Basilin Benson Email & Phone Number

Bellevue, WA, US

Seattle, Washington, United States

• Actively involved in several Bulk RNAseq project for Tuberculosis and Asthma data and currently working on Single Cell RNAseq(scRNAseq) project for Bladder Cancer data by running Bioinformatics analysis and manuscript.
• Implemented Bioinformatics pipeline to process raw RNAseq fastq file to counts table using various tools like FastQC, AdapterRemoval, STAR, samtools, Picard and Subread.
• Performed Bioinformatics Analysis on the processed RNAseq data using various R packages to guide the lab research group in analyzing and explaining project question better using plots and summary tables.
• The Bioinformatics methods include various plots using ggplot to QC the data, Differentially Expressed Gene Analysis using Limma and linear mixed model using lme4. Also ran Module analysis using WGCNA (Weighted.
• Collaborated in developing a Snakemake pipeline to run the preprocessing step of Raw Fastq RNAseq data to counts table which improved efficiency and made it more accessible to use for the lab group.
• Collaborated in creating a collection of R packages which can perform multiple different downstream Bioinformatics analysis on RNAseq data.

Greater San Diego Area

• Worked on 16s rRNA data of mouse gut microbiome and performed a time series analysis using R and python packages.
• Performed sound statistical and machine learning analysis like CAP, CCA, PCOA, correlation table, random forest algorithm, log2 fold test on deseq2.
• Developed a Python package to extract barcodes from gzipped Fastq files using Biopython creating separate sequence and barcode fastq file which is essential for the NGS data analysis pipeline.
• Implemented Machine Learning methods like k means clustering, Multiple layer Neural Network using keras and Random forest algorithm in R and Python. Performed comparative analysis between the Machine learning.

• Corresponded directly with the clients and trained the team according to their requirements and HIPAA regulations.
• Expanded the team by bringing in a new project and successfully training them to the satisfaction of the client.
• Managed a team of 10 people, making sure they were able to maintain production level and quality set by the client.

Navi Mumbai

• Using various Bioinformatics and Modelling tools on CA9: In the project different inhibitors are identified that could potentially block tumor growth.
• A total of 97 compounds were retrieved from literature review from NCBI and EMBL.
• CA IX receptor was retrieved from PDB database and the Chain ‘A’ was extracted using Swiss PDB viewer.
• Pharmacophoric point of the 97 compounds using Pharmagist.
• The 97 ligands were docked to the CA IX receptor using IGEM dock, FlexX and Vlife MDS.
• QSAR models were created using COMBINE and 2D QSAR in Vlife MDS. This data can further be used for drug designing.

Master'S Degree, Bioinformatics, 3.83

Bachelor Of Technology - Btech, Bioinformatics, 3.2