This month at Bioinformatics: London!
Dr Steve Frenk: Building reproducible and scalable pipelines with Nextflow
Nextflow is a fluent domain specific language modelled around the UNIX pipe concept that simplifies writing parallel and scalable pipelines in a portable manner.
Steve will give an overview of Nextflow and provide use cases that demonstrate its utility in both academic and industrial settings. Basic concepts of the language as well as more recent developments will be covered.
Steve is a Bioinformatics Software Engineer at Achilles Therapeutics, an immuno-oncology start-up that was founded from cutting-edge research on cancer evolution at the Crick Institute. Before moving to Achilles Therapeutics, Steve worked as a postdoctoral scientist at the University of North Carolina, Chapel Hill.
Dr Dixita Limbachiya: DNA – a tool for computing
The talk will focus on how we can construct DNA codes that can avoid certain errors essential to use DNA for computation. These DNA codes can be used for a myriad of applications, one of which is data storage.
Dixita will discuss how we can develop efficient DNA codes with properties that are essential to store data in DNA. The first part of the talk will give an overview of designing DNA codes and the second half of the talk will include an answer to how can we use DNA to store the data? Recent exciting results of DNA based data storage systems will also be discussed.
Dixita is currently working as a technical consultant for Helixworks Technologies, a company that designs, manufactures and sells DNA-based Data Storage technologies.
Before this, Dixita completed her PhD in DNA computing at DA-IICT, with part of her thesis work on DNA data storage featured in the Times of India.
Ticketing is required, the event will still be free but use EventBrite so we have names for security: https://www.eventbrite.com/e/bioinformatics-london-nextflow-pipelines-and-dna-computing-tickets-70879084249
6:30: doors open
6:45: chitchat, announcements
7:00: talk starts
7:45: talk ends, adjourn to pub