Course lectures are now available for viewing on Vimeo
Remote participants will be able to attend live webcasts and engage the course discussions and activities through WebEx.
WebEx Broadcast: Instructions
We are pleased to announce that this year, the Palaver is approved as a full HMS course. We believe more productive lecture should be provided. Our colleagues from Wisconsin, Japan, and Egypt will participate in the lectures, and guest lecturers from these groups, as well as HMS-affiliated institutions, will be scheduled during the semester as time permits. All lectures and references will also be posted on this web site.
Former Palavers focused on creating a translational science ‘clouded’ infrastructure and then using the environment to test novel models, analysis, computational methods and predictive simulations. The clouded environment was a tremendous success and spawned a series of collaborative projects that leveraged the technical flexibility of the cloud and has since extended several of the palaver’s original objectives.
The previous Palaver explored the “Methods of Translational Science.” The contents are new approaches to retrospective analysis of EMR, examination of the use of recently proposed methods to validate, test the efficacy, and conduct clinical trial studies adapted to address the complexity that genetic information brings to traditional medical device and drug studies and consideration of the emerging art of comparative effectiveness studies when genetic data and information is compared to currently accepted but non genetic best practice clinical care.
This semester’s theme is “Clinical Implications of Genetic Data and Knowledge.” Recent developments in next-generation sequencing (NGS) have been tremendous and this NGS platforms play an increasingly prominent role in biological research. Infrastructure to manage the flow of Next Generation Sequencing (NGS) technologies experiments has been developed. NGS technologies enable the resequencing of entire - genomes or the sampling of entire transcriptomes more effi ciently and economically and with greater depth than ever before. Identifying and tracking genetic variation is now so effi cient and precise that thousands of variants can be tracked within large populations. Our capacity to produce such data for multiple cancers of the same type is improving, so this course will focus on the NGS data analysis method and the implication.
Peter J. Tonellato, PhD, Laboratory for Personalized Medicine, CBMI, HMS
Dennis P. Wall, PhD, Laboratory for Translational Bioinformatics, CBMI, HMS
Sessions: Mondays, 3-6pm EST
No class: February 21th - President's Day, March 14th - Spring recess
1- "UNESCO-L’Oreal Morocco, Imane Allali received the first prize of the best PhD student"
2- "Sequencing Step Now 'Trivial' Part of Clinical Genomics Pipeline amid Analysis, Reimbursement Challenges"
3- Bioinformatics, Medical information and Translational Medicine,