Narendra is an assistant professor at Jaypee University of Information Technology, Waknaghat, India. He specializes in computational biology and bioinformatics, and teaches undergrad and masters level degree courses. His research work focuses on discerning genome organization and its role in gene expression regulation. He takes data centric approach and uses high throughput “omics data” from public sources to understand biological processes. Narendra leverages his previous work in modelling intermolecular interactions to identifying targets and roles of important molecular players in genomes. He is interested in developing new computational tools in bioinformatics and computational biology, and has years of experience in programming in Perl, Python and R.
Narendra has previously worked in the fields of enzyme function prediction and molecular interaction as a postdoctoral fellow at Georgia Institute of Technology, Atlanta, US. Further, he worked at the Institute of Cancer Sciences, University of Glasgow, UK, where he studied genome organization and gene regulation in human using the Next Generation Sequencing technologies. He has developed a number of bioinformatics tools and published his research in peer-reviewed journals.
Narendra is always interested in learning new tools and techniques in Data Sciences and Data Visualization. He loves digital photography and fine arts. Some of his clicks could be found here.
PhD in Computational Biology, 2010
National Institute of Immunology
MSc in Biomedical Sciences, 2003
Dr B R Ambedkar Center for Biomedical Research, University of Delhi
BSc in Biological Sciences, 2001
SGTB Khalsa College, University of Delhi
I employ computational tools to understand regulatory aspects of gene expression and the role of chromatin architecture in it. I Find transcription factor targets, their modifications, interactions and accessibility using technology driven data such as Next Generation Sequencing.
Molecular modeling of proteins, peptides and small molecules. Model binding interactions of receptors with their substrates and predict biological function.
Automate and integrate biological data collection from public databases, pre-process, cluster, extract features, apply statistics and model. A data science enthusiast.
I use Python as language of choice for programming. I am teaching introductory Python and Perl at he university. I am Using Jupyter and iPython extensively for teaching, and have build many applications that are hosted on Github.
I use R for Graphics and bioconductor packages. I also teach introductory R to undergrads.
It is my operating system of choice. I love command line and shell enviromment. Vi is my editor of choice although also I am also exploring Atom currently.
Some of my programs are hosted here. This site is also running on GitHub. I am in the process of documenting my code (sphinx) and to host it on hg-pages branch of code repository on GitHub.
I am running virtual machines complete with essential genomic data processing tools such as Samtools, Bamtools, FastqC, Meme-suite, Bowtie2, Tophat, Cummerbund etc while maintaining static genome builds on separate disk.
I use matplotlib in R and Python for data plotting. Exploring tableau currently.
I do Molecular Dynamics Simulation of biomolecules using Amber suite of programs. I have used it mainly for protein-protein, protein-dna interactions and binding affinities calculations.
Artificial neural networks and deep learning using scikit-learn library. Support vector mahines.
Hobbyist. Always learning new tricks and techniques. HDR and long exposure are my favourites.
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Past and Present
Projects undertaken at various places and software tools developed while working on them. The code of some of the tools is hosted on the GitHub.
*ChIP-seq read alignment and processing pipeline
Enzyme Function Inference by a Combined Approach
Meta-analysis of genomic features
MODPROPEP is a structure based program for analysis and prediction of substrates for protein kinases and MHC proteins
A local resource for archiving and retrieval of peer-reviewed research articles
RNA-seq paired end read alignment and processing pipeline
Structure based sequence analysis of polyketide synthases. (Contributed to Structural Modules)
A Database of Structure & FUNction Predictions of Proteins from Representative Organisms.
SVM based identification of TF binding sites
I have developed and taught following B. Tech. courses at Jaypee University of Information Technology, Waknaghat, India.