BioPerl school training courses in Ann Arbor, MI (public, in-house or online)

The course will cover statistical methods used to analyze data in experimental molecular biology, with an emphasis on gene and protein expression array data. Topics: data acquisitions, databases, low level processing, normalization, quality control, statistical inference (group comparisons, cyclicity, survival), multiple comparisons, statistical learning algorithms, clustering, visualization and case studies.

This course introduces students to the fundamental theories and
practices of Bioinformatics and Computational Biology via a series of
integrated lectures and labs. These lectures and labs will focus on the
basic knowledge required in this field, methods of high-throughput data
generation, accessing public genome-related information and data, and
tools for data mining and analysis. The course is divided into four
areas: Basics of Bioinformatics, Computational Phylogeny (include...

Full archival course description>>

This course will introduce current software tools and information resources in bioinformatics. Topics will include rapid development programming languages (Python, Perl), relational databases (SQL), Java, exploratory data analysis in R and web services programming. The course will introduce computational biology applications (BLAST, BioConductor, Cytoscape and GenePattern). There will be a class project creating an information resource in genomics and molecular biology that will use these too...

Full archival course description>>