Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Tom Whitington

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Nucleic Acids Research|November 8, 2008
High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sitesTom Whitington, Andrew C Perkins, Timothy L Bailey
BMC Bioinformatics|April 13, 2010
The value of position-specific priors in motif discovery using MEMETimothy L Bailey, Mikael Bodén, Tom Whitington, et al.
Nucleic Acids Research|May 24, 2011
Inferring transcription factor complexes from ChIP-seq dataTom Whitington, Martin C Frith, James Johnson, et al.
Bioinformatics (Oxford, England)|November 11, 2011
Epigenetic priors for identifying active transcription factor binding sitesGabriel Cuellar-Partida, Fabian A Buske, Robert C McLeay, et al.
Genome Research|May 29, 2010
A global role for KLF1 in erythropoiesis revealed by ChIP-seq in primary erythroid cellsMichael R Tallack, Tom Whitington, Wai Shan Yuen, et al.
European Urology|January 21, 2017
Comprehensive Profiling of the Androgen Receptor in Liquid Biopsies from Castration-resistant Prostate Cancer Reveals Novel Intra-AR Structural Variation and Splice Variant Expression PatternsBram De Laere, Pieter-Jan van Dam, Tom Whitington, et al.
Genome Medicine|November 22, 2018
Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesisMarkus Mayrhofer, Bram De Laere, Tom Whitington, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|September 14, 2018
<i>TP53</i> Outperforms Other Androgen Receptor Biomarkers to Predict Abiraterone or Enzalutamide Outcome in Metastatic Castration-Resistant Prostate CancerBram De Laere, Steffi Oeyen, Markus Mayrhofer, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Nucleic Acids Research|November 8, 2008
High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sitesTom Whitington, Andrew C Perkins, Timothy L Bailey
BMC Bioinformatics|April 13, 2010
The value of position-specific priors in motif discovery using MEMETimothy L Bailey, Mikael Bodén, Tom Whitington, et al.
Nucleic Acids Research|May 24, 2011
Inferring transcription factor complexes from ChIP-seq dataTom Whitington, Martin C Frith, James Johnson, et al.
Bioinformatics (Oxford, England)|November 11, 2011
Epigenetic priors for identifying active transcription factor binding sitesGabriel Cuellar-Partida, Fabian A Buske, Robert C McLeay, et al.
Genome Research|May 29, 2010
A global role for KLF1 in erythropoiesis revealed by ChIP-seq in primary erythroid cellsMichael R Tallack, Tom Whitington, Wai Shan Yuen, et al.
European Urology|January 21, 2017
Comprehensive Profiling of the Androgen Receptor in Liquid Biopsies from Castration-resistant Prostate Cancer Reveals Novel Intra-AR Structural Variation and Splice Variant Expression PatternsBram De Laere, Pieter-Jan van Dam, Tom Whitington, et al.
Genome Medicine|November 22, 2018
Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesisMarkus Mayrhofer, Bram De Laere, Tom Whitington, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|September 14, 2018
<i>TP53</i> Outperforms Other Androgen Receptor Biomarkers to Predict Abiraterone or Enzalutamide Outcome in Metastatic Castration-Resistant Prostate CancerBram De Laere, Steffi Oeyen, Markus Mayrhofer, et al.
Pageof 1