Workshops

In the Introduction to RNA-seq Analysis Using High-Performance Computing Workshop, participants will learn the basics of Unix/Linux and gain experience using the HMS compute cluster (O2). Participants...

Reproducibility of in-silico pipelines analysis is one of biology’s most pressing issues. The exponential growth of biological datasets, increasingly complex data analysis methods and the lack of community...

Date: August 8, 2018 Time: 9:00 am to 5:00 pm (PDT) Location: 42251 Osgood Rd Fremont, CA 94539 Biomedical data is rapidly expanding and becoming more sophisticated. Where once low-throughput and easily managed data such as temperature or blood pressure were ...

Venue: Naturvetarhuset, Umeå University Important dates: Application open: June 15, 2018 Application deadline: October 2, 2018 Course dates: November 14-16, 2018 Responsible teacher/s: Johan...

Pine Biotech and Amity University announce the registration for its upcoming Amity University Summer Bioinformatics Training Program which starts June 14-  continue through August 15, 2018. This training program will provide students and faculty access to online resources and practical ...

We are excited to announce registration for the upcoming Louisiana Biomedical Research Network Summer Bioinformatics Program. The program will start June 1 and last through July-August, providing students and faculty access to online resources and practical experiences analyzing large biomedical ...

Pine Biotech and the Louisiana Biomedical Research Network is announcing the start of the Louisiana Biomedical Research Network Bioinformatics Summer Program, starting in June 2018. The program is organized with support from the Tauber Bioinformatics Research Center and the Center ...

RNA-seq has become an ubiquitous tool in both biological and medical research. This workshop will provide a general introduction to RNA-seq analysis. Topics include data generation, quality control, and basic analysis of RNA-seq data. Participants will explore software and workflow and gain hands-on...

Machine Learning proved to be an effective approach to detection of patterns in large datasets, feature selection and classification. However, NGS Transcriptomic data has unique challenges for processing and preparation for these methods and selecting the right approaches to avoid ...

May 9-10 at the NYU Langone Medical Center, Dr. Kasthuri Kannan and Stepan Nersisyan will conduct a hands-on workshop dedicated to review of RNA-seq data as a rich source for classification using conventional machine learning tools. The workshop will cover ...