For genomic researchers, speed and cost drive their day-to-day data generation activities. When given a choice, most researchers will choose longer wait times for results if it means they can achieve more samples.
In the above video, Tim Fennell, director of bioinformatics for the genomics platform at The Broad Institute, talks about the organization’s genomic data generation and data processing pipelines, plus how that data is provided to researchers in the community. He says that the value in genomic research is how quickly and how inexpensively research analysis can be executed.
What do you think? Does speed or cost win in your data analysis projects?