Module 5 week 1: Bioinformatics, Gene ontology; lontorrent

Learning Objectives: define key terms: what is bioinformatics? why is it important for studying genetics? how can bioinformatics be performed? specialty software, online resources, programming languages

what is bioinformatics?

a combination of (three things)

what type of analysis?

use of computational tools for experimentation in the biological sciences

computer science + biology + statistics

in silico

can use bioinformatics to make own -

can - and - biological data using software tools

software

manage, study

why is bioinformatics important?

1. too much data for efficient manual analysis

   (Human Genome Project called for ability to manage large data sets)

2. another tool in research tool kit

   (knowledge of biological principles = can develop research questions)

online databases exist for - of data, is freely -, and is a target for -

storage, accessible, datamining

to find regions of identity, - sequences

amount of identity informs -

similarity: how related are 2 sequences?

align

similarity

BLAST

was developed to - and - sequence data

basic local alignment search tool

organize, compare

integrative bioinformatics?

collection and analysis of data from multiple sources because single data base is too limiting

integrative bioinformatics is based on ontology, ontology is the - of data based on key related aspects of -

grouping, data properties