01
Computational Genomics
Genome-scale analysis, comparative approaches, genomic variation and reproducible computational workflows.
genomicscomparativevariation
Bioinformatics · Computational Biology
Biology,decoded.
I'm Gurgen Karapetyan, a Bioinformatics Data Engineer and Computational Biologist working across genomics, NGS, RNA-seq, metagenomics, molecular biology and microbiology.
GKgenome → signal → meaning
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✓ Gurgen Karapetyan
✓ Bioinformatics Data Engineer
✓ Computational Genomics · NGS · Metagenomics
01 / Research map
Where computation meets biology.
I work across multiple biological scales, from sequencing quality and transcriptomics to microbial genomes, comparative genomics and molecular mechanisms.
02
NGS & Quality Analytics
Sequencing performance, QC metrics, stability monitoring and investigation of technical variation.
NGSQCreproducibility
03
RNA-seq & Transcriptomics
Expression analysis, transcriptome-level signals and workflow quality interpreted in biological context.
RNA-seqexpression
04
Metagenomics
Microbial communities, genome-resolved analysis and computational exploration of complex microbiome data.
microbiomemicrobial genomics
05
Molecular Biology
DNA repair, genome stability and oxidative-stress biology viewed through computational evidence.
DNA repairgenome stability
06
Microbiology
Microbial evolution, strain-level genomics and phenotype-linked questions in bacterial systems.
bacteriaevolutionstrains
02 / Selected projects
Projects with a biological question at the center.
01
Comparative genomics · Microbiology
Lactobacilli oxidative-stress genomics
Comparative analysis of oxidative-stress response, DNA-repair systems and genome-level variation across probiotic Lactobacillus species.
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02
Metagenomics · Data workflows
Framework for Mapping
A reproducible computational framework for analysis and mapping of gut microbial taxa across large microbiome datasets.
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03
Sequencing analytics · QC
Sequencing performance & reproducibility
Multi-metric monitoring and analytical investigation of sequencing quality, technical stability and assay performance.
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03 / Stack
From raw data to evidence.
A mixed toolkit spanning data engineering, statistics and domain-specific bioinformatics.
Engineering
PythonBashSQLGitLinuxJupyterAWS
Data
pandasNumPydata QCvisualizationautomationworkflow design
Bioinformatics
NGSRNA-seqmetagenomicscomparative genomicsmicrobial genomicsIGV
04 / Connect