Derivation of process algebraic models of biochemical systems

Ritesh V Krishna
Department of Computer Science

2005
A Partial Granger Causality Approach to Explore Causal Networks Derived From Multi-parameter Data

Ritesh Krishna , Shuixia Guo
computational methods in systems biology 9 -27

9
2008
jmzIdentML API: A Java interface to the mzIdentML standard for peptide and protein identification data

Florian Reisinger , Ritesh Krishna , Fawaz Ghali , Daniel Ríos
Proteomics 12 ( 6) 790 -794

27
2012
A guide for integration of proteomic data standards into laboratory workflows

J. Alberto Medina-Aunon , Ritesh Krishna , Fawaz Ghali , Juan P. Albar
Proteomics 13 480 -492

7
2013
The jmzQuantML programming interface and validator for the mzQuantML data standard.

Da Qi , Ritesh Krishna , Andrew R Jones
Proteomics 14 ( 6) 685 -688

8
2014
Large-scale and significant expression from pseudogenes in Sodalis glossinidius – a facultative bacterial endosymbiont

Ian Goodhead , Frances Blow , Philip Brownridge , Margaret Hughes
Microbial genomics 6 ( 1)

5
2020
Hierarchically Labeled Database Indexing Allows Scalable Characterization of Microbiomes.

Filippo Utro , Niina Haiminen , Enrico Siragusa , Laura-Jayne Gardiner
iScience 23 ( 4) 100988

6
2020
A partial Granger causality based method for analysis of parameter interactions in bioreactors

Ritesh Krishna , Satyadarshi Nanda , Abhijit Kulkarni , Sangameshwar Patil
Computers & Chemical Engineering 35 ( 1) 121 -126

3
2011
ProteoAnnotator--open source proteogenomics annotation software supporting PSI standards.

Fawaz Ghali , Ritesh Krishna , Simon Perkins , Andrew Collins
Proteomics 14 2731 -2741

42
2014
A large-scale proteogenomics study of apicomplexan pathogens-Toxoplasma gondii and Neospora caninum.

Ritesh Krishna , Dong Xia , Sanya Sanderson , Achchuthan Shanmugasundram
Proteomics 15 ( 15) 2618 -2628

13
2015
Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity

Laura-Jayne Gardiner , Anna Paola Carrieri , Jenny Wilshaw , Stephen Checkley
Scientific Reports 10 ( 1) 9522

11
2020
Accelerating molecular discovery through data and physical sciences: Applications to peptide-membrane interactions.

Flaviu Cipcigan , Anna Paola Carrieri , Edward O. Pyzer-Knapp , Ritesh Krishna
Journal of Chemical Physics 148 ( 24) 241744

9
2018
Interaction Based Functional Clustering of Genomic Data

Ritesh Krishna , Chang-Tsun Li , Vicky Buchanan-Wollaston
bioinformatics and bioengineering 130 -137

1
2009
A temporal precedence based clustering method for gene expression microarray data

Ritesh Krishna , Chang-Tsun Li , Vicky Buchanan-Wollaston
BMC Bioinformatics 11 ( 1) 68 -68

10
2010
The sequence of a male-specific genome region containing the sex determination switch in Aedes aegypti

Joe Turner , Ritesh Krishna , Arjen E. van’t Hof , Elizabeth R. Sutton
Parasites & Vectors 11 ( 1) 549

2
2018
Listen to Genes: Dealing with Microarray Data in the Frequency Domain

Jianfeng Feng , Dongyun Yi , Ritesh Krishna , Shuixia Guo
PLoS ONE 4 ( 4) e5098

11
2009
Re-purposing software for functional characterization of the microbiome

Laura-Jayne Gardiner , Niina Haiminen , Filippo Utro , Laxmi Parida
Microbiome 9 ( 1) 1 -12

1
2021
Tools (Viewer, Library and Validator) that Facilitate Use of the Peptide and Protein Identification Standard Format, Termed mzIdentML

Fawaz Ghali , Ritesh Krishna , Pieter Lukasse , Salvador Martínez-Bartolomé
Molecular & Cellular Proteomics 12 ( 11) 3026 -3035

33
2013
Stage-specific proteomes from Onchocerca ochengi, sister species of the human river blindness parasite, uncover adaptations to a nodular lifestyle

Stuart D. Armstrong , Dong Xia , Germanus S. Bah , Ritesh Krishna
Molecular & Cellular Proteomics 15 ( 8) 2554 -2575

17
2016