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Introduction to Motifs and Motif Finding

This document contains the notes from a lecture on motif finding given by Dr. Jeremy Buhler in the Bio 4342 course at WU. The lecture covers the different approaches used to represent sequence motifs and to search for sequence motifs in a genome.

RNA Quantitation from RNA-Seq Data

Developed by Dr. Jeremy Buhler, this PowerPoint presentation provides an overview of the approaches for quantifying transcript abundance based on RNA-Seq data. The presentation includes a discussion on the benefits and limitations of the two approaches commonly used for RNA quantitation – RPKM and TPM.

Using BLAST for Genomic Sequence Annotation

Similar to the Lecture Notes on Alignment, this is a PowerPoint presentation given by Dr. Jeremy Buhler for the GEP faculty and TA workshops. This presentation covers the basics of alignment, essential for students to correctly interpret BLAST results.

Eukaryotic Comparative Genomics

This lecture from Dr. Barak Cohen discusses the major factors to consider (e.g., species to analyze, model for conserved sequences) when using phylogenetic footprinting to identify conserved regions across multiple species. The lecture also illustrates how the weight matrix model can be used to describe sequence motifs, and it provides an introduction to Magma, which uses the multiple species with multiple genes approach to discover conserved motifs.

An Introduction to Hidden Markov Models

Developed by Dr. Anton E. Weisstein (Truman State University), Zongtai Qi and Zane Goodwin (TAs for Bio 4342), this curriculum introduces students to the idea of Hidden Markov Models (HMM) that forms the core component of most gene predictors. The lecture by Zongtai Qi uses weather prediction to illustrate the key concepts of the HMM, whereas the lecture by Zane Goodwin focuses on the HMM that models a splice donor site. The exercise developed by Dr. Weisstein includes a spreadsheet with a simple HMM exercise that models a splice donor site. The spreadsheet allows students to examine the impact of different transition and emission probabilities on splice site predictions. A video recording of Dr. Weisstein’s HMM presentation during the 2014 GEP Alumni Workshop is also available online. This HMM curriculum is also available on CourseSource.