pundang-gu, Sungnam-si, Kyunggi-do, 463-784, Republic of Korea

3 Department of Biological Science, Seoul National University, 599 Gwanakro, Gwanak-gu, Seoul, 151-747, Republic of Korea

4 Department of Applied Biology, Gyeongsang National University, 501 Jinju-daero, Jinju, Gyeongnam, 660-701, Republic of Korea

5 USDA-ARS, Root Disease and Biological Control Research Unit, 367 Johnson Hall, Washington State University, Pullman, Washington 99164-6430, USA

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BMC Genomics 2013, 14(Suppl 1):S6  doi:10.1186/1471-2164-14-S1-S6

Published: 21 January 2013

Additional files

Additional file 1:

Summary of FitSeach results of Clotrimazole, Latrunculin B, Benomyl, Cisplatin, and 2,4-DAPG.

Format: PDF Size: 25KB Download file

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Open Data