A Hands-on Introduction to Hidden Markov Models
24 Aug 2021 | Teaching Materials | Contributor(s):
By Anton E. Weisstein1, Elena Gracheva2, Zane Goodwin2, Zongtai Qi2, Wilson Leung2, Christopher D. Shaffer2, Sarah C.R. Elgin2
1. Truman State University 2. Washington University in St. Louis
In this Lesson, we describe a classroom activity that demonstrates how a Hidden Markov Model (HMM) is applied to predict a eukaryotic gene, focusing on predicting one exon-intron boundary. This HMM...
Module 6: Alternative Splicing
25 Jul 2020 | Teaching Materials | Contributor(s):
By Leocadia Paliulis1, Anne Rosenwald2
1. Bucknell University 2. Georgetown University
This module explores how multiple different mRNAs and polypeptides can be encoded by the same gene. After completing this module students will be able to explain how alternative splicing of a gene...
Module 4: Removal of Introns from pre-mRNA by Splicing
By Meg Laakso1, Anne Rosenwald2
1. Eastern University 2. Georgetown University
In this module, students will learn to identify splice donor and acceptor sites that are best supported by RNA-Seq data, and use the canonical splice donor and splice acceptor sequences to identify...
04 Jan 2019 | Teaching Materials | Contributor(s):
By Tony Weisstein1, Elena Gracheva2, Zane Goodwin2, Zongtai Qi2, Wilson Leung2, Christopher D. Shaffer2, Sarah C.R. Elgin2
A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.