Narendra Kumar, PhD
Sr. Bioinformatics Scientist at Elucidata- Claim this Profile
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Hindi Native or bilingual proficiency
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English Full professional proficiency
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Bio
Credentials
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Communication Foundations
LinkedInSep, 2020- Nov, 2024 -
Interpersonal Communication
LinkedInSep, 2020- Nov, 2024 -
Project Management Foundations
LinkedInSep, 2020- Nov, 2024 -
Data Manipulation with Pandas
Data CampJun, 2020- Nov, 2024 -
Network Analysis in Python (Part 2)
DataCampJun, 2019- Nov, 2024 -
Network Analysis in Python (Part 1)
DataCampJul, 2017- Nov, 2024 -
Python Data Science Toolbox (Part 1)
DataCampJun, 2017- Nov, 2024 -
Python Data Science Toolbox (Part 2)
DataCampJun, 2017- Nov, 2024 -
Statistical Thinking in Python (Part 1)
DataCampJun, 2017- Nov, 2024 -
Deep Learning in Python
DataCamp -
Supervised Learning with scikit-learn
DataCamp
Experience
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Elucidata
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United States
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Software Development
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100 - 200 Employee
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Sr. Bioinformatics Scientist
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Mar 2021 - Present
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Jaypee University of Information Technology
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Higher Education
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100 - 200 Employee
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Assistant Professor
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Dec 2017 - Mar 2021
- Produced and planned audio-visual resources and delivered lectures for 9 bioinformatics theory courses for last three years - Designed laboratory practical, provided instructions and managed performance of 50 students for 6 lab courses amounting to total contact hours of 250 over 6 semesters. - Mentored, supervised and managed 20 undergraduate and postgraduate students in multidisciplinary bioinformatics projects. Teaching: Courses in Bioinformatics - Programming Languages, Computational Genomics, Biological Computation, and Structural Bioinformatics, Programming Languages for Bioinformatics, R Research: - Computational Genomics, Data Mining, Computational Software development Show less
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Worked from home
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New Delhi Area, India
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Professional Freelancer (NGS Data Analysis)
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Jan 2017 - Nov 2017
• Setup and maintained Google Cloud-based NGS Data analysis pipelines and tools up to date with various genomic resources for ChIP-seq, RNA-seq, and differential gene expression analysis. • Provided custom solutions for data analysis needs • Setup and maintained Google Cloud-based NGS Data analysis pipelines and tools up to date with various genomic resources for ChIP-seq, RNA-seq, and differential gene expression analysis. • Provided custom solutions for data analysis needs
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University of Glasgow
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United Kingdom
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Higher Education
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700 & Above Employee
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Postdoctoral Computational Biologist (chromatin epigenetics)
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May 2013 - Oct 2016
- Successfully established and managed computational infrastructure in an experimental lab, including purchasing, installing, and managing 4 workstations, networking, data storage/backup, and software procurement and installations. - Professional awareness and planning as demonstrated by collaborating across 3 projects to develop NGS analysis pipelines and tools for detecting DNA-binding sites, and RNA-seq based differential analysis in human genome. Roles and accomplishments: - Developed/maintained/improved the ChIP-seq data analysis pipeline and use it to process in house and relevant public data. - Developed new computational tools for hypothesis generation that could be used by lab members for experimental testing. - Provided bioinformatics support for studies of chromatin structure and function. - Maintained data storage and backups. - Conducted research and maintained the knowledge-base of relevant computational methodologies and tools, and used them for current research projects. - Providing bioinformatic advice to researchers in the group. Project: Investigating the role of erythroid transcription factors in K562 cells. Project highlights: • ChIP-seq analysis of in-house and publicly available NGS data. • Genome-wide identification of regulatory elements such as enhancers using clustering methods. • Investigating possible role of TF binding motifs arrangement in gene regulation. • RNA-seq data analysis for differential gene expression in knock-out cells. Project: Identifying chromatin boundaries. Project highlights: • Profiling various histones modifications in chromatin. • DNaseDGF and nucleosome data analysis for identification of chromatin boundries. Show less
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Georgia Institute of Technology
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United States
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Higher Education
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700 & Above Employee
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Postdoctoral Research Scientist
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Sep 2010 - Jan 2013
- Developed EFICAz2.5, a sequence based enzyme function prediction server, and applied to 373 proteomes resulting in a quality publication and commercialization of software. - Collaborated in lab projects to construct molecular models of whole enzyme complement of human proteome, and developed a computational metabolomics approach. Webservers Developed / Contributed 1. EFICAz2.5: A High Precision enzyme function prediction program ( http://pwp.gatech.edu/cssb/eficaz2-5/ ) 2. A Genome-Wide Enzyme Function Annotation Database ( http://cssb.biology.gatech.edu/enzymes ) 3. SUNPRO: A Database of Structure & FUNction Predictions of Proteins from Representative Organisms ( http://cssb.biology.gatech.edu/genome/index.html ) Show less
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NII - National Institute of Immunology
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Research Services
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100 - 200 Employee
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Research Associate
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Jan 2010 - Aug 2010
- Planned and timely performed modelling of pfCDPK1 in active and inactive conformations in Plasmodium falciparum malarial parasite resulting in a publication. - Team worked and developed the structural visualization module of SBSPKS, a popular webserver for analysis of antibiotic synthesis that resulted in a high quality publication. Contribution to Web-server:SBSPKS: structure based sequence analysis of polyketide synthases (http://www.nii.ac.in/sbspks.html)
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Doctoral Thesis
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Jul 2003 - Dec 2009
Thesis title: Modeling protein-peptide complexes using rotamer library approach: application to prediction of substrates for MHC and kinases (Supervisor: Dr. Debasisa Mohanty )Project highlights:• Developed a structure based program for identification of substrates for protein kinases and MHC proteins.• The program models protein-peptide complexes by rotamer library approach and scores substrates using residue based statistical pair-potential/. MM/PBSA approach.• The program has been benchmarked on known substrates of protein kinase and MHC proteins. Show less
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Education
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NII - National Institute of Immunology
PhD, Computational Biology, Bioinformatics, Immunulogy, Molecular Biology -
Delhi University, Dr BR Ambedkar Center for Biomedical Research
MSc, Biomedical Sciences -
Delhi University, SGTB Khalsa College, North Campus
BSc, Zoology, Botany and Chemistry -
Siddharth International Public School - India