With a strong foundation in bioinformatics and molecular biology, I am a dedicated researcher with a passion for leveraging computational tools to address complex biological questions. My expertise lies in:
Data Analysis and Interpretation: Proficient in analyzing large-scale genomic, transcriptomic, and proteomic datasets using a variety of bioinformatics tools and programming languages (Python, R, Perl, Bash).
Machine Learning and Statistical Modeling: Experienced in applying machine learning techniques to biological data, including model development, training, evaluation, and interpretation.
High-Performance Computing: Skilled in utilizing high-performance computing resources to efficiently process and analyze large datasets.
Genome Analysis: Expertise in genome assembly, annotation, and variant analysis.
Transcriptomics: Proficient in RNA-seq analysis, differential expression analysis, and alternative splicing analysis.
Epigenomics: Experience in analyzing ChIP-seq, ATAC-seq, and other epigenomic data.
Metagenomics: Knowledge of microbial community analysis and functional profiling.
I have a proven track record of collaborating with researchers from diverse fields, including biology, chemistry, and medicine. I am highly motivated, detail-oriented, and possess excellent communication and problem-solving skills. My goal is to contribute to cutting-edge research and develop innovative solutions to complex biological challenges.
Work Terms
the specifics can be discussed in detail at o.nath.mail@gmail.com