Mathavan Muthaiyan
LifeCell International Pvt Ltd, Nucleome Informatics, Pondicherry University, PRIST University, Bharathidasan University
0000-0002-4885-203X
About
I have completed my Ph.D. in Bioinformatics at the Department of Bioinformatics, Pondicherry Central University. My thesis is entitled “Comprehensive Analysis of Zaire ebolavirus – Human Interaction for Understanding of Disease Mechanism and Drug Re-Purposing”, supervised by Dr. Amouda, Assistant Professor, Centre for Bioinformatics, Pondicherry University.
My doctoral research centers on the identification of differentially expressed genes and long non-coding RNAs of Zaire ebolavirus infected human cell lines. The analyses have been done using gene expression data (microarray and Next Generation Sequencing data). An Ebola-specific database called Ebolabase is also developed in the context of the Ebola virus–human interaction and drug re- proposing. I consider my technical skills, working in a team, independently, teaching, and practical mentoring will be a suitable fit to work under consideration of your team as a member. I would love to develop and deepen my knowledge of Next Generation Sequencing data analysis and Machine learning approach concepts in modern era use and applications. I have been working as a Bioinformatics scientist in Nucleome Informatics since Apr 2021.
Research Interest
• Investigating Human-Virus interaction
• LncRNA identification and functional characterization
• Hub genes and Biomarker identification (TCGA)
• Drug re-purposing
• Genome Assembly
• Grant Writing
• Clinical Exome / Whole Exome Analysis
• Writing SOPs and Logs
Employment
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LifeCell International Pvt Ltd Bioinformatics Scientist2022 - Present
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Nucleome Informatics Bioinformatics Scientist2021 - 2022
Education
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Pondicherry University PhD Bioinformatics2014 - 2022
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PRIST University M.Phil2010 - 2011
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Bharathidasan University M.Sc.,2004 - 2006
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University of Madras B.Sc.,2001 - 2004
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- A metagenomic exploration of microbial distribution among the pond sediment, shrimp (Penaeus monodon) tissue and pond water: A special focus on nutrient cycling and shrimp viral pathogens Save
- Identification of potential key genes related to idiopathic male infertility using RNA-sequencing data: an in-silico approach Save
- Network-based meta-analysis for the identification of potential target for human anaplastic thyroid carcinoma Save
- Understanding of Zaire ebolavirus–human protein interaction for drug repurposing Save
- Comprehensive analysis of dysregulated lncRNAs and their competing endogenous RNA network in triple-negative breast cancer Save
- Identification of dysregulated miRNAs in triple negative breast cancer: A meta‐analysis approach Save
- Integrated network analysis and machine learning approach for the identification of key genes of triple-negative breast cancer Save
- Identification of Hub Genes and Pathways in Zika Virus Infection Using RNA-Seq Data: A Network-Based Computational Approach Save
- ZikaBase: An integrated ZIKV- Human Interactome Map database Save