Get ready to immerse yourself in the forefront of computational biology and bioinformatics at the European Conference on Computational Biology (ECCB) 2024! This year, ECCB is making its mark in the Nordic countries, landing in Turku, Finland, from September 16–20, 2024, under the captivating theme "Data and algorithms for health and science."
ECCB will feature groundbreaking research presentations, lively discussions, poster sessions, workshops, tutorials, and networking opportunities—all set against the historical backdrop of Turku, the oldest city in Finland.

The call for highlight talks and posters is open until Tuesday, April 23.
Don't miss out on this incredible opportunity to showcase your research and insights to a diverse audience of peers! Submit your abstract today!

If you’ve been waiting to submit your abstract to be part of this dynamic conference, now is the time!
Don't miss your chance to join renowned researchers in Montreal, Quebec, Canada from July 12–16 for an amazing five days of science, networking, and collaborating!

Abstract submission closes at 11:59 p.m. (any time zone) Friday.

Are you ready to advance your computational biology skills, knowledge, and networking?

Look no further than ISCB Nucleus—your destination for all things science, training, and community!

Here's what awaits you on this dynamic platform:

Don't miss out on the countless opportunities awaiting you! Log in to ISCB Nucleus to get started.
Stay curious, stay connected, and stay ahead of the curve with ISCB Nucleus!

Upcoming ISCBacademy Webinar
April 25, 12 PM EDT

Join us at 12 PM EDT on Thursday, April 25, for the next installment in the ISCBacademy Webinar Series:
 

by Nicola F. Müller

The horizontal movement of genes is a crucial driver in the evolution of viral and bacterial pathogens. It enables pathogens to, for example, make large jumps in fitness space, adapt to new host species, or gain novel genes, such as acquiring plasmids carrying determinants for antibiotic resistance. Phylogenetic methods are often used to reconstruct evolutionary events but mostly assume that a phylogenetic tree can describe the shared evolutionary history of pathogens. This assumption—that phylogenetic trees accurately represent that history—is challenged when genes move horizontally, necessitating the use of phylogenetic networks instead.

In this talk, I will first present recent work on inferring phylogenetic networks using a Markov chain Monte Carlo approach. This approach models the horizontal movement of genes using coalescent models, allowing us to quantify reassortment, recombination, or plasmid transfer rates. I will then showcase multiple applications of phylogenetic network inference. First, I will demonstrate how we can use the coalescent with reassortment to infer reassortment rates across different influenza viruses. Next, I will discuss how phylogenetic network inference allows us to infer the complex evolutionary history of human coronaviruses, including MERS and SARS-like viruses such as SARS-CoV-1 and 2. Lastly, I will present work on reconstructing the gain and loss of small plasmids and the recent dissemination of a multidrug-resistance plasmid between Shigella sonnei and Shigella flexneri lineages. This includes multiple independent events and steady growth in prevalence since 2010 and quantifies the rates at which different plasmids move between bacterial lineages.

RECOMB 2024 is the 28th edition of a series of algorithmic computational biology conferences bridging the areas of computational, mathematical, statistical and biological sciences. The conference features keynote talks by preeminent scientists in life sciences, presentations of ground breaking research in computational biology, selected over the course of a highly-rigorous peer-review process, and poster sessions on the latest research progress.