We are proud to offer the Sama-Coco dataset, a relabelling of the Coco-2017 dataset by our own in-house Sama associates (here’s more information about our people!). We invite the Machine Learning (ML) community to use it for anything you would like to do – all free of charge and ungated.
This is part of our ongoing effort to redefine data quality for the modern age, and to contribute to the wider research and development efforts of the ML community. Here are the ungated links to the two datasets (both covered by the Creative Commons license) so that you can get started right away.
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: Investigates the complex structural layout of nuclear genomes, repeating DNA sequences, and chromosomal organization in multicellular life.
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: Maps the transition from the static genome to the dynamic transcriptome (RNA) and proteome (proteins).
Once the sequences are mapped, what do they actually look like? This section explores the structural diversity of genomes across the tree of life. It discusses chromosomal organization, non-coding DNA, repetitive sequences, and how chromatin is structured within eukaryotic cells. 3. Genome Function Are you currently studying for a specific genomics course
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Next-generation long-read DNA sequencing and systems biology. Baseline CRISPR-Cas9 overview and GWAS integration. Advanced application of CRISPR, GWAS, and metabolomics. Core Examples Genomes 4: 9780815345084: Brown, T
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, non-coding RNAs, and the complex interaction of DNA-binding proteins that regulate how a cell "reads" its instructions. Comparative Genomics and Evolution : The final section moves toward systems biology
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
