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

Laxmi Parida

Showing results (11-20 of 128) with videos related to

Pageof 13
Sort By:
BMC Bioinformatics|July 26, 2016
Does encoding matter? A novel view on the quantitative genetic trait prediction problemDan He, Laxmi Parida
BMC Bioinformatics|February 4, 2010
APBC 2010. The Eighth Asia Pacific Bioinformatics Conference Bangalore, India, 18-21 January 2010Laxmi Parida, Gene Myers
Methods in Molecular Biology (Clifton, N.J.)|March 13, 2012
Discovering patterns in gene orderLaxmi Parida, Niina Haiminen
Bulletin of the World Health Organization|August 4, 2020
Variant analysis of SARS-CoV-2 genomesTakahiko Koyama, Daniel Platt, Laxmi Parida
Algorithms for Molecular Biology : AMB|May 26, 2006
Mining, compressing and classifying with extensible motifsAlberto Apostolico, Matteo Comin, Laxmi Parida
Bioinformatics (Oxford, England)|June 17, 2016
Novel applications of multitask learning and multiple output regression to multiple genetic trait predictionDan He, David Kuhn, Laxmi Parida
Bioinformatics (Oxford, England)|June 18, 2005
Conservative extraction of over-represented extensible motifsAlberto Apostolico, Matteo Comin, Laxmi Parida
Trends in Cancer|July 26, 2017
Watson for Genomics: Moving Personalized Medicine ForwardKahn Rhrissorrakrai, Takahiko Koyama, Laxmi Parida
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 30, 2010
VARUN: discovering extensible motifs under saturation constraintsAlberto Apostolico, Matteo Comin, Laxmi Parida
BMC Cancer|February 3, 2019
Analysis on GENIE reveals novel recurrent variants that affect molecular diagnosis of sizable number of cancer patientsTakahiko Koyama, Kahn Rhrissorrakrai, Laxmi Parida
Pageof 13

Showing results (11-20 of 128) with videos related to

Sort By:
Pageof 13
BMC Bioinformatics|July 26, 2016
Does encoding matter? A novel view on the quantitative genetic trait prediction problemDan He, Laxmi Parida
BMC Bioinformatics|February 4, 2010
APBC 2010. The Eighth Asia Pacific Bioinformatics Conference Bangalore, India, 18-21 January 2010Laxmi Parida, Gene Myers
Methods in Molecular Biology (Clifton, N.J.)|March 13, 2012
Discovering patterns in gene orderLaxmi Parida, Niina Haiminen
Bulletin of the World Health Organization|August 4, 2020
Variant analysis of SARS-CoV-2 genomesTakahiko Koyama, Daniel Platt, Laxmi Parida
Algorithms for Molecular Biology : AMB|May 26, 2006
Mining, compressing and classifying with extensible motifsAlberto Apostolico, Matteo Comin, Laxmi Parida
Bioinformatics (Oxford, England)|June 17, 2016
Novel applications of multitask learning and multiple output regression to multiple genetic trait predictionDan He, David Kuhn, Laxmi Parida
Bioinformatics (Oxford, England)|June 18, 2005
Conservative extraction of over-represented extensible motifsAlberto Apostolico, Matteo Comin, Laxmi Parida
Trends in Cancer|July 26, 2017
Watson for Genomics: Moving Personalized Medicine ForwardKahn Rhrissorrakrai, Takahiko Koyama, Laxmi Parida
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 30, 2010
VARUN: discovering extensible motifs under saturation constraintsAlberto Apostolico, Matteo Comin, Laxmi Parida
BMC Cancer|February 3, 2019
Analysis on GENIE reveals novel recurrent variants that affect molecular diagnosis of sizable number of cancer patientsTakahiko Koyama, Kahn Rhrissorrakrai, Laxmi Parida
Pageof 13