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

Maria Jesus Martin

Showing results (1-10 of 32) with videos related to

Pageof 4
Sort By:
F1000Research|April 22, 2014
FeatureViewer, a BioJS component for visualization of position-based annotations in protein sequencesLeyla Garcia, Guy Yachdav, Maria-Jesus Martin
Genetic Engineering|September 25, 2004
Protein sequence database methodsMaria Jesus Martin, Claire O'Donovan, Rolf Apweiler
Pharmacogenomics|April 30, 2003
Managing core resources for genomics and proteomicsRolf Apweiler, Maria Jesus Martin, Claire O'Donovan, et al.
Briefings in Bioinformatics|September 17, 2002
High-quality protein knowledge resource: SWISS-PROT and TrEMBLClaire O'Donovan, Maria Jesus Martin, Alexandre Gattiker, et al.
Scientific Reports|May 16, 2019
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural NetworksAhmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|April 9, 2008
UniProtJAPI: a remote API for accessing UniProt dataSamuel Patient, Daniela Wieser, Michael Kleen, et al.
Briefings in Bioinformatics|August 8, 2018
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesAhmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, et al.
BMC Bioinformatics|September 23, 2018
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclatureAlperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, et al.
Chemical Science|November 19, 2020
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representationsAhmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay, et al.
Bioinformatics (Oxford, England)|July 8, 2022
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteinsGökhan Özsarı, Ahmet Sureyya Rifaioglu, Ahmet Atakan, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
F1000Research|April 22, 2014
FeatureViewer, a BioJS component for visualization of position-based annotations in protein sequencesLeyla Garcia, Guy Yachdav, Maria-Jesus Martin
Genetic Engineering|September 25, 2004
Protein sequence database methodsMaria Jesus Martin, Claire O'Donovan, Rolf Apweiler
Pharmacogenomics|April 30, 2003
Managing core resources for genomics and proteomicsRolf Apweiler, Maria Jesus Martin, Claire O'Donovan, et al.
Briefings in Bioinformatics|September 17, 2002
High-quality protein knowledge resource: SWISS-PROT and TrEMBLClaire O'Donovan, Maria Jesus Martin, Alexandre Gattiker, et al.
Scientific Reports|May 16, 2019
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural NetworksAhmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|April 9, 2008
UniProtJAPI: a remote API for accessing UniProt dataSamuel Patient, Daniela Wieser, Michael Kleen, et al.
Briefings in Bioinformatics|August 8, 2018
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesAhmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, et al.
BMC Bioinformatics|September 23, 2018
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclatureAlperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, et al.
Chemical Science|November 19, 2020
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representationsAhmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay, et al.
Bioinformatics (Oxford, England)|July 8, 2022
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteinsGökhan Özsarı, Ahmet Sureyya Rifaioglu, Ahmet Atakan, et al.
Pageof 4