Bioinformatics.org
|
|
Research
|
Online databases
Online analysis tools
Online education tools
|
Development
|
|
Forums
|
News & Commentary
Jobs Forum (Career Center)
|
|
News & Commentary - Summary
|
|
|
|
News & Commentary This group has not yet submitted a description.
Public areas
|
This project has many places for you to explore and participate. The icons displayed below are also available at the top of the page for easy navigation.
Project homepage
This home page points to the official page for this project, which may or may not be hosted at Bioinformatics.org.
Public forums
There are 0 messages in
0 forums.
Project manager
There are 0 open, public tasks, 0 total.
Support tickets
There are 0
open tickets, 0 total.
Mailing lists
There are 0 public mailing lists.
Public surveys
There are 0 active surveys.
SCM repository
The SCM repository is a place for this project to store its source code. Members have access to change this master repository, while anonymous users may browse the most recent development version of this project.
Instructions
Download directory
Projects may choose to have files other than their main releases available via this directory.
|
|
Downloads
|
This project has not defined any download modules.
|
Latest announcements
|
|
The ARC Opportunity is seeking innovative approaches to tackle the challenge of the "Unknome" – a collection of genes that have been overlooked in research for over 20 years. These genes are difficult to study and often lack funding, leading to a research gap. The complexity of cellular processes and the labor-intensive nature of generating relevant datasets have hindered the development of models that can predict how genes affect cell behavior. The initiative is calling for high-throughput methods to accurately annotate these unknown genes, which could significantly advance our understanding of genetics.
https://www.darpa.mil/ARC/DUF
https://www.youtube.com/watch?v=AFOPZw8qAJc
|
September 16-18, 2024
Dipartimento di Informatica, Pisa, Italy
https://biomedinfo.di.unipi.it/cmsb2024/
CMSB 2024 solicits original research articles, tool papers, posters, and highlight talks on the modelling and analysis of biological systems and networks, as well as the analysis of biological data. The conference brings together researchers from across biological, mathematical, computational, and physical sciences who are interested in the modelling, simulation, analysis, inference, design, and control of biological systems. It covers the broad field of computational methods and tools in systems and synthetic biology and their applications.
TOPICS
Topics of interest include, but are not limited to:
- Formalisms for modelling biological processes
- Methods and tools for biological system analysis, modelling and simulation
- Frameworks for model verification, validation, analysis, and simulation of biological systems
- High-performance methods for computational systems biology
- Identification of biological systems
- Applications of machine learning and data analytics in biology
- Network modelling, analysis, inference
- Automated parameter and model synthesis
- Model integration and biological databases
- Multi-scale modelling and analysis methods
- Design, analysis, and verification methods for synthetic biology
- Methods for biomolecular computing and engineered molecular devices
- Data-based approaches for systems and synthetic biology
- Optimality and control of biological systems
- Modelling, analysis and control of microbial communities
The CMSB 2024 proceedings will be published in the Springer LNCS/LNBI series and indexed by ISI Web of Science, Scopus, ACM Digital Library, DBLP, and Google Scholar.
Conference organizers:
Roberta Gori, University of Pisa (Italy)
Paolo Milazzo, University of Pisa (Italy)
Mirco Tribastone, IMT School for Advanced Studies Lucca (Italy)
Invited speakers:
Juliana Bowles, University of St Andrews, (UK)
Madalena Chaves, INRIA, Centre Inria d'Université Côte d'Azur (France)
Karoline Faust, KU Leuven (Belgium)
Corrado Priami, University of Pisa (Italy)
IMPORTANT DATES
Abstract submission (regular/tool papers): April 14, 2024
Paper submission (regular/tool papers): April 21, 2024
Notification: June 9, 2024
Camera ready: June 23, 2024
Poster/highlight talk: July 9, 2024
Conference: September 16-18, 2024
CONTACT
All questions about the conference should be emailed to cmsb2024[at]easychair.org.
|
March 4-8, 2024
Live online (synchronous), max 18 participants
Sessions from Monday to Friday, 13:00 to 17:00 (Madrid time zone)
https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-bayesian-inference-practice/
INSTRUCTORS
Dr. Daniele Silvestro (University of Gothenburg, Sweden) and Tobias Andermann (University of Gothenburg, Sweden)
COURSE OVERVIEW
This course is based on the assumption that the easiest way to understand the principles of Bayesian inference and the functioning of the main algorithms is to implement these methods yourself.
The instructors will outline the relevant concepts and basic theory, but the focus of the course will be to learn how to do Bayesian inference in practice. He will show how to implement the most common algorithms to estimate parameters based on posterior probabilities, such as Markov Chain Monte Carlo samplers, and how to build hierarchical models.
He will also touch upon hypothesis testing using Bayes factors and Bayesian variable selection.
The course will take a learn-by-doing approach, in which participants will implement their own MCMCs using R or Python (templates for both languages will be provided).
After completion of the course, the participants will have gained a better understanding of how the main Bayesian methods are implemented in many programs used in biological research work. Participants will also learn how to model at least basic problems using Bayesian statistics and how to implement the necessary algorithms to solve them.
Participants are expected to have some knowledge of R or Python (each can choose their preferred language), but they will be guided "line-by-line" in writing their script. The aim is that, by the end of the week, each participant will have written their own MCMC – from scratch! Participants are encouraged to bring their own datasets and questions and we will (try to) figure them out during the course and implement scripts to analyze them in a Bayesian framework.
More information and registration at https://www.transmittingscience.com/courses/statistics-and-bioinformatics/introduction-bayesian-inference-practice/ or writing courses[at]transmittingscience.com
Best regards,
Sole
Soledad De Esteban-Trivigno
|
July 15, 2024 - July 18, 2024
Shanghai, China
https://ieeeaitest.com/wp-content/uploads/2023/12/CFP-6th-IEEE-AITest-2024.pdf
CALL FOR PAPERS
Artificial Intelligence (AI) technologies are widely used in computer applications to perform tasks such as monitoring, forecasting, recommending, predicting, and statistical reporting. They are deployed in a variety of systems, including driverless vehicles, robot-controlled warehouses, financial forecasting applications, and security enforcement and are increasingly integrated with cloud/fog/edge computing, big data analytics, robotics, Internet-of-Things (IoT), mobile computing, smart cities, smart homes, intelligent healthcare, and many more. Despite this dramatic progress, the quality assurance of existing AI application development processes is still far from satisfactory, and the demand for demonstrable levels of confidence in such systems is growing. Software testing is a fundamental, effective, and recognized quality assurance method which has shown its cost-effectiveness to ensure the reliability of many complex software systems. However, the adaptation of software testing to the peculiarities of AI applications remains largely unexplored and needs extensive research to be performed. On the other hand, the availability of AI technologies provides an exciting opportunity to improve existing software testing processes, and recent years have shown that machine learning, data mining, knowledge representation, constraint optimization, planning, scheduling, multi-agent systems, etc. have real potential to positively impact software testing. Recent years have seen a rapid growth of interest in testing AI applications as well as the application of AI techniques to software testing. This conference provides an international forum for researchers and practitioners to exchange novel research results, articulate the problems and challenges from practices, deepen our understanding of the subject area with new theories, methodologies, techniques, process models, impacts, etc., and improve the practices with new tools and resources.
IMPORTANT DATES
Abstract Registration Due: March 8, 2024
Submission Deadline: April 1, 2024
Notification Due: June 1, 2024
Final Version Due: June 15, 2024
|
|
|
Exciting News!📚🔬
I am thrilled to announce that my book proposal has been accepted by Springer Nature for an upcoming publication on cutting-edge topics in Bioinformatics. We are inviting passionate authors to contribute to this comprehensive work, covering various crucial areas such as Next-Generation Sequencing, Single-Cell Genomics, Machine Learning in Bioinformatics, and more.
If you have groundbreaking research or insights to share in any of the chapters listed below, we would love to hear from you! 🌱🧬
1. Introduction to Bioinformatics: Past, Present, and Future
2. Next-Generation Sequencing and Genomic Data Analysis
3. Single-Cell Genomics and Transcriptomics Analysis
4. Metagenomics and Microbiome Analysis
5. Structural Bioinformatics and Protein Structure Prediction
6. Machine Learning and Artificial Intelligence in Bioinformatics
7. Integrative Omics and Systems Biology
8. Bioinformatics in Precision Medicine and Personalized Healthcare
9. Drug Discovery and Repurposing through Bioinformatics
10. Bioinformatics in Crop Improvement and Agricultural Genomics
11. Immunoinformatics and Vaccine Development
Don't miss the opportunity to be part of this book📕! The deadline for submissions is 31 March 2024. Let's push the boundaries of Bioinformatics together. 🚀 #Bioinformatics #ResearchOpportunity #SpringerNature #AcademicPublishing
👉🏻Hurry up! Only chapter 11 is available.
For any queries, please reply to spnaturebook[at]gmail.com
|
|
November 24-26, 2023
Vellore Institute of Technology
Vellore, India
https://vit.ac.in/school-bio-sciences-technology-sbst/indian-conference-bioinformatics-2023-inbix23-0
Late-breaking abstracts end this Sunday. Join and experience the bioinformatics gala!
Five reasons to attend Inbix2023: Indian Conference on Bioinformatics 2023:
1. It is hosted by VIT, Vellore, the top 10 private universities in India taking leaps and bounds in research in the region, and organised by Bioclues.org, India's largest bioinformatics society working for Mentor-Mentee relationships.
2. Scintillating keynotes and Life Time Achievement Awardees by revered Kenta Nakai, PB Kavi Kishor, PK Gupta and Jayaraman K Valadi and 18 other speakers across all states of India, some of the excellent speakers in the areas of #bioinformatics, #proteomics #machinelearning #genetics and #functionalgenomics
3. Two panel discussions on "Millet Bioinformatics", elevator pitch and our unique video abstracts, all free for life members
4. Have you ever heard of 12-17 year old children introduced to bioinformatics and coding? Yes, you guessed it right! We have our prestigious bioinformatics for school children (BIXS) programme through #Bioclues and this time as well, children will enthrall you with their works as we take you through students projects
5. Team Bioclues #camaraderie through the three day event where we take pride in putting it and a preconference workshop on 23rd magnifies the spirit of bioinformaticshood!
Come, join us! You will be missing something, if you haven't registered yet! What's more! The deadline for Late-breaking abstract submission ends soon: https://easychair.org/cfp/Inbix2023
#research #event #india #coding #projects #bioinformatics
|
|
|
|
|