The Epigenomics Core has compiled detailed information about the different types of -seq experiments they're performing.

The course notes accompanying the Applied Bioinformatics Core's RNA-seq class contain a comprehensive introduction into many aspects of high-throughput sequencing data analysis.

WCM is part of a vibrant community of computational biologists and DNA sequencing experts!

Meetings:

Every Thursday, the Applied Bioinformatics Core offers a weekly Bioinformatics Walk-in Clinic -- for all your questions about experimental design and data analysis!

For more experienced coders and programmers, you may be interested to join the mailing list of d:bug to stay up-to-date with cool packages and state-of-the-art data science tips.

The general workflow of any experiment based on high-throughput DNA sequencing involves the following steps, whose optimal execution requires molecular biology as well as computational expertise.

WCM's infrastructure for high-throughput DNA sequencing experiments

WCM offers assistance for virtually every step that's needed for the successful implementation and interpretation of experiments involving high-throughput DNA sequencing.

Flow cytometry is a fast, flexible, multi-parametric technology for analysis of cells.  Some flow cytometers, known as cell sorters, are also equipped with droplet generation/deflection modules that allow cells of interest to be recovered at high purity for additional experiments.  Most flow cytometers use fluorescence detection, but imaging- and mass-spec based flow cytometers are becoming increasingly common.  Impedance-based flow cytometers are widely used for accurate complete blood counts based on cell size and volume measurement.  The WCM CLC Flow Cytometry Core Facility offers fluor

• Applied Bioinformatic Core
• Citigroup Biomedical Imaging Center (CBIC)
• Cryogenic Electron Microscopy Core
• Epigenomics Core
• Fisher Drug Discovery Resource Center (DDRC)