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Jeremy Buhler

Design and Use of RepeatMasker

Similar to the lecture notes on Repetitious DNA, this is a PowerPoint presentation given by Dr. Jeremy Buhler for the GEP faculty and TA workshops. This presentation covers the basics of RepeatMasker, as well as limitations of the program that students should be aware of.

Behavior and Limitations of Motif Finding

Developed by Dr. Jeremy Buhler, this exercise uses MEME to discover putative regulatory motifs in a collection of D. melanogaster promoter sequences. It also illustrates some of the challenges associated with motif finding and the limitations of motif finding programs.

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.

Browser-Based Annotation and RNA-Seq Data

This exercise continues your introduction to practical issues in comparative annotation. You will be annotating genomic sequence from the dot chromosome of Drosophila mojavensis using your knowledge of BLAST and some improved visualization tools. You will also consider how best to integrate information from high-throughput sequencing of expressed RNA.

Detecting and Interpreting Genetic Homology

An introductory exercise using BLAST to annotate a region in the Drosophila melanogaster genome. Students can use this exercise to gain familiarity with performing BLAST searches and interpreting BLAST output. An answer key is provided for instructors.

From Smith-Waterman to BLAST

This lecture from Dr. Jeremy Buhler discusses the limitations of the Smith-Waterman local alignment algorithm and the heuristics used by the BLAST program in order to reduce the search space and to quickly produce high-scoring local alignments.