Skip to content

edgraham/topic-functional-annotation

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

62 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TOPIC: Functional Annotation

A repository for the lessons and tutorials for the Functional Annotation TOPIC channel of the BVCN

Prerequisites

Overview

This BVCN topic will cover:

  • how to predict opening reading frames for all three domains of life
  • the methodologies used to assign functions to proteins
  • the intricacies of the specific tools and databases that can used for varying levels of specificity

Lessons

Lesson 1 -- How to predict open reading frames on DNA

Introductory material

Date posted: 9 April 2020
Author(s): Dr. Benjamin Tully
Instructor(s): Dr. Benjamin Tully

  • Tools for predicting open reading frames for Bacteria and Archaea
  • Tools for predicting open reading frames for Eukaryotes
  • Converting open reading frames to predicted proteins

Content | Video presentation

Interactive material

Date posted: 9 April 2020
Author(s): Dr. Benjamin Tully
Instructor(s): Dr. Benjamin Tully

  • Use Prodigal to predict microbial proteins

Content | Video presentation | Binder

Primary tools/programs used:


Lesson 2 -- Inferring function from homologous matches

Introductory material

Date posted: 18 April 2020
Author(s): Dr. Benjamin Tully
Instructor(s): Dr. Benjamin Tully

  • Difference between homolog and ortholog?
  • Tools for homology based functional annotation

Content | Video presentation

Interactive material

Date posted: 9 April 2020
Author(s): Dr. Benjamin Tully
Instructor(s): Dr. Benjamin Tully

  • Use BLAST+ and DIAMOND
  • Interpret similarity based results

Content | Video presentation | Binder

Primary tools/programs used:


Lesson 3 -- Function from position-sensitive models

Introductory material

Date posted: 1 May 2020
Author(s): Dr. Benjamin Tully, Dr. Adelaide Rhodes
Instructor(s): Dr. Benjamin Tully

  • How do position-sensitive models work?
  • How to use a position-sensitive model to interpret function

Content | Video presentation

Interactive material

Date posted: 1 May 2020
Author(s): Dr. Benjamin Tully, Dr. Adelaide Rhodes
Instructor(s): Dr. Benjamin Tully

  • Use HMMER
  • Interpret HMM search results

Content | Video presentation | Binder

Primary tools/programs used:


Lesson 4 -- HMM-based annotation - FeGene Introduction

Introductory material

Date posted: 5 May 2020
Author(s): Arkadiy Garber
Instructor(s): Arkadiy Garber

  • Describe the process for making HMM to detected iron-related proteins
  • How FeGenie works

Content | Video presentation

Interactive material

Date posted: 5 May 2020
Author(s): Arkadiy Garber
Instructor(s): Arkadiy Garber

  • Demonstration of how FeGenie identifies iron-related proteins

Content | Video presentation | Binder

Primary tools/programs used:

About

A repository for the lessons and notebooks used for Binder tutorials

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 85.4%
  • Shell 7.9%
  • R 6.7%