Debmalya Barh

发表

General and Technical Aspects

Mukesh Verma, Debmalya Barh, Angelo Carpi, 2014 .

GO FEAT: a rapid web-based functional annotation tool for genomic and transcriptomic data

Debmalya Barh, Artur Silva, Luis Guimarães, 2018, Scientific Reports.

Computational Techniques in Data Integration and Big Data Handling in Omics

Debmalya Barh, Vasco Azevedo, Rommel Thiago Jucá Ramos, 2018 .

Determining miRNA-disease associations using bipartite graph modelling

Neha Jain, Preetam Ghosh, Debmalya Barh, 2013, BCB.

Protein-Protein Interactions: An Overview

Debmalya Barh, Vasco Azevedo, Syed Babar Jamal, 2019, Encyclopedia of Bioinformatics and Computational Biology.

In silico disease model: from simple networks to complex diseases

Debmalya Barh, Preetam Ghosh, Atanu Bhattacharjee, 2020, Animal Biotechnology.

Optimization of enzymatic hydrolysis of prairie cordgrass for improved ethanol production

Debmalya Barh, Vasudeo Zambare, Archana Zambare, 2012 .

Future Perspective: Paving a Path to Optimization of Health

Debmalya Barh, Margaret A. Madigan, Kenneth Blum, 2011 .

An improved interolog mapping-based computational prediction of protein-protein interactions with increased network coverage.

Ney Lemke, Debmalya Barh, Rafaela Salgado Ferreira, 2014, Integrative biology : quantitative biosciences from nano to macro.

The World of Omics and Applications in Biomedical Sciences

Debmalya Barh, Vasudeo Zambare, Vasco Azevedo, 2013 .

miReg: a resource for microRNA regulation

Debmalya Barh, Dattatraya Bhat, Cedric Viero, 2010, J. Integr. Bioinform..

In silico Identification of Candidate Drug and Vaccine Targets from Various Pathways in Neisseria gonorrhoeae

Anil Kumar, Debmalya Barh, D. Barh, 2009, Silico Biol..

Determining influential miRNA targets in diseases using influence diffusion model

Preetam Ghosh, Debmalya Barh, Vasco Azevedo, 2015, BCB.

miRsig: a consensus-based network inference methodology to identify pan-cancer miRNA-miRNA interaction signatures

Debmalya Barh, Vasco Azevedo, Preetam Ghosh, 2017, Scientific Reports.

Towards a Comprehensive Understanding of miRNA Regulome andmiRNA Interaction Networks

Debmalya Barh, Preetam Ghosh, Joseph J. Nalluri, 2016 .

Simplifier: a web tool to eliminate redundant NGS contigs

Debmalya Barh, Vasco Azevedo, Artur Silva, 2012, Bioinformation.

Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19

M. Michael Gromiha, Debmalya Barh, Preetam Ghosh, 2020, Computers in Biology and Medicine.

Graphical contig analyzer for all sequencing platforms (G4ALL): a new stand-alone tool for finishing and draft generation of bacterial genomes

Debmalya Barh, Vasco Azevedo, Artur Silva, 2013, Bioinformation.

Omics Approaches in Toxicology Research and Biomedical Applications

Debmalya Barh, Vasco Azevedo, Nestor López-Corrales, 2011 .

Chapter 21 In Silico Models From Simple Networks to Complex Diseases

Debmalya Barh, Emmanuel Oluwatobi Salawu, Vasco Azevedo, 2014, Animal Biotechnology.

In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks

Preetam Ghosh, M. Michael Gromiha, Debmalya Barh, 2016, BMC Systems Biology.

In Silico Protein-Protein Interactions: Avoiding Data and Method Biases Over Sensitivity and Specificity.

Debmalya Barh, Rafaela Salgado Ferreira, Vasco Azevedo, 2015, Current protein & peptide science.

SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology

Preetam Ghosh, Debmalya Barh, Vasco Azevedo, 2016, BMC Bioinformatics.

Next-Generation Sequencing and Data Analysis: Strategies, Tools, Pipelines and Protocols

Debmalya Barh, Vasco Azevedo, Adonney A. O. Veras, 2018 .

Conserved host-pathogen PPIs. Globally conserved inter-species bacterial PPIs based conserved host-pathogen interactome derived novel target in C. pseudotuberculosis, C. diphtheriae, M. tuberculosis, C. ulcerans, Y. pestis, and E. coli targeted by Piper betel compounds.

Preetam Ghosh, Amjad Ali, Jan Baumbach, 2013, Integrative biology : quantitative biosciences from nano to macro.

PlantOmics: The Omics of Plant Science

Debmalya Barh, Eric Davies, D. Barh, 2015, Springer India.

Genomic Target Database (GTD): A database of potential targets in human pathogenic bacteria

Debmalya Barh, Anil Kumar, Amarendra Narayana Misra, 2009, Bioinformation.

Let-7, miR-125, miR-205, and miR-296 are prospective therapeutic agents in breast cancer molecular medicine

Debmalya Barh, D. Barh, S. Parida, 2008 .

An integrated structural proteomics approach along the druggable genome of Corynebacterium pseudotuberculosis species for putative druggable targets

Amjad Ali, Javed Ali, Debmalya Barh, 2015, BMC Genomics.

DISMIRA: Prioritization of disease candidates in miRNA-disease associations based on maximum weighted matching inference model and motif-based analysis

Preetam Ghosh, Debmalya Barh, Bhanu K. Kamapantula, 2015, BMC Genomics.

Determining causal miRNAs and their signaling cascade in diseases using an influence diffusion model

Preetam Ghosh, Debmalya Barh, Thang N. Dinh, 2017, Scientific Reports.

Quantitative Electroencephalography Analysis (qEEG) of Neuro-Electro-Adaptive Therapy 12™ [NEAT12] Up-Regulates Cortical Potentials in an Alcoholic during Protracted Abstinence: Putative Anti-Craving Implications

Debmalya Barh, Kenneth Blum, K. Blum, 2015, Journal of addiction research & therapy.

Omics Approaches in Breast Cancer

Debmalya Barh, D. Barh, 2014 .

A Novel Comparative Genomics Analysis for Common Drug and Vaccine Targets in Corynebacterium pseudotuberculosis and other CMN Group of Human Pathogens

Amjad Ali, Debmalya Barh, Vasco Azevedo, 2011, Chemical biology & drug design.

Microbial Omics: Applications in Biotechnology

Debmalya Barh, Sintia Almeida, Siomar de Castro Soares, 2018 .

Exoproteome and Secretome Derived Broad Spectrum Novel Drug and Vaccine Candidates in Vibrio cholerae Targeted by Piper betel Derived Compounds

Debmalya Barh, Neha Barve, Anderson Miyoshi, 2013, PloS one.