In this week's Lab it Tuesday meetup at the Biomakespace, we discuss deep sequencing and deep learning.
Deep sequencing is one of the most powerful biological tools that we have to date, and it can generate millions of pieces of biological data. On the other hand, deep learning is an advanced computing algorithm that is great at analysing big data. They are a perfect match. Harvesting the analytical power of deep learning to analyse deep sequencing data helps scientists to explore deeper into the genome than ever before.
This talk will be structured in two parts. The first part of the talk gives an overview of deep learning, explaining what it is and how it works. The second part will review the paper 'Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning. Nature Biotechnology 33, 831–838 (2015).' (URL: http://www.nature.com/nbt/journal/v33/n8/full/nbt.3300.html?foxtrotcallback=true ).
Tiong Sun Chia is a postdoctoral scientist at MRC-LMB.
Lab it Tuesdays at the Biomakespace are usually an opportunity to meet some new people, find out new things, share progress and brainstorm ideas. In addition to this, we often have talks delivered by scientists, artists, startups and experts from the local life science and technology clusters here in Cambridge and surrounding areas.
The meetup is usually between 7 and 9 pm, where the first hour is for speaker talks and the next hour is determined either by the speaker when some talks have follow on activities, or by the audience where it becomes an informal hour of discussing projects being planned at the BioMakespace, laboratory training on specific topics or equipment, discussing an interesting paper etc.
For those amongst you, who would like to get involved behind the scenes and help support the running of Biomakespace, come and talk to us on Tuesdays at 7 pm or turn up at our Thursday meet ups (7 pm) at the same venue .
How to find the Biomakespace
From the Addenbrookes roundabout head towards the hospital main entrance, on the right hand side at the zebra crossing you will see signs for IdeaSpace, follow these to the door at the bottom of the steps heading down from the road (street view (https://firstname.lastname@example.org,0.1432701,3a,75y,326.69h,73.98t/data=!3m6!1e1!3m4!1sqjyRW07LopXgcNf6zr-uYg!2e0!7i13312!8i6656) - steps are to the right).
Call[masked] from the door, we will keep an eye out for people as well.