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Bacteriophage Taxonomy. Nicholas Celms San Diego State University Funded in part by NSF 0827278 UBM Interdisciplinary Training in Biology and Mathematics. Goal. Algorithm for finding relational groupings in bacteriophages based on protein similarities. Why do we care about phage taxonomy?.
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Bacteriophage Taxonomy Nicholas Celms San Diego State University Funded in part by NSF 0827278 UBM Interdisciplinary Training in Biology and Mathematics.
Goal • Algorithm for finding relational groupings in bacteriophages based on protein similarities
Why do we care about phage taxonomy? “There are approximately 1031phage in the biosphere, making them the most abundant biological entities on the planet. Despite their great numbers and ubiquitous presence, very little is known about phagebiodiversity, biogeography, or phylogeny” (Rohwer, 2002)
Algorithm Define “similar” proteins Group similar proteins Assess presence/absence of protein groups in each phage Group phages with the same protein groups Rank and organize phage groupings Analyze phage groupings and protein groupings
Data 120 phages, 8558 PEGs Filtered: 2512 contributive PEGs (appear in a cluster) 335 clans (interrelated groupings of phages) forming 14 components