Margaret Sunitha

Background

About Margaret Sunitha

Over 5+ years of experience in computational biology research. Focused on various projects in the domains of bioinformatics, predictive modelling, data analytics, computational structural studies of macro-molecular protein complex and protein biochemistry. Associated in different projects related to: Predictive modelling using clinical and gene expression data Immunology/Oncology data analysis Target Ideation Patient stratification based on gene expression data Metagenomics Next generation sequencing/ Big-data analysis Cardiomyopathy disease model Protein structural analysis (coiled-coils, cardiac muscle proteins)/Programming I am passionate about translational research that benefits the drug discovery domain. Practical Exposure Predictive Modelling methods- • Regression (linear, logistic – limma, glm, gmlnet, lasso). • SVM, Random Forest, ANN. • Classification and Clustering methodologies. Bioinformatics methods- • BLAST, FASTA, RASMOL, Swiss-PDB viewer, PYMOL. • MALDI-TOF, ClustalW, MODELLER, Docking tools, MD. • Various other Bioinformatics tools. NGS/Metagenomics analysis methods- • FASTX, FASTQC, SoapDenovo, Velvet assembler. • Megahit, CLARK, PPSP, Megan, MaxBin. Databases- • TCGA, CBioportal, NCBI, SwissProt, GenBank, DDBJ, EMBL, SGD, PIR, Pfam, PDB, Prosite, Pubmed, OMIM, TIFR Computer Skills- • Os – Windows XP, Linux • Language – R, Perl, Python, HTML Protein Biochemistry methods- • Protein purification-high/low salt, affinity chromatography. • Hands on experience-AKTA, TECAN. • SDS-PAGE, UV & visible Spectroscopy.