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March 19, 2025 (online event)
March 20-21, 2025 (in Florence, Italy)
http://conference.pixel-online.net/NPSE/callforpapers.php
The event brings together teachers, researchers, practitioners and project managers from all over the world to share findings, expertise and experience about innovative science teaching and learning methodologies.
Onsite participants are welcome in Florence for two full days of thought-provoking sessions, integrated by endless networking opportunities and social events.
Online participants can contribute with asynchronous or synchronous online presentations. The latter will be delivered on 19 March via the Conference Virtual Platform.
During the Conference:
- All accepted papers will be presented onsite and online.
- Questions and Answers sessions will follow each paper presentation.
- Poster presentation sessions will be held onsite and online.
- Networking opportunities will be organized.
IMPORTANT DATES
Abstracts submission deadline: October 9, 2024
Papers submission (possibility to extend): January 22, 2025
Conference day of the ONLINE EVENT: March 19, 2025
Conference days of the ONSITE EVENT IN FLORENCE: March 20-21, 2025
All accepted papers will be included in the Conference Proceedings e-book published with ISBN, ISSN and DOI codes. The publication will be sent to be reviewed for inclusion Web of Science and SCOPUS. The publication will also be included in Academia.edu and indexed in Google Scholar.
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Creative Biolabs, a leading CRO, is proud to announce the opening of applications for its 2024 scholarship program. This initiative aims to provide financial assistance to students within the biotechnology industry, supporting their academic pursuits and research endeavors.
The Creative Biolabs Scholarship Program reflects the company's commitment to nurturing the next generation of biotech talent. As a renowned provider of biopharmaceutical development solutions, Creative Biolabs recognizes the importance of investing in the education and advancement of young scientists and researchers.
"We are excited to launch our 2024 scholarship program, which underscores our dedication to fostering innovation and excellence in the field of biotechnology," according to a scientist at Creative Biolabs. "Through this initiative, we aim to empower students to pursue their academic and professional aspirations, ultimately contributing to the advancement of the biotech industry."
The scholarship program opens to undergraduate, graduate, and doctoral students pursuing studies in science-related fields, with a focus on areas such as immunology, biochemistry, and molecular biology, which play a crucial role in the development of novel biopharmaceuticals and are key areas of focus for Creative Biolabs. Applicants will be evaluated based on academic merit, research achievements, leadership potential, and a personal statement outlining their career goals and aspirations in biotechnology.
"In addition to financial support, the recipients of the Creative Biolabs Scholarship have the chance to learn more about the exclusive resources and networking opportunities within the biotech community. This includes access to Creative Biolabs' cutting-edge technologies and platforms, such as high-throughput hybridoma generation, B cell sorting, and de novo antibody sequencing." The scientist elaborated.
High-Throughput Hybridoma Generation:
One of the key technologies offered by Creative Biolabs is the powerful Hyperdoma™, by far the most comprehensive and advanced hybridoma generation and screening platform, incorporating high-throughput screening systems like ClonePix 2, FMAT, and Celigo Image Cytometer. It fully takes advantage of the hybridoma machinery to sift out the best antibodies for any possible research, and meanwhile, its electrofusion and advanced screening approaches generate an expanded positive clone pool to largely maximize the possibility of producing the most viable clone, essential for the production of monoclonal antibodies. Utilizing this technology, researchers can significantly accelerate the process of antibody development and maximize their research efficiency.
De Novo Antibody Sequencing:
Another important solution is de novo antibody sequencing, which achieves 100% accuracy in interpreting antibody sequences and covers V, J, and C gene segments, the CDR3 region, fluorochrome mAbs and non-standard antibodies, and isobaric amino acids.
"Our scholarship recipients will have the opportunity to engage with industry-leading experts and learn more about state-of-the-art technologies like those above to further their research endeavors," said the scientist. "We believe that by investing in the education and development of talented students, we can drive innovation and advance the frontiers of biotechnology."
Interested students can find more information and apply for the scholarship program at https://www.creative-biolabs.com/scholarship-program.html.
ABOUT US
Creative Biolabs, specializing in biopharmaceutical development, offers a range of antibody discovery services. With a focus on nurturing talent, Creative Biolabs annually provides scholarships to biotech students, reflecting its dedication to education and innovation.
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As a leading supplier of a wide range of biological products including recombinant proteins, native proteins, cell/tissue lysates, etc. and a high-quality custom service provider specializing in academic research, diagnostic and therapeutic applications as well as industry requirements, Creative BioMart always strives to support young and ambitious talents in our field.
To further support their research and higher education in the biomedical and science fields, Creative BioMart is proud to announce the 2024 Scholarship Program, which will award $1,000 to an outstanding college student.
Thanks for your interest in the 2024 Creative BioMart Scholarship Program!
REQUIREMENTS
The Creative BioMart scholarship is open on a global basis. To be eligible to receive a scholarship, you must meet the following requirements:
- Enrolled as an undergraduate, graduate or Ph.D. student at an accredited college, university or research Institute.
- Major in Biology, Biochemistry, Molecular Biology, Biotechnology or a related major.
- Can provide proof of a good average grade with at least a B (GPA 3.0/4.0).
EVALUATION CRITERIA
The Creative BioMart selection committee will review each application fairly and carefully according to the following criteria:
Academic ability: In addition to grade point average, your project, Bachelor's/Master's thesis, internship experience, or detailed learning plan will be considered.
Leadership skills: The ability to organize and positively influence others inside and outside of school.
Social concerns: Purposeful and meaningful participation in volunteer activities, community service or other public service activities.
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October 10-12, 2024
Houston, TX, USA
https://icibm2024.iaibm.org
We are pleased to announce the 12th International Conference on Intelligent Biology and Medicine (ICIBM 2024), which will take place in Houston, TX, USA. ICIBM is a high-caliber conference that brings together eminent scholars with expertise in various fields of computational biology, systems biology, computational medicine, and experimentalists interested in the application of computational methods in biomedical studies. The purpose of the ICIBM is to provide a congenial atmosphere highly conducive to extensive discussion and networking. You are invited to submit papers and abstracts with unpublished, original work describing recent advances in all aspects of Bioinformatics, Intelligent Computing, Systems Biology, and Medical Informatics, including but not restricted to the following topics:
Bioinformatics:
- Genomics and genetics/epigenetics, including integrative & functional genomics, genome evolution, GWAS.
- Next-generation sequencing data analysis, 3D genome.
- Big data science including storage, analysis, modeling, visualization, and cloud.
- Precision medicine, translational bioinformatics, and medical informatics.
- Drug discovery, design, and re-purposing.
- Proteomics, and protein structure prediction, function, and interactions.
- Single-cell sequencing data analysis.
- Microbiome and Metagenomics.
Intelligent Computing and Data Science:
- Artificial intelligence, machine learning, deep learning, data mining, knowledge discovery.
- Large language model, foundation model, and computer vision in biomedical.
- Natural language processing, literature mining, semantic ontology, and health informatics.
- Neural computing, kernel methods, feature selection/extraction.
- Evolutionary computing, swarm intelligence / optimization, ensemble methods.
- Artificial life and artificial immune system.
- Biomedical image analysis and processing.
Systems Biology:
- Modeling and simulation of biological processes, pathways, networks, and interactomes.
- Modeling of cellular and multi-cellular interaction systems.
- Multi-dimensional omics data integration.
- Synthetic biological systems.
- Metabolomics, microbiome, and lipidomics.
- Self-organization in living systems (cells, organisms, swarms, ecosystems, etc.).
Medical Informatics:
- Cohort discovery, EHR-based phenotyping, predictive modeling.
- Data quality assessment or validation.
- Clinical decision support solutions.
- Informatics to address disparities in health and health care.
- Interoperability (e.g., ontology, terminology, standards, and others).
- Machine learning for clinical applications, genome, and phenome analysis/associations.
- Mobile health and wearable devices.
- Human-computer interaction and human factors
Paper Submission and Publication:
Prospective authors are invited to submit unpublished work to ICIBM 2024. All papers and abstracts will be initially submitted through the EasyChair Conference System. Selected papers of the registered authors will be recommended to be published in special issues in the following journals, subject to additional editorial approval and expected additional review by each journal: Patterns (impact factor: 6.5), Computational and Structural Biotechnology Journal (CSBJ, impact factor: 6.0), International Journal of Molecular Sciences (IJMS, impact factor: 5.6), Quantitative Biology (impact factor 3.1), Information (impact factor 3.1), Cancers (impact factor 5.2).
Abstract Submission:
Conference participants are invited to submit abstracts to ICIBM 2024. Abstract submitted to the conference should be formatted using the Abstract Template. The abstract body should be no more than 400 words. We welcome submissions of highlight papers that have been recently published or accepted for publication. In this case, the abstract should include a complete reference to the published paper. A group of experts will evaluate the submissions and select the abstracts to be presented orally or as a poster. Please submit your abstract to icibm2024.abstract[at]gmail.com.
Travel Awards:
The Travel Award, which pending on a grant application, is to encourage young scientists in training, including graduate, undergraduate and high school students, as well as postdoctoral fellows. Specific consideration will be given to qualified applicants from underrepresented populations, minority institutes, female trainees, or those who needs special financial support to attend ICIBM 2024.
IMPORTANT DATES
Deadline for original paper submission: July 5 (Fri), 2024
Notification to authors of papers: August 23 (Fri), 2024
Deadline for abstract submission: August 30 (Fri), 2024
Conference early registration opens: June 20 (Thurs), 2024
Conference early registration deadline: September 10 (Tues), 2024
Deadline for travel award application: September 11 (Wed), 2024
Conference regular registration: September 11 – October 10, 2024
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In a new Nature Communications article, researchers describe a genomic language model (gLM) capable of predicting protein co-regulation and function. The gLM, which was trained on millions of metagenomic scaffolds, has learned to interpret the language of genes, revealing the intricate dance of protein regulation and enzymatic functions. This approach is a leap forward in our understanding of the genomic blueprint and its regulatory networks.
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https://Proteopedia.Org needs a major upgrade. Proteopedia.org (free, open source) was created in 2007 as a wiki encyclopedia of protein molecular structure incorporating JSmol (http://Jmol.Org). It is by far the easiest place to create customized interactive molecular scenes, which are then immediately online for anyone to see. "Green links" illustrate statements in text with interactive molecular scenes in JSmol. Proteopedia's pages have been visited >230 million times. Users have authored thousands of articles, >100 of which have been visited >50,000 times each. Professors and students are major users, as well as researchers. Over 5,000 people have set up free accounts. A brief introductory overview of Proteopedia is here:
https://proteopedia.org/w/Proteopedia:Overview
Rejuvenation will involve upgrading the obsolete versions of linux, MySQL, and Wikimedia that it now runs with on Amazon Web Services, and making all its customized features work with the new infrastructure. Those features include support to run JSmol within Wikimedia, the Scene Authoring Tools (https://www.youtube.com/watch?v=90jonYOzzCY), green links, etc. Then the content in the present implementation could be imported into the new system using an automated script that would also need to be developed. Jaime Prilusky, who created most of the present system and has maintained it until now, would very much like help from someone familiar with the components of the infrastructure, especially current MySQL. Limited funding may be available.
Thanks from the Proteopedia Team, https://proteopedia.org/w/Proteopedia:Team
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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
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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.
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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
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| Acknowledgments |
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We wish to thank the following for their support:
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