As part of the educational programs of the student branch of the Global Computational Biology Society in Iran
CB Insight Is a series of educational events in the field of bioinformatics designed to facilitate the understanding and application of advanced tools and concepts in this area.
In this context, efforts are made to present bioinformatics tools, analytical algorithms, and computational approaches related to biological data in a practical, precise, and comprehensible manner for students and researchers.
CB Insight Is not limited to introducing tools; it also provides a platform for deeper examination of mechanisms, analysis of algorithms, and understanding fundamental concepts in bioinformatics. The ultimate goal of this series of events is to enhance the knowledge and skills of the audience in the effective use of computational methods for analyzing biological data.
In the first event of CB Insight, we will examine a novel model called DeCovarT; a multidimensional and probabilistic framework designed for more accurate analysis of transcriptomics data. This model, taking into account the structure of gene co-expression and utilizing advanced statistical algorithms, is capable of estimating the cellular composition of complex samples with greater accuracy than conventional methods, especially in cases where cells have similar transcriptomic profiles. To access the article, you can click on the article link, and for access to the implementation code, click on GitHub.
Dr. Bastien Chassagnol
Is a PhD graduate in bioinformatics, computational medicine, and biostatistics from Sorbonne University in France. Prior to that, he completed his studies in biotechnology, data science, and biostatistics at institutions such as INSA Lyon and Claude Bernard Lyon 1 University. Dr. Chassagnol has professional experience in international companies such as Servier and ArData and is currently engaged in analyzing omics data and developing scalable and reproducible pipelines in both industry and research.
His Research Interests:
• Multi-omics Data Integration
• Transcriptomic Deconvolution
• Gene Regulatory Networks
• Machine Learning in Systems Biology
He is interested in developing statistical algorithms and machine learning models for analyzing complex biological data, including models designed to better understand cellular interactions in bulk transcriptomics data. One of his notable achievements is the development of the DeCovarT tool; a network-based approach that considers gene co-expression structure in the deconvolution process.
For more information about Dr. Bastien Chassagnol's scientific and research projects, you can visit his LinkedIn or GitHub page or contact him via email.
His research focuses on analyzing omics data, designing predictive models in personalized medicine, and using advanced machine learning algorithms for analyzing biological networks. The DeCovarT tool utilizes gene-centric modeling and multidimensional statistical structures to accurately estimate the cellular composition of bulk samples. This tool employs algorithms such as ECM and Levenberg-Marquardt and plays a significant role in accurately reconstructing an overview of gene expression.
A Scientific Roundtable
CpGPT: a Foundation Model for DNA Methylation
Orthology inference at scale with FastOMA
This is the second Healthcare, Bioinformatics, and Computational Biology(HBC) conference collaboratively being conducted by Rayazi research group and regional student group(RSG) of ISCB in Iran. The key speakers in this event are as follows:
Computational structural biology of plant NLR immune receptors: Linking structure and function
Computational proteomics data analysis
He is currently a PhD student in bioinformatics at Tehran University and a researcher at testblu diagnostics company. His areas of interest are systems biology, complex systems, dynamic modeling and artificial intelligence and deep learning.
Discovery and “off-target” mechanisms of all drugs
Exploring Bioinformatics in Industry and Academia – A Comparative Perspective
Behnoosh Seifinoferest is currently a PhD candidate in the field of biochemistry from the University of California, Merced. Her current research is in the field of investigating the structure of proteins by X-ray imaging of protein crystals. Her specialty is investigating the effects of temperature on the movements inside the protein structure.
Group study of the book "Deep Learning For Life Sciences" written by Ramsundar, Bharath, Eastman, Peter, Walters, Patrick, Pande, Vijay