Research & Skills

Background: Computational Biology, Molecular Biophysics, Bioinformatics, Statistical Mechanics, Physical Chemistry, Chemical Physics.

Hands-on expertise:
 
Modeling: Molecular Simulations and Modeling, Stochastic Modeling, Protein Sequence-Structure Prediction, de novo Protein Design, Statistical Modeling of in vitro/ex vivo Data

Data Analysis: Analysis of Next-Generation-Sequencing Omic Data, Algorithm Development, Building Bioinformatics Pipelines, Statistical Analysis, Machine Learning, Network Analysis.

Computer Languages: 
    • Programming: Fortran90, Python, Matlab, Mathematica.
    • Scripting: Tcl, Shell-scripting, Perl, awk
    • Markup: LaTeX, bibTeX, Html.


      Applications:
      • Molecular Simulation Package (GROMACS , CAMPARI) 
      • Molecular Modeling and Visualization (VMD, PYMOL, ChemDraw)
      • Computational Chemistry Software (GAMESS)
      • Genomic Data Viewer (IGV)
      • Genomic Data Manipulation & Analysis (Samtools, Bedtools, Picard)
      • RNA-Seq Data Analysis (Bowtie, Tophat, Cufflinks, DeSeq2)
      • Network Analysis Software (Cytoscape ) 
      • Bioinformatics Software (Jalview)
      • Homology Modeling: (SWISS-MODEL, MODELLER)
      • Operating Systems (Linux, MS-Windows, Mac)
      • Graphics Editing (Adobe Photoshop & Illustrator)
      • Data Analysis and Data Acquisition (Origin, LabView)
      • MS office suite, Xwin32, FTP software.
      • Plotting (Xmgrace, Xfig, gnuplot)