Charlie Hodgman

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The elucidation of protein function from its amino acid sequence

Charlie Hodgman, C. Hodgman, 1986, Comput. Appl. Biosci..

Inference of the Genetic Network Regulating Lateral Root Initiation in Arabidopsis thaliana

Helen M. Byrne, John R. King, Malcolm Bennett, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A historical perspective on gene/protein functional assignment

Charlie Hodgman, C. Hodgman, 2000, Bioinform..

Editorial: The informatics of post-translational modification and its implications for systems biology

Charlie Hodgman, 2004, Briefings Bioinform..

Instant Notes in Bioinformatics

Andrew P. French, Charlie Hodgman, David Westhead, 2002 .

The implications for Bioinformatics of integration across physical scales

Charlie Hodgman, Y. Ugartechea-Chirino, G. Tansley, 2006, J. Integr. Bioinform..

Inference of Gene Regulatory Networks Using Boolean-Network Inference Methods

Charlie Hodgman, Graham J. Hickman, 2009, J. Bioinform. Comput. Biol..

Simultaneous Modelling of Metabolic, Genetic and Product-interaction Networks

Igor Goryanin, Nick S. Juty, Charlie Hodgman, 2001, Briefings Bioinform..

A new dynamic tool to perform assembly of expressed sequence tags (ESTs)

S. Taylor, Charlie Hodgman, R. W. Gill, 1997, Comput. Appl. Biosci..

Characterizing proteolytic cleavage site activity using bio-basis function neural networks

Zheng Rong Yang, Charlie Hodgman, Rebecca Thomson, 2003, Bioinform..

A systems biology approach to modelling tea (Camellia sinensis)

Charlie Hodgman, Alex Marshall, Sirisha Gollapudi, 2007, BMC Systems Biology.

An Advanced Textbook on Genomic and Proteomic Sciences

Charlie Hodgman, Chungui Lu, Sandra Kirk, 2020 .

A bio-basis function neural network for protein peptide cleavage activity characterisation

Zheng Rong Yang, Charlie Hodgman, Rebecca Thomson, 2006, Neural Networks.

The logic of the floral transition: Reverse-engineering the switch controlling the identity of lateral organs

Etienne Farcot, Charlie Hodgman, Jean-Louis Dinh, 2017, PLoS Comput. Biol..

Combined experimental and computational approaches to study the regulatory elements in eukaryotic genes

Victor G. Levitsky, Nikolay A. Kolchanov, Charlie Hodgman, 2007, Briefings Bioinform..

Assessing the functional coherence of modules found in multiple-evidence networks from Arabidopsis

Christopher J. Rawlings, Michael Defoin-Platel, Artem Lysenko, 2011, BMC Bioinformatics.

Constructing an enzyme-centric view of metabolism

Andrew R. Dalby, Charlie Hodgman, Hugh D. Spence, 2004, Bioinform..

Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review

Jonathan M. Garibaldi, Jianyong Sun, Charlie Hodgman, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Integrative biology - the way forward

Charlie Hodgman, 2007, Briefings Bioinform..

Mathematical simulation and analysis of cellular metabolism and regulation

Igor Goryanin, Charlie Hodgman, Evgeni Selkov, 1999, Bioinform..

Modelling genetic regulation of phosphate uptake in plants

Charlie Hodgman, Ishan Ajmera, Chungui Lu, 2012 .

Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions

Victor G. Levitsky, Nikolay A. Kolchanov, Charlie Hodgman, 2007, BMC Bioinformatics.

The 2nd international conference on the Bioinformatics of Genome Regulation and Structure (BGRS-2000), Novosibirsk, August 2000

Nikolay A. Kolchanov, Charlie Hodgman, 2001, Bioinform..

INTERACT: An Object Oriented Protein-Protein Interaction Database

Norman W. Paton, Karen Eilbeck, Andy Brass, 1999, ISMB.

Gsmodutils: a python based framework for test-driven genome scale metabolic model development

Charlie Hodgman, Jamie Twycross, Rupert Norman, 2018, bioRxiv.

The elucidation of protein function by sequence motif analysis

Charlie Hodgman, C. Hodgman, 1989, Comput. Appl. Biosci..

Genetic algorithm and optimized weight matrix application for peroxisome proliferator response elements recognition: Prerequisites of accuracy growth for wide genome research

Victor G. Levitsky, Nikolay A. Kolchanov, Charlie Hodgman, 2008, Intell. Data Anal..

OsCAND1 is required for crown root emergence in rice.

Ping Wu, Charlie Hodgman, C. Hodgman, 2011, Molecular plant.

Network Inference Analysis Identifies an APRR2-Like Gene Linked to Pigment Accumulation in Tomato and Pepper Fruits1[W][OA]

Charlie Hodgman, Graham Ball, Chungui Lu, 2013, Plant Physiology.

Analysis of Gene Regulatory Networks of Maize in Response to Nitrogen

Charlie Hodgman, Graham Ball, Chungui Lu, 2018, Genes.

Whole genome sequence and manual annotation of Clostridium autoethanogenum, an industrially relevant bacterium

Thomas Millat, Charlie Hodgman, Nigel P. Minton, 2015, BMC Genomics.

Progress towards platform chemical production using Clostridium autoethanogenum.

Thomas Millat, Charlie Hodgman, Klaus Winzer, 2018, Biochemical Society transactions.