Motif Discovery in Drosophila
This walkthrough uses FlyBase RNA-Seq Search and the MEME suite to discover motifs that are enriched in a collection of D. melanogaster Muller F element genes that show similar expression patterns.
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Bioinformatics
Annotation of Conserved Motifs in Drosophila
This walkthrough uses FlyBase, FlyFactorSurvey, and Patser to identify transcription factor binding sites in the region surrounding the transcription start site of onecut in D. biarmipes.
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.
RNA-Seq: a Closer Look at Read Mapping
Developed by Jeremy Buhler, this PowerPoint presentation provides an introduction to the core algorithms that form the basis for efficient mapping of RNA-Seq reads against a genome or transcriptome. The video that accompanies this presentation was developed by Leocadia Paliulis (Bucknell University).
Generating Multiple Sequence Alignments with ClustalW
Dr. Susan Parrish (McDaniel College) developed a basic lecture and weblem exercise (found at the end of the lecture) on using ClustalW to generate multiple sequence alignments, phylograms, and cladograms. This lecture and exercise are given prior to beginning the GEP annotation projects. Students who submit their GEP annotation projects early are then asked to generate multiple sequence alignments and phylograms of the putative proteins encoded within their assigned contig or fosmid, compared to those related proteins encoded by other Drosophila species of interest to the GEP.
Generating Multiple Sequence Alignments with Clustal Omega
Developed by Dr. Susan Parrish (McDaniel College), this PowerPoint presentation describes how Clustal Omega can be used to produce multiple sequence alignments. The multiple sequence alignments of the nucleotide sequences surrounding the transcription start sites can be used to identify core promoter motifs, while the multiple sequence alignments of protein sequences can be used to identify conserved domains. The presentation also includes a discussion of two strategies (UPGMA and Neighbor Joining) that are often used to construct phylogenetic trees.
Overview of Multiple Sequence Alignment Algorithms
Developed by Yu He (TA for Bio 4342), this PowerPoint presentation provides a basic overview of the common algorithms used to generate multiple sequence alignments. The presentation also illustrates how one could use Clustal Omega to generate a multiple sequence alignment for a set of orthologous proteins in order to identify conserved domains within the protein.
Using FlyBase RNA-Seq Tools to Investigate Gene Expression Profiles
This walkthrough illustrates how GBrowse and the RNA-Seq tools at FlyBase can be used to identify genes with similar expression patterns. This walkthrough provides an introduction to the TopoView RNA-Seq track in FlyBase GBrowse, the FlyBase Expression Profile Search tool, and the Expression Similarity Search tool. It also illustrates how the Gene2Function web site can be used to infer the function of a D. melanogaster gene based on the functions of its orthologs in other model organisms.