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Journal of Chemical Information and Modeling
|
June 26, 2012
dREL: a relational expression language for dictionary methods
Nick Spadaccini, Ian R Castleden, Doug du Boulay, et al.
Plant & Cell Physiology
|
November 12, 2015
Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL)
Cornelia M Hooper, Ian R Castleden, Nader Aryamanesh, et al.
Nucleic Acids Research
|
December 1, 2016
SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations
Cornelia M Hooper, Ian R Castleden, Sandra K Tanz, et al.
Advances in Experimental Medicine and Biology
|
February 3, 2022
Subcellular Proteomics as a Unified Approach of Experimental Localizations and Computed Prediction Data for Arabidopsis and Crop Plants
Cornelia M Hooper, Ian R Castleden, Sandra K Tanz, et al.
The Plant Journal : for Cell and Molecular Biology
|
August 12, 2020
CropPAL for discovering divergence in protein subcellular location in crops to support strategies for molecular crop breeding
Cornelia M Hooper, Ian R Castleden, Nader Aryamanesh, et al.
Bioinformatics (Oxford, England)
|
August 24, 2014
SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome
Cornelia M Hooper, Sandra K Tanz, Ian R Castleden, et al.
Scientific Reports
|
January 19, 2021
Identifying protein subcellular localisation in scientific literature using bidirectional deep recurrent neural network
Rakesh David, Rhys-Joshua D Menezes, Jan De Klerk, et al.
Molecular Plant
|
November 25, 2019
The Expansion and Diversification of Pentatricopeptide Repeat RNA-Editing Factors in Plants
Bernard Gutmann, Santana Royan, Mareike Schallenberg-Rüdinger, et al.
The Plant Journal : for Cell and Molecular Biology
|
October 13, 2017
Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples
Cornelia M Hooper, Tim J Stevens, Anna Saukkonen, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Journal of Chemical Information and Modeling
|
June 26, 2012
dREL: a relational expression language for dictionary methods
Nick Spadaccini, Ian R Castleden, Doug du Boulay, et al.
Plant & Cell Physiology
|
November 12, 2015
Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL)
Cornelia M Hooper, Ian R Castleden, Nader Aryamanesh, et al.
Nucleic Acids Research
|
December 1, 2016
SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations
Cornelia M Hooper, Ian R Castleden, Sandra K Tanz, et al.
Advances in Experimental Medicine and Biology
|
February 3, 2022
Subcellular Proteomics as a Unified Approach of Experimental Localizations and Computed Prediction Data for Arabidopsis and Crop Plants
Cornelia M Hooper, Ian R Castleden, Sandra K Tanz, et al.
The Plant Journal : for Cell and Molecular Biology
|
August 12, 2020
CropPAL for discovering divergence in protein subcellular location in crops to support strategies for molecular crop breeding
Cornelia M Hooper, Ian R Castleden, Nader Aryamanesh, et al.
Bioinformatics (Oxford, England)
|
August 24, 2014
SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome
Cornelia M Hooper, Sandra K Tanz, Ian R Castleden, et al.
Scientific Reports
|
January 19, 2021
Identifying protein subcellular localisation in scientific literature using bidirectional deep recurrent neural network
Rakesh David, Rhys-Joshua D Menezes, Jan De Klerk, et al.
Molecular Plant
|
November 25, 2019
The Expansion and Diversification of Pentatricopeptide Repeat RNA-Editing Factors in Plants
Bernard Gutmann, Santana Royan, Mareike Schallenberg-Rüdinger, et al.
The Plant Journal : for Cell and Molecular Biology
|
October 13, 2017
Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples
Cornelia M Hooper, Tim J Stevens, Anna Saukkonen, et al.
Page
of 1