Reproducible Research

From

Reproducible Research in Genome Biology and Bioinformatics

Recent studies demonstrating lack of reproducibility in psychological and medical research has led to a so-called "replication crisis" where scientists and the public doubt the results of peer-reviewed research.

With the ever increasing complexity of genomics data and the computational and statistical methods needed to analyze them, reproducibility is also issue in genomics and bioinformatics. On October 17th at 4pm at the CCBR white room, Benjamin Haibe-Kains (Princess Margaret Cancer Centre) will give a short seminar and lead us in a practical discussion about how to make our research stand the ultimate test: replication.

All are welcome, but spots at this event are limited. Please confirm your spot by sending an email to gbbprogram@gmail.com (GBB members will be given priority).

About Benjamin Haibe-Kains: Benjamin has thought extensively about the reproducibility of bioinformatics research. He is a PI at the Princess Margaret Bioinformatics and Computational Genomics Laboratory. His research group focuses on the integration of high-throughput data from various sources to develop prognostic gene signatures in breast cancer, subtype classification models for ovarian and breast cancers, as well as genomic predictors of drug response in cancer cell lines. Learn more at http://www.pmgenomics.ca/bhklab/

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