Introduction to the contest
Life sciences have transitioned from the accumulation phase of experimental data into the era of big data. Biological big data is set to become a significant catalyst driving the development of the life sciences industry. To foster the globalization of biotechnology and data science technology exchanges, as well as talent enhancement, China National GeneBank (CNGB) has collaborated with multiple global entities to launch the 2024 THE MAMMOTH INTERNATIONAL CONTEST ON OMICS SCIENCES. This initiative aims to address practical issues within the life sciences industry, create an innovation chain, extend the industrial chain, and construct an ecological chain. It seeks to promote the in-depth exploration and establishment of multi-omics and multimodal algorithms and solutions, thereby facilitating the deep integration of emerging technologies such as the internet, cloud computing, and artificial intelligence with the life sciences industry.
CODATA, BGI·Research, China National GeneBank
BGI Genomics, MGI
Faculty of Electrical Engineering (ETF), University of Belgrade, Institute of Molecular Genetics and Genetic Engineering
Coming soon...
Coming soon...
Coming soon...
MICOS 2024 will held two events: Algorithm Competition in EU & Bioinformatics Developer Competition
In the field of data science, spatial transcriptomics provides a rich source of multidimensional data that can be analyzed using advanced computational and statistical methods. The high dimensionality, heterogeneity, complementarity, and consistency of Spatial Transcriptomics data present challenges for data analysis. This has become a world-class problem, perhaps particularly in the field of biomedicine, where improved data analytics are required to achieve practical applications diagnostics and medicines development.
With the rapid advancement of cutting-edge technologies such as spatial omics, single-cell omics, and genomics, researchers exploring multi-omics data analysis often face challenges in selecting the right analytical tools and high technical barriers. To overcome these challenges and advance the development of multi-omics data analysis tools and algorithms, this competition aims to bring together global researchers and scientists to develop innovative tools and algorithms for multi-omics data analysis, thereby promoting the advancement of life sciences.
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