I am a Ph.D student with research experience in experimental & computational genomics, next-generation DNA/RNA sequencing, and transposable element analysis. Currently, I am interested in computational biology methods and their applications to understand genomics, genetics, and molecular biology. I am always looking to connect people in related fields to explore research opportunities.

Skills

Programming
- Languages (R, Python, Bash Scripting, Perl)
- Workflow management system ( Nextflow, Snakemake)
- Containerisation tool (Docker)
- Cloud computing (AWS, Galaxy)
- Version control system (git, GitHub)
- Data visualization (ggplot2, Plotly, IGV)
- Document preparation system (LATEX, RMarkdown)
- Tools (AWS Cloud9, Rstudio, Pycharm, Visual Studio code)

Computational Biology
- Downstream sequence data analysis of (illumina, Oxford Nanopore)
- WGS (FastQC, SPAdes, QUAST, PROKKA)
- RNAseq (Trinity, RSEM, edgeR, Trinotate)
- Repeats Analysis (RepeatModeler, RepeatMasker, RepeatExplorer2, MISA, GMATA)
- Variant calling ( GATK, BWA, VarScan, SnpEff, ClinVar, Mutalyze, VariantValidator, Ensembl VEP )
- Micro Array data analysis (GEO, ArrayExpress, limma/Bioconductor)
- Genomic databases (Rice Genome Annotation Project Database, Ensembl)
- Phylogenetic Analysis (MEGA X)
- Molecular Docking (AudoDock Vina)
- Molecular Simulation (GROMACS)
- Digital Image Analysis (ImageJ, Fiji, & CellProfiler)