Microorganisms, big data
[company]IBM[/company] is teaming up with food conglomerate Mars to study, and hopefully protect, citizens from foodborne illnesses by sequencing the genes of…
Researchers perform image analysis on hundreds of genes one at a time to learn more about their functions and how they interact.
Billionaire doctor Patrick Soon-Shiong plans to install a supercomputer at the Phoenix Childrens Hospital that will help doctors fully sequence and analyze patient genomes in seven days, and help build a database of genetic information that could help treat childhood disease.
A life-sciences-as-a-service startup called Transcriptic has opened its APIs to the general public, allowing researchers around the world offload tedious lab work to robots so researchers can spend more of their time analyzing the results.
Illumina’s president Francis deSouza, a leader in genomic sequencing, examines the data issues that come up when recording every letter in a person’s DNA.
An Oakland-based startup called Omicia has raised a $6.8 million series A round of venture capital, led by Artis Ventures, for a…
Two new platforms for storing and analyzing genomic data have raised venture capital recently, with Curoverse announcing $1.5 million in seed funding…
RainDance Technologies, a big data genomics company, has raised $35 million to expand into new markets.
Seattle-based Spiral Genetics has raised $3 million for its service that helps researchers in academia and industry more quickly analyze raw sequence data.
New hardware from Bina Technologies gives analysts another example of a use case in which the public cloud isn’t always the most appropriate solution.
A startup called Syapse is trying to bring the world of “omics” — the study of all our genomes, biomes, proteomes and other “omes” — under control with a new data management platform based on some of the general techniques that also power Facebook’s Graph Search.
In the latest case of researchers using the cloud for good, Google is highlighting the six projects to which it awarded grants via its Exacycle for Visiting Faculty program. Ranging from genomic research to astronomy, the researchers received 100 million computing hours apiece.
Slowly but surely, health care is becoming a killer app for big data. Whether it’s Hadoop, machine learning or natural-language processing, folks in the worlds of medicine and hospital administration understand that data is the key to helping them take their fields to the next level.
Applied DNA Sciences thinks it has created the perfect tool for identifying attempts to counterfeit or steal goods along the supply chain. It’s mobile meets cloud computing meets big data, and it begins with QR codes that mimic physical DNA signatures.
Now that human genomes will soon take only one day and $1,000 to sequence, life is about to get a lot easier for medical researchers, but a lot more difficult for companies trying to make a buck selling them tools to store and analyze genomic data.