Team II Functional Annotation Group: Difference between revisions
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== '''Introduction'''== | == '''Introduction'''== | ||
==='''What is Functional Annotation?'''=== | |||
The practice of putting biological meaning to coding genes (genes that encode proteins) and their corresponding protein sequences. Such annotations can be derived using homology and ''ab initio'' based approaches, which will be further explained in subsequent sections. | |||
===='''Homology | ===='''Homology Approaches'''==== | ||
* Determine function via sequence similarity to already functionally annotated sequences | |||
* Limited by what we already know. | |||
===='''''Ab Initio'' Approaches'''==== | |||
* Determine function via predictive model without comparing to existing sequences | |||
* Based on laws of nature | |||
* Difficult to verify without experiments | |||
== '''Objective'''== | == '''Objective'''== | ||
Revision as of 13:55, 25 March 2020
Team 2: Functional Annotation
Team Members: Danielle Temples, Courtney Astore, Rhiya Sharma, Ujani Hazra, Sooyoun Oh
Introduction
What is Functional Annotation?
The practice of putting biological meaning to coding genes (genes that encode proteins) and their corresponding protein sequences. Such annotations can be derived using homology and ab initio based approaches, which will be further explained in subsequent sections.
Homology Approaches
- Determine function via sequence similarity to already functionally annotated sequences
- Limited by what we already know.
Ab Initio Approaches
- Determine function via predictive model without comparing to existing sequences
- Based on laws of nature
- Difficult to verify without experiments
Objective
Data Overview
We received 50 fna and 50 faa files from the gene prediction group. The 50 fna files are multifasta files representing each genome. The 50 faa files are multifasta files representing each proteome.