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!

 
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Here's what awaits you on this dynamic platform:

ISCBacademy: Participate in webinars covering the latest advancements and trends in computational biology from researchers all over the world.
 
Training Center: Elevate your expertise, sharpen your skills, and expand your knowledge with tutorials in the training center.
 
🤝 Network and Collaboration Hub: Connect with like-minded professionals and exchange ideas to drive innovation forward.
 
Community Forum: Engage in discussions, share insights, and seek advice from  computational biologists worldwide.
 
ISCB Career Center: Explore exciting career opportunities and take the next step toward fulfilling your professional aspirations. Whether you're seeking new challenges or looking to recruit top talent, this is where you’ll want to be.
 

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!

 
 
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Upcoming ISCBacademy Webinar
April 25, 12 PM EDT

Hosted by the Evolution & Comparative Genomics COSi

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

Reconstructing the horizontal movement of genes using Bayesian phylogenetic network inference


How Do I Join?
The ISCBacademy webinar series is part of ISCB Nucleus. If you're an ISCB member, you've already been added to the Nucleus platform. All you need to do is request a magic link to login! If you're not an ISCB member, you can join the Nucleus platform by following these instructions.


Reconstructing the horizontal movement of genes using Bayesian phylogenetic network inference

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.

 
 
 
 
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Registration Deadline April 19

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.

Register Now
 
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ISCB’s 13th Annual Wikipedia Competition
Furthering Computational Biology Knowledge 


Submission Deadline: May 3, 2024
 
ISCB announces its 13th annual international competition to improve the coverage on Wikipedia of any topic relating to ISCB’s Bioinformatics Core Competencies.
 
A key component of the ISCB's mission to further the scientific understanding of living systems through computation is to communicate this knowledge to the public at large. Wikipedia has become an important way to communicate all types of science to the public and the ISCB aims to further its mission by increasing the quality of Wikipedia coverage of related topics, and by improving accessibility to this information via Wikipedia.
 
The competition is open to students and postdocs, either as individuals or as groups.
 
The prizes for the best Wikipedia articles in any language provided by the ISCB:

•    1st prize - $500 (USD) and 1 year membership to the ISCB.
•    2nd prize - $250 (USD) and 1 year membership to the ISCB.
•    3rd prize - $150 (USD) and 1 year membership to the ISCB.
COMPETITION ENTRY INFORMATION
 
 
 

ISCB Dependent Care Grants Now Available

ISCB recognizes that many of our members have personal care responsibilities that can present a challenge to attending scientific conferences, and hence interfere with career advancement. We also recognize that you know best how to care for your own dependents and what their needs are.

Accordingly, ISCB offers Dependent Care grants in the amount of $600 USD to as many eligible candidates as allowed by available funding to be used towards expenses that will facilitate the member’s attendance at ISMB 2024.

Submission Deadline: May 30, 2024
Notification of Acceptance: June 7, 2024
Learn More

Funding for this grant is proudly provided by the International Society for Computational Biology (ISCB)

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