BIOL365 Lecture Notes - Redis, Newick Format, Genetic Drift
8 Dec 2013
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Lecture 1 introduction to bioinformatics. Influenza specific databases: ncbi influenza virus resource, national institute of allergy and. Other bioinformatics tools can contribute to other analyses: Phylogeny of 2009 h1n1: clustering. Databases: flat file databases, relational databases. Easy to input, distribute, search and retrieve data. Most common type of biological database. Handles huge amounts of data: reducing data in memory, faster search and retrieval. Data quality and information content: redundant vs. non- redundant, functional annotations. Swiss- prot (highly annotated manual component) Stss are small fragments of dna, often ~500 bp, with known location within a genome. Individual records provide links to entrez records: nucleotide sequences, protein sequences, popset (population study data sets, etc. Mesh medical subject heading. Lecture 4 introductions to sequence alignments. Insertion and deletion events complicate sequence alignment. Dynamic programming: the needleman and wunsch algorithm. The best result is kept: here, possibilities are. Y- 1 (gap), or z- 1 (gap).
