M
Martin Tompa
Researcher at University of Washington
Publications - 97
Citations - 8533
Martin Tompa is an academic researcher from University of Washington. The author has contributed to research in topics: Phylogenetic footprinting & Multiple sequence alignment. The author has an hindex of 38, co-authored 97 publications receiving 8332 citations. Previous affiliations of Martin Tompa include University of Toronto & Seattle University.
Papers
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Journal ArticleDOI
Assessing computational tools for the discovery of transcription factor binding sites.
Martin Tompa,Nan Li,Timothy L. Bailey,George M. Church,Bart De Moor,Eleazar Eskin,Alexander V. Favorov,Martin C. Frith,Yutao Fu,W. James Kent,Vsevolod J. Makeev,Andrei A. Mironov,William Stafford Noble,Giulio Pavesi,Graziano Pesole,Mireille Régnier,Nicolas Simonis,Saurabh Sinha,Gert Thijs,Jacques van Helden,Mathias Vandenbogaert,Zhiping Weng,Christopher T. Workman,Chun Ye,Zhou Zhu +24 more
TL;DR: The purpose of the current assessment is to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark of data sets for assessing future tools.
Journal ArticleDOI
Rv3133c/dosR is a transcription factor that mediates the hypoxic response of Mycobacterium tuberculosis.
Heui-Dong Park,Kristi M. Guinn,Maria I. Harrell,Reiling Liao,Martin I. Voskuil,Martin Tompa,Gary K. Schoolnik,David R. Sherman +7 more
TL;DR: Results demonstrate that Rv3133c/DosR is a transcription factor of the two‐component response regulator class, and that it is the primary mediator of a hypoxic signal within M. tuberculosis.
Journal ArticleDOI
Finding motifs using random projections.
Jeremy Buhler,Martin Tompa +1 more
TL;DR: A novel motif-discovery algorithm, PROJECTION, is introduced, designed to enhance the performance of existing motif finders using random projections of the input's substrings, and is robust to nonuniform background sequence distributions and scales to larger amounts of sequence than that specified in the original challenge.
Proceedings ArticleDOI
Finding motifs using random projections
Jeremy Buhler,Martin Tompa +1 more
TL;DR: A novel motif discovery algorithm based on the use of random projections of the input's substrings is introduced that performs better than existing algorithms and typically solves the difficult (14,4)-, (16,5)-, and (18,6)-motif problems quite efficiently.
Journal ArticleDOI
How to share a secret with cheaters
Martin Tompa,Heather Woll +1 more
TL;DR: This paper demonstrates that Shamir's scheme is not secure against certain forms of cheating, and a small modification to his scheme retains the security and efficiency of the original and preserves the property that its security does not depend on any unproven assumptions such as the intractability of computing number-theoretic functions.