Manasa Dasari

Bioinformatics Analyst | Genomics, Transcriptomics & Computational Biology

Hyderabad, HyderabadMember since March 11, 2026

Whole Genome Sequencing (WGS)Whole Exome Sequencing (WES)RNA-seqSingle-cell RNA-seqTranscriptome assemblyVariant analysisChromosomal microarrayBacterial genome assemblyMetagenomicsGATKBWA-MEMNextflowTrinityHISAT2FeatureCountsSalmonDESeq2limmaSeuratGenomeStudioVelvetSSPACEGapCloserPythonLinuxBash

About

Bioinformatics Analyst with experience in whole-exome and whole-genome sequencing, RNA-seq, transcriptome assembly, variant analysis, chromosomal microarray analysis, bacterial genome assembly, metagenomics, and single-cell RNA-seq. Strong hands-on experience with NGS pipelines, genomic data interpretation, and computational analysis using Python, R, Linux/Bash, Nextflow, and GATK. Research experience also includes protein-target identification and computational docking.

Experience

Bioinformatics Analyst - Sandor Speciality Diagnostics Pvt.

(2023-06 - 2025-09)

Analyzed >300 Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS) samples using automated Nextflow workflows integrating GATK Best Practices, BWA-MEM alignment, automated QC, gene-coverage evaluation, and GATK CNV cohort analysis with a Panel of Normals.
Automated scalable workflows using Bash and SLURM for high-throughput processing on HPC clusters, including dynamic CPU/RAM allocation and job scheduling.
Performed variant identification, classification using ACMG guidelines, biological interpretation, clinical relevance assessment, and WES reporting.
Performed chromosomal microarray analysis for chromosomal abnormalities and structural variants using GenomeStudio.
Analyzed 50+ RNA-seq datasets using Trinity, HISAT2, FeatureCounts, Salmon, DESeq2, and limma for transcriptome assembly, alignment, quantification, and differential expression.
Performed whole bacterial genome assembly and analysis using Velvet, SSPACE, GapCloser, and assembly QC.

Research Trainee - RASA Life Science, Pune

(2022-04 - 2022-11)

Analyzed transcriptional profiles of H. schachtii-infected and noninfected suvh5/suvh6 mutants compared with Col-0 wild type.
Studied NGS applications in Arabidopsis thaliana–Pseudomonas syringae plant–pathogen interactions and computational detection of resistance genes.

Bioinformatics Research Project - UT Southwestern Medical Center

Analyzed immune-cell dynamics in the tumor microenvironment using Bulk RNA-seq and single-cell RNA-seq pipelines.
Used Seurat, DESeq2, R, and Python for transcriptomic analysis, marker identification, and pathway-oriented interpretation.