Conferences  >  Life Sciences  >  Systems Biology and Computational Biology

Institute for Computational and Experimental Research in Mathematics (ICERM)

This semester program brings together mathematicians, statisticians, computer scientists, and experimental biologists to address the challenges involved in genome-scale phylogenetic inference. An overarching goal is to unite biologically-sound modeling with algorithms that can be implemented in a computationally tractable manner and that scale as both the number of species and the amount of genetic data increase. Specific topics to be investigated include: theory and practice of model-based inference for trees and networks, combinatorial and algebraic approaches for inferring phylogenies, software and algorithm development for inference and visualization, Bayesian approaches to phylogenetic inference, models for phylogenetic diversity and node dating, and methods for assessing model fit.

ICERM;     Email: info@icerm.brown.edu

biology, computation, genomic data, phylogenomics, software development, algorithm development

Institute for Computational and Experimental Research in Mathematics (ICERM)

The unprecedented amount of genomic data that has become readily available presents specific challenges for the field of phylogenetic inference, which is concerned with estimating the evolutionary relationships among collections of species, populations, or sequences. These challenges include the development of evolutionary models that are sufficiently complex to be biologically realistic while remaining computationally tractable; deriving and implementing algorithms to efficiently estimate phylogenetic relationships that use models whose theoretical properties are well-understood and therefore interpretable; and devising ways to scale novel methodology developed to handle datasets that are increasingly large and complex. This workshop focuses on statistical modeling and the scaling of phylogenetic methods. Topics will include modeling (e.g. multispecies coalescent model with extension to networks; diversification models) and inference with speed to scale to genomic datasets, consistency, and robustness using statistical, combinatorial, and algebraic approaches. This workshop will present the latest advances in these areas and serve as a forum to spark new ideas and collaborations.

ICERM;     Email: info@icerm.brown.edu

statistical modeling, phylogenetics, combinatorics, algebra

Institute of Biomolecular Chemistry, National Research Council of Italy (ICB-CNR)

On behalf of the Organizing Committee, it is our great pleasure to welcome you to participate in the 2024 International Conference on Biotechnology and Bioengineering (14th ICBB, 2024) to be held in-person in Naples, Italy during October 28-30, 2024.

ICBB Secretariat;     Phone: [+86-37163290060];     Email: icbb@apaset.org

Biomacromolecules, Biological macromolecules, Biomaterials, biopolymers and bioenergy, Biomedicine, biopharmaceuticals, pharmacology and toxicology, Agricultural & food biotechnology, bioengineering and biomedical engineering

Biochemistry and Medicinal Chemistry, Toxicology,    Molecular Biology

Seqera

The Nextflow Summit is a bi-annual event dedicated to users and developers of Nextflow, a popular workflow management system. The summit typically features presentations, workshops, and networking opportunities focused on the latest advancements, best practices, and innovative applications of Nextflow in various fields such as bioinformatics, data science, and computational biology. It's a platform for the community to share knowledge, collaborate on projects, and discuss the future direction of Nextflow and related technologies.

Email: help.summit@nextflow.io

nextflow, seqera, bioinformatics, computational biology, biotechnology

Biotechnology,    Genomics and Bioinformatics

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Institute for Computational and Experimental Research in Mathematics (ICERM)

In this workshop, we will consider challenges and best practices in translating theory to software for phylogenetic inference. We will discuss strategies adopted by the tool development community, their relative advantages, and lessons learned through software development. We will discuss a variety of objective functions (parametric and non-parametric) and algorithmic techniques used by inference methods. We will cover parallelization and how it interacts with the choice of objective function and algorithmic technique. Finally, we will discuss best practices for evaluating new and existing software tools, not just to validate the implementation but also to study accuracy and scalability in relation to theory and usage in realistic bioinformatics pipelines. In addition to discussing how theory influences tools, we will examine how tool development can inform the theoretical questions asked.

ICERM;     Email: info@icerm.brown.edu

bioinformatics, phylogenetic inference, software development

The International Centre for Mathematical Sciences (ICMS)

This Winter School is a part of an initiative aimed at advancing mathematical education and collaboration, with a specific focus on fostering ties between diverse groups and promoting mathematical modeling as a tool to address biomedical challenges, especially within the African context. Participants will gain valuable skills and experience, contributing to the global effort to enhance mathematical competence and diversity.

Applied Mathematics (in general),    Courses and Events for Math Students and Early Career Researchers

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The progress in understanding genes and genomes has given a boost to the use of synthetic DNA for biological and technological applications. Synthetic nucleic acids play a central role in synthetic biology and in emerging therapeutic paradigms, e.g., genome editing and nucleic acid vaccines. DNA-based data storage is making significant progress, and thanks to its extreme data-density, its high durability and its timelessness, it is promising to be the next standard for data archival systems. Synthetic biology and the use of synthetic DNA for information storage applications bring important algorithmic and data analysis challenges. In synthetic biology, reagent and assay design are often driven by algorithmic approaches. Novel synthesis technologies offer cost-reduction by several orders of magnitude at the cost of increased error-rate, raising new coding-theoretic questions. This Dagstuhl Seminar aims to bring together leading biologists, chemists, engineers, computer/data scientists, and theoreticians working on synthetic biology and on DNA-based data storage, to enable joint work in small groups leading to discussing and exploring recent advancements and current challenges.

Molecular Biology,    Genomics and Bioinformatics

European Molecular Biology Organization (EMBO)

European Molecular Biology Organization (EMBO)

Molecular Biology,    Scientific Computing and Data Science