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The central dogma of molecular biology states that DNA makes RNA, which makes protein, the functional players in the cell. But like most rules, this one has some exceptions.
Ben Ebert is as fluent in the care of patients with blood disorders as he is applying the latest genomic technologies in his laboratory at the Brigham and Women’s Hospital and with colleagues in the Broad’s Cancer Program. It’s all part of the same mission for Ben—to understand blood disorders and cancers at the genetic level to find ways to end the suffering of people with these illnesses.
Every drop of DNA derived from a patient’s tumor is precious.
Mark Puppo and Kristin Anderka are highly aware of how much time and effort has been devoted to each of the samples they are examining today. As you will see in the video below, they take great care in handling each sample and all of the chemicals in their section of the laboratory.
Robots and the fleet of professional scientists who make sure the machines do their job in high-throughput screening may seem far afield from a fishing expedition. But that may be the best metaphor to explain how researchers at the Broad and elsewhere trawl for chemical compounds that might lead them to a new understanding of human biology.
Each summer talented undergraduates enrolled in the Broad Diversity Initiative’s Summer Research Program in Genomics (SRPG) fan out among the institute’s labs, performing research, attending seminars, and soaking up science before returning to college in the fall.
At the Broad, collaboration is king. But in order to share ideas and data, scientists need a robust infrastructure that can support the volume and speed at which results are produced. That’s where Chief Information Officer Martin Leach and his team of experts in information technology and research computing come in. Their goal is to provide the software and technology that will enable the best collaboration experience, which will in turn accelerate groundbreaking science to transform medicine.
Yesterday on the blog, we introduced you to some of the Broad researchers who built tools, teams, and resources to generate and analyze a massive flood of data and analytical code for The Cancer Genome Atlas (TCGA). Today we give you a look at the system they built to manage data analysis for the project: Firehose.
In this two-part series, we’ll give you a look at some of the tools, teams, and resources built by Broad Institute scientists to support the large-scale cancer sequencing project known as The Cancer Genome Atlas (TCGA).
Cells use a complex network of connections to make a constant array of decisions about their surrounding environment: Is it time to grow? Is it time to change into a different type of cell? When a cellular component or connection is missing or defective, disease takes hold.
This spring, artists, designers, computational biologists, and software engineers gathered in the Broad Institute auditorium for three days of talks, posters, and tutorials on the cutting-edge field of visualization in biology.