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Iddo Friedberg

Showing results (31-40 of 75) with videos related to

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Plant Direct|June 28, 2019
Maize GO Annotation-Methods, Evaluation, and Review (maize-GAMER)Kokulapalan Wimalanathan, Iddo Friedberg, Carson M Andorf, et al.
Bioinformatics (Oxford, England)|January 23, 2023
GOThresher: a program to remove annotation biases from protein function annotation datasetsParnal Joshi, Sagnik Banerjee, Xiao Hu, et al.
Nucleic Acids Research|December 11, 2020
Deploying MMEJ using MENdel in precision gene editing applications for gene therapy and functional genomicsGabriel Martínez-Gálvez, Parnal Joshi, Iddo Friedberg, et al.
Bioinformatics (Oxford, England)|January 24, 2007
Using an alignment of fragment strings for comparing protein structuresIddo Friedberg, Tim Harder, Rachel Kolodny, et al.
Bioinformatics (Oxford, England)|March 5, 2014
The automated function prediction SIG looks back at 2013 and prepares for 2014Mark N Wass, Sean D Mooney, Michal Linial, et al.
Biorxiv : the Preprint Server for Biology|July 15, 2024
Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized ProteinsValérie de Crécy-Lagard, Raquel Dias, Iddo Friedberg, et al.
Plos Computational Biology|June 6, 2013
Biases in the experimental annotations of protein function and their effect on our understanding of protein function spaceAlexandra M Schnoes, David C Ream, Alexander W Thorman, et al.
The ISME Journal|March 11, 2011
Protist diversity in a permanently ice-covered Antarctic lake during the polar night transitionScott Bielewicz, Elanor Bell, Weidong Kong, et al.
Advances in Nutrition (Bethesda, Md.)|May 16, 2012
Host-microbe interactions in the neonatal intestine: role of human milk oligosaccharidesSharon M Donovan, Mei Wang, Min Li, et al.
G3 (Bethesda, Md.)|July 24, 2025
Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized ProteinsValérie de Crécy-Lagard, Raquel Dias, Nick Sexson, et al.
Pageof 8

Showing results (31-40 of 75) with videos related to

Sort By:
Pageof 8
Plant Direct|June 28, 2019
Maize GO Annotation-Methods, Evaluation, and Review (maize-GAMER)Kokulapalan Wimalanathan, Iddo Friedberg, Carson M Andorf, et al.
Bioinformatics (Oxford, England)|January 23, 2023
GOThresher: a program to remove annotation biases from protein function annotation datasetsParnal Joshi, Sagnik Banerjee, Xiao Hu, et al.
Nucleic Acids Research|December 11, 2020
Deploying MMEJ using MENdel in precision gene editing applications for gene therapy and functional genomicsGabriel Martínez-Gálvez, Parnal Joshi, Iddo Friedberg, et al.
Bioinformatics (Oxford, England)|January 24, 2007
Using an alignment of fragment strings for comparing protein structuresIddo Friedberg, Tim Harder, Rachel Kolodny, et al.
Bioinformatics (Oxford, England)|March 5, 2014
The automated function prediction SIG looks back at 2013 and prepares for 2014Mark N Wass, Sean D Mooney, Michal Linial, et al.
Biorxiv : the Preprint Server for Biology|July 15, 2024
Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized ProteinsValérie de Crécy-Lagard, Raquel Dias, Iddo Friedberg, et al.
Plos Computational Biology|June 6, 2013
Biases in the experimental annotations of protein function and their effect on our understanding of protein function spaceAlexandra M Schnoes, David C Ream, Alexander W Thorman, et al.
The ISME Journal|March 11, 2011
Protist diversity in a permanently ice-covered Antarctic lake during the polar night transitionScott Bielewicz, Elanor Bell, Weidong Kong, et al.
Advances in Nutrition (Bethesda, Md.)|May 16, 2012
Host-microbe interactions in the neonatal intestine: role of human milk oligosaccharidesSharon M Donovan, Mei Wang, Min Li, et al.
G3 (Bethesda, Md.)|July 24, 2025
Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized ProteinsValérie de Crécy-Lagard, Raquel Dias, Nick Sexson, et al.
Pageof 8