Welcome to my bioinformatics project repository! This collection showcases how I combine data science skills with my microbiology expertise to tackle biological sequence analysis and phylogenetic studies using Biopython, a powerful library for computational biology.
- Description: Conducted bacterial identification and phylogenetic tree analysis of Vibrio isolates from shrimp ponds.
- Key Methods: BLAST for sequence identification, Biopython, Bio.Phylo module, sequence alignment, pathogenicity studies.
- Description: Analyzed 16S rRNA gene sequences from soil bacterial isolates.
- Key Methods: BLAST for sequence identification, Biopython for sequence processing.
- Description: Constructed a phylogenetic tree for fish species using COI sequences from NCBI GenBank.
- Key Methods: Sequence alignment, tree construction with Biopython Library and FastTree Module, evolutionary analysis.
- Description: Constructed a prediction model based on gene expression data (DNA microarray) to discriminate whether patient's acute leukimia case is considered as AML (Acute Myeloid Leukimia) or ALL (Acute Lymphoblastic Leukimia)
- Key Methods: Principle Component Analysis (PCA), Machine Learning (Binary Classification), Random Forest.
Biopython is an open-source library for computational biology and bioinformatics. It simplifies tasks such as sequence analysis, alignment, and phylogenetic tree construction, making it an indispensable tool for bioinformaticians and researchers.
Biopython helped me bridge my background in wet lab microbiology and fish biology with computational tools, unlocking new insights into biological data.
If you're interested in collaborating on bioinformatics projects or discussing ideas, feel free to connect with me:
- 🔗 ResearchGate