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Tag Index  /  Showing 1 - 4 of 4 results for “Personal Genome Project”

Bio & Life Sciences Government Healthcare

NIH Fast-Tracks Giant Precision Medicine Study

At a genomics conference last week, National Institutes of Health official Kathy Hudson provided an update on the government’s gigantic Precision Medicine Initiative (PMI). NIH aims to make real progress before the next president takes over–and to enable any American who wants to to take part.   More

Bio & Life Sciences

The Personal Genome Project Ten Years Later: What We’ve Learned

It's ten years since the launch of the Personal Genome Project. PGP was the first attempt to assemble a massive study of people willing to publicly share the DNA information from their entire genome as well as their medical history, biological samples, and even facial images. A decade ago many thought it crazy. But it has been an extraordinary success.   More

Bio & Life Sciences

No Longer Rocket Science: Helping Consumers Understand Genetic Info

A decade ago, biologist Ting Wu saw a need to promote education and interest in genetics among consumers, as well as to help scientists understand how the public views their research. Today, the initiative that resulted helps teachers and students, scientists, Congress, and even Hollywood writers and producers understand and spread the message that genetics is important and accessible.   More

Bio & Life Sciences

Challenges for Genomics in the Age of Big Data

Last week, a group of respected researchers published a commentary about the coming data challenges in genomics. Comparing the projected growth of genomic data to three other sources considered among the most prolific data producers in the world—astronomy, Twitter, and YouTube—these scientists predict that by 2025, genomics could well represent the biggest of big data fields. With the raw data for each human genome taking up about 100 GB, we’re well on our way. Genomics only recently entered the big data realm, and we have major issues to address before it leapfrogs every other data-generating group.   More