Tag: Rachel Karchin

Dr. Rachel Karchin awarded NSF ABI:Advances in Biological Informatics Grant

02/04/2013

Assistant Professor Rachel Karchin of the Department of Biomedical Engineering and Institute for Computational Medicine recently received an award of $695K for 3 years from the National Science Foundation. The award, which is part of the NSF’s Advances in Biological Informatics program is entitled “ABI Innovation: Predicting the combined impact of multiple mutations on protein […]

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Karchin Lab releases first module of educational video games for high schools

09/14/2011

The Karchin Lab at the Institute for Computational Medicine, Johns Hopkins University recently released the first of a suite of educational video games developed with outreach support from the National Science Foundation. The BioHazards project “allows students and science enthusiasts to prevent and cure diseases in a virtual, gaming environment. [BioHazards] is focused on the development […]

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Hannah Carter receives a 2012 Siebel Scholarship

08/15/2011

Hannah Carter, a Graduate Student in the lab of Dr. Rachel Karchin, has been awarded a 2012 Siebel Scholarship. Students are nominated for the Siebel Scholarship on the basis of academic and research excellence and leadership activity during their graduate school career. The scholarship itself is $35000 to supplement the student’s stipend in their final […]

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Dr. Rachel Karchin co-chairs workshop at the Pacific Symposium on Biocomputing

12/20/2010

From January 4-7, Dr. Rachel Karchin attended the 2011 Session of the Pacific Symposium on Biocomputing at the Fairmont Orchid Resort on the Big Island of Hawaii, USA. While there she co-chaired a workshop on the “Identification of Aberrant Pathway and Network Activity from High-throughput data”. More information on the Symposium can be found on […]

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Karchin Lab receives Molly award from first CAGI meeting at University of California

12/16/2010

The Karchin Lab received a MOLLY award for outstanding contribution to the first CAGI (Critical Assessment of Genome Interpretation) meeting at the University of California, Berkeley on December 10, 2010. The CAGI project is “a community experiment to objectively assess computational methods for predicting the phenotypic impacts of genomic variation”. More details on the project […]

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Cancer Research by Assistant Professor Rachel Karchin Highlighted in News

10/09/2010

In the October 8 Hopkins Medicine news release “Computer Predicts Pancreatic Cancer”, research by Assistant Professor Rachel Karchin published in the September 15 issue of Cancer Biology and Therapy was highlighted. From the text: “Using a computer program, researchers from Johns Hopkins have predicted which changes in the DNA code may cause pancreatic cells to […]

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Rachel Karchin gives keynote speech at RECOMB Satellite Workshop on Computational Cancer Biology

06/26/2010

Assistant Professor Rachel Karchin of the Department of Biomedical Engineering and Institute for Computational Medicine gave her keynote presentation at the Second Annual RECOMB Satellite Workshop on Computational Cancer Biology. Her topic covered “High throughput annotation of somatic mutations in cancer: computational challenges”. The workshop took place June 24-25, 2010 at The Norwegian Radium Hospital […]

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Software Hunts for Malignant Mutations

12/02/2009

Cancer cells develop lots of mutations, but not all of them are relevant. Finding the 5 percent to 20 percent that are worth studying can be time consuming. Now, a team of Johns Hopkins engineers has developed groundbreaking computer software that will help narrow in on those relevant suspects. Rachel Karchin, an assistant professor of […]

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Computational process zeroes in on top genetic cancer suspects

09/04/2009

ICM Faculty Dr. Rachel Karchin and and Ph.D. Graduate Student Hannah Carter have been featured in the JHU Gazette for their work published in the August 15 issue of Cancer Research. “Johns Hopkins engineers have devised innovative computer software that can sift through hundreds of genetic mutations and highlight the DNA changes that are most […]

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