It is a great pleasure to invite you to the fourth edition of the BioCARLA, a CARLA event workshop biology, biomedical, and computer science researchers come together to discuss their research integrating high-performance computing, machine learning (ML), big data analytics techniques, and large-scale multi-omics data sets.
The biological and biomedical research field has undergone a significant transformation with the advent of high-throughput technologies. These innovative approaches have enabled the generation of multi-layered omics data, including genomes, transcriptomes, proteomes, metabolomes, microbiomes, epigenomes, and disease and patient phenotyping representations.
Further improvements are required to implement omics data on a large scale, including data acquisition, ML model robustness, interpretability methods in ML, accuracy performance, time-execution efficiency, and cost-effectiveness. Common usage of omics technologies necessitates the HPC vision and direction for leveraging on-demand bioinformatics systems supported by a serious conceptual shift in research paradigm for many researchers in biological, biomedical clinical, scientific training, and performance evaluation.
The BioCARLA workshop provides a forum for discussing the challenges and exploring new directions in omics research across various fields, including biology, biomedical research, and computer science.
We look forward to welcoming you to the CARLA 2023 conference!
Call for papers
BioCARLA welcomes submissions from biology, biomedical, and computer science researchers who are involved in multidisciplinary research teams or startups. We invite original research papers integrating high-performance computing, machine learning, big data analytics techniques, and large-scale multi-omics data sets for discussion at the conference. Submissions should be of high quality and should present novel research findings or innovative approaches to existing challenges in the field.
- Work presentation on a regular paper of 4 to 8 pages.
- Poster presentation on a short paper of a maximum of 2 pages.
- Foundation and practical application to integrate Bioinformatics, System Biology, and HPC
- Design, implementation, and integration of biological workflow using HPC technologies
- Network biological and evolutionary methods for multi-omics integration
- Computational support of Bioinformatics analyses in parallel and distributed environments
- Best practices in HPC management and development for Bioinformatics and System Biology
- HPC, Big Data Analytics and Integration for Multi-Omics Biomedical Data
- Analysis, management, and performance evaluation of Big Data Omics Analytics using HPC
- Bioinformatics training activities - computational genomics, metagenomics, phylogenomics, proteomics, and
- proteogenomics - applied in HPC technologies
- Other omics and the integration for systems biology are also encouraged to submit
- Predictive modeling of risks, diseases, and patients' outcomes using machine learning and deep learning techniques.