I work in molecular genetics research, and I've noticed how disconnected subfields within the life sciences can be. For example, a classical geneticist working with yeast can spend their entire career oblivous to the fact that the problem they've been working on has been indirectly solved by a biochemical engineer working in the same building. This happens for a number of reasons, they publish in different journals, use different terminology, the relationship may not be obvious, etc. Originally, I only had metadata extractors and various NLP parsers specific to the bio/life sciences, but I felt that was too limiting and began to expand it. The backend which ties all the services is almost entirely written in Lua/Torch, and Redis. And everything is built around the Alfresco CMS which comes with Solr, and Mattermost as a locally hosted slack alternative. Mattermost bots report on new content (http://imgur.com/a/P3YK1, http://imgur.com/a/GTVEX) wherever it comes from.
There is too much information to stay on the bleeding-edge of things without serious commitment of resources, which start-ups don't have. My intention was to track the content a group of people go through in a day and visualize connections in the data that may not have been obvious before.
Essentially, it's meant for harvesting IP in biotech field.
There is too much information to stay on the bleeding-edge of things without serious commitment of resources, which start-ups don't have. My intention was to track the content a group of people go through in a day and visualize connections in the data that may not have been obvious before.
Essentially, it's meant for harvesting IP in biotech field.