Sankarasubramanian Jagadesan Editor at IgMin Research
We focus on encouraging collaboration across disciplines to boost the expansion of knowledge.
Biography
I am Sankarasubramanian Jagadesan working as a Bioinformatics Scientist in University of Nebraska Medical Center. I have published 34 papers (https://scholar.google.com/citations?hl=en&user=CTbV75sAAAAJ). I am expert in Next-generation sequencing and data analysis.
Research Interest
Next-generation sequencing and data analysis (Whole genome and RNAseq), Data analysis in Single-cell RNA, Single-cell ATAC-seq, Single-cell CNV, Comparative genome analysis and metabolic modelling, SNP analysis and Genome-wide association studies (GWAS), Metagenomics, Microarray data analysis, Interaction studies, Docking and Structural studies
Editor
Work Details
Bioinformatics Scientist
University of Nebraska Medical Center
Department of Genetics, Cell Biology & Anatomy
USA
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
- Analysis of the State of Moisture Control to Ensure and Regulate the Quality of Grain and Grain Products
- Wishful Thinking or Valuable Forecasts? The Value of Policy Rate Predictions in Sweden
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
