Summary#

Leveraging Python to analyze biological data and explore algorithms to understand living systems.

Key Strengths#

• Utilizing various libraries like Bio, Bio.SeqIO, and numpy to analyze biological data
• Creating custom implementations of known bioinformatic algorithms using dynamic programming tables
• Understanding and calculating scores of genomic sequence alignments
• Evaluating the performance of bioinformatic algorithms

Related Projects#

• Comparing Pattern Matching Algorithms on the Sorangium Cellulosum Genome
• Multiple Sequence Alignment with Custom ClustalW Implementation