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Christopher T. Workman
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2020 – today
- 2022
- [j10]Christian Degnbol Madsen
, Jotun Hein
Systematic inference of indirect transcriptional regulation by protein kinases and phosphatases. PLoS Comput. Biol. 18(6) (2022)
2010 – 2019
- 2017
- [j9]Alexander Junge
RAIN: RNA-protein Association and Interaction Networks. Database J. Biol. Databases Curation 2017: baw167 (2017) - 2014
- [j8]Li Jiang, Stefan M. Edwards
A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF, OMIM and PubMed records. BMC Bioinform. 15: 315 (2014)
2000 – 2009
- 2009
- [j7]Duygu Ucar
Predicting functionality of protein-DNA interactions by integrating diverse evidence. Bioinform. 25(12) (2009) - 2007
- [j6]Jens Hollunder
DASS: efficient discovery and p-value calculation of substructures in unordered data. Bioinform. 23(1): 77-83 (2007) - 2006
- [j5]Andreas Beyer, Christopher T. Workman
Integrated Assessment and Prediction of Transcription Factor Binding. PLoS Comput. Biol. 2(6) (2006) - [e2]Eleazar Eskin, Trey Ideker, Benjamin J. Raphael, Christopher T. Workman:
Systems Biology and Regulatory Genomics, Joint Annual RECOMB 2005 Satellite Workshops on Systems Biology and on Regulatory Genomics, San Diego, CA, USA; December 2-4, 2005, Revised Selected Papers. Lecture Notes in Computer Science 4023, Springer 2006, ISBN 978-3-540-48293-2 [contents] - 2005
- [j4]Christopher T. Workman
enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic Acids Res. 33(Web-Server-Issue): 389-392 (2005) - [e1]Eleazar Eskin, Christopher T. Workman:
Regulatory Genomics, RECOMB 2004 International Workshop, RRG 2004, San Diego, CA, USA, March 26-27, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3318, Springer 2005, ISBN 3-540-24456-5 [contents] - 2003
- [j3]Steen Knudsen, Christopher T. Workman
GenePublisher: automated analysis of DNA microarray data. Nucleic Acids Res. 31(13): 3471-3476 (2003) - 2002
- [j2]Jeppe S. Spicker, Friedrik Wikman, Ming-Lan Lu, Carlos Cordon-Cardo, Christopher T. Workman
Neural network predicts sequence of TP53 gene based on DNA chip. Bioinform. 18(8): 1133-1134 (2002) - 2001
- [j1]Samuel Levy, Sridhar Hannenhalli, Christopher T. Workman
Enrichment of regulatory signals in conserved non-coding genomic sequence. Bioinform. 17(10): 871-877 (2001)
1990 – 1999
- 1999
- [c1]D. C. Weaver, Christopher T. Workman, Gary D. Stormo:
Modeling Regulatory Networks with Weight Matrices. Pacific Symposium on Biocomputing 1999: 112-123
Coauthor Index
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