THE GENOME ACCESS COURSE (TGAC)
November 16 -18, 2015
Cold Spring Harbor Laboratory, New York
This course is now full
All registrations received after October 18th will be automatically waitlisted
Instructors:
Benjamin King, Mount Desert Island Biological Laboratory
Gareth Howell, The Jackson Laboratory
Assaf Gordon, The New York Genome Center
Emily Hodges, Vanderbilt University School of Medicine
Jeremy Ward, Middlebury College
The Genome Access Course is an intensive two-day introduction to bioinformatics. Participants are expected to arrive by 6 p.m. on the first day (November 16) with the course running two full days through late afternoon on the third day (November 18).
The course is broken into modules that are each designed to give a broad overview of a given topic, with ample time for examples chosen by the instructors. Each module features a brief lecture describing the theory, methods and tools followed by a set of worked examples that students complete. Students are encouraged to engage instructors during the course with specific tasks or problems that pertain to their own research.
The core of the course is the analysis of sequence information framed in the context of completed genome sequences. Featured resources and examples primarily come from mammalian species, but concepts can be applied to any species. The course also features methods to assist the analysis and prioritization of gene lists from large scale microarray gene expression and proteomics experiments. Summaries of the topics are listed below.
Sequence, Gene, and Protein Resources
NCBI Sequence, Gene, and Protein Resources
Model Organism Databases: Mouse Genome Informatics, Rat Genome Database, ZFIN, FlyBase
Protein Sequence and Domain Resources: UniProt, PDB, InterPro
Proteomics Resources: IPI, ExPaSY, PRIDE
microRNA Resources: miRBase, microCosm Targets, TargetScan, PicTar
Repositories of High-Throughput Sequence Data
Repositories of Gene Expression Data: GEO, ArrayExpress
Gene Expression Profiling Resources
Gene Ontology
Genome Browsers
Genome Sequencing and Assembly
Gene Annotation
Overview and Comparison of Major Genome Browsers: Ensembl, UCSC, NCBI Map Viewer
Adding custom tracks
Bulk genome retrieval tools: BioMart, UCSC Table Browser
de novo Analysis of Sequences
Local, Global, Pairwise, and Multiple Sequence Alignments
BLAST and BLAT Algorithms
Scoring Matrices: PAM, BLOSUM
Iterative Profile and Pattern Searches
Multiple Sequence Alignment Programs
Visualizing & Editing Multiple Alignments
Sequence Variation
Types of Sequence and Structural Variation
SNP Resources: dbSNP
Structural Variation Resources: dbVar, DGVa, HGVbase
Comparative Genome Analysis and Functional Genomic Elements
Finding Putative Regulatory Elements in Genome Sequence by Comparing Genomes
Ortholog and Paralog Resources
Multicontigview in Ensembl
Comparative Tracks in the UCSC Genome Browser
DCODE and ENCODE Resources
Analysis of High-Throughput Sequence Data
Common File Formats: FASTQ, SAM, BAM
Quality Control and Diagnostic Analyses
Mapping Reads To a Reference Sequence
Finding Putative Mutations and Polymorphisms
RNA-Seq Data Analysis
ChIP-Seq Data Analysis
de novo Assembly
Galaxy Resources
Gene Set Enrichment and Pathway Analysis
Prioritizing Genes from Microarray and Proteomics Experiments
Gene Set Enrichment Analysis Tools: GSEA, DAVID
Pathway Resources: Reactome, HPRD NetPath, KEGG
Protein Interaction Resources: MIPS, MINT, BIND, DIP
Target Audience: The Genome Access Course is most beneficial for bench scientists transitioning into projects that require intensive analysis or integration of large data sets. The course will introduce you to publicly available resources, and it will also help you develop a vocabulary that can be used to collaborate with computational scientists. If you already have significant programming or data analysis experience, this course is not appropriate for you. For more detailed curriculum on methods used in computational biology, please see the Computational & Comparative Genomics course. Students interested in the practical aspects of software development are encouraged to apply to the course on Programming for Biology. Students who would like in-depth training in the analysis of next-generation sequencing data (e.g., genome assembly and annotation, SNP calling, and the detection of structural variants) may be interested in the course on Advanced Sequencing Technologies & Applications. Finally, please see the course on Statistical Methods for Functional Genomics if you would like training in the statistical analysis of high-throughput genomics data.
The curriculum of The Genome Access Course has been developed in conjunction with staff at the Wellcome Trust Sanger Institute and the European Bioinformatics Institute (Hinxton, UK) who teach a parallel series of courses in the UK; see the Open Door Workshops for more information.
Pricing
Academic Package (two nights of housing) $1,030
Corporate Package (two nights of housing) $1,715
Academic No-Housing Package $725
Corporate No-Housing Package $1,295
Extra nights @$245 per night
Regular packages cover registration, food, coffee breaks, and a reception. Housing and transportation are not included. Full payment is due 3 weeks prior to the course.