Dr Ian Castleden
- Database/Systems Engineer, The University Of Western Australia
- group: millar
Biography:
Looking at improving subcellular localisation predictions using Adaptive learning.
Research:
Scientific Databases. Plant organelle metabolic networks. Biological Query languages. Bayesian Neural networks. Potts models
Contact Info:
- hover or click to show email address
- https://suba.live
Year | Publication | Online |
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2021
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(2021)
Identifying protein subcellular localisation in scientific literature using bidirectional deep recurrent neural network.
SCI REP
11(1):1696.
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2020
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(2020)
The Expansion and Diversification of Pentatricopeptide Repeat RNA-Editing Factors in Plants.
Mol Plant
13(2):215-230.
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2020
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(2020)
CropPAL for discovering divergence in protein subcellular location in crops to support strategies for molecular crop breeding.
Plant J
104(3):812-827.
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2017
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(2017)
SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations.
NUCLEIC ACIDS RES
45(D1):D1064-D1074.
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2017
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(2017)
Protein Degradation Rate in <i>Arabidopsis thaliana</i> Leaf Growth and Development.
Plant Cell
29(2):207-228.
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2017
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(2017)
Multiple marker abundance profiling: combining selected reaction monitoring and data-dependent acquisition for rapid estimation of organelle abundance in subcellular samples.
Plant J
92(6):1202-1217.
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2016
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(2016)
Redefining the structural motifs that determine RNA binding and RNA editing by pentatricopeptide repeat proteins in land plants.
PLANT J.
85(4):532-47.
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2016
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(2016)
Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL).
Plant Cell Physiol
57(1):e9.
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2014
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(2014)
Selected reaction monitoring to determine protein abundance in Arabidopsis using the Arabidopsis proteotypic predictor.
Plant Physiol
164(2):525-36.
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2014
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(2014)
Using the SUBcellular database for Arabidopsis proteins to localize the Deg protease family.
FRONT PLANT SCI
Aug 12;5:396.
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2014
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(2014)
SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome
BIOINFORMATICS
1;30(23):3356-64.
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2013
|
(2013)
SUBA3: a database for integrating experimentation and prediction to define the SUBcellular location of proteins in Arabidopsis
NUCLEIC ACIDS RES
41(Database issue):D1185-91.
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2013
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(2013)
Fluorescent protein tagging as a tool to define the subcellular distribution of proteins in plants.
FRONT PLANT SCI
4:214.
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2013
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(2013)
Rice DB: an Oryza Information Portal linking annotation, subcellular location, function, expression, regulation, and evolutionary information for rice and Arabidopsis.
Plant J
76(6):1057-73.
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2011
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(2011)
MASCP Gator: an aggregation portal for the visualization of Arabidopsis proteomics data.
Plant Physiol
155(1):259-70.
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2010
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(2010)
Common and distinct organ and stress responsive transcriptomic patterns in Oryza sativa and Arabidopsis thaliana.
BMC Plant Biol
10:262.
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2009
|
(2009)
A survey of the Arabidopsis thaliana mitochondrial phosphoproteome.
Proteomics
9(17):4229-40.
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2008
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(2008)
Novel proteins, putative membrane transporters, and an integrated metabolic network are revealed by quantitative proteomic analysis of Arabidopsis cell culture peroxisomes.
Plant Physiol
148(4):1809-29.
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