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{ "count": 9561, "next": "?page=2", "previous": null, "list": [ { "name": "TenDNA DNA Format Converter", "description": "Tool for converting raw DNA data files between 23andMe, AncestryDNA, MyHeritage, and FamilyTreeDNA formats.", "homepage": "https://tendna.com/en/dna-converter", "biotoolsID": "tendna_dna_format_converter", "biotoolsCURIE": "biotools:tendna_dna_format_converter", "version": [], "otherID": [], "relation": [], "function": [], "toolType": [ "Web service" ], "topic": [ { "uri": "http://edamontology.org/topic_0091", "term": "Bioinformatics" } ], "operatingSystem": [ "Windows" ], "language": [ "PHP" ], "license": "MIT", "collectionID": [ "File Exchange" ], "maturity": "Mature", "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [ { "url": "https://github.com/milaza/dna-raw-data-converter-23andme-myheritage-ancestry/", "type": [ "Repository" ], "note": "Open-source documentation and source code for the TenDNA DNA Format Converter, including raw DNA format guides, compatibility notes, and conversion examples for 23andMe, AncestryDNA, MyHeritage, and FamilyTreeDNA." }, { "url": "https://tendna.com/en/dna-converter", "type": [ "Service" ], "note": "The tool supports DNA file format compatibility, raw genotype data restructuring, and cross-platform conversion for genealogy and personal genomics workflows.\n\nFeatures include:\n- raw DNA format conversion\n- compatibility between major consumer DNA services\n- support for TSV and CSV genotype files\n- online processing without manual editing" } ], "download": [], "documentation": [ { "url": "https://github.com/milaza/dna-raw-data-converter-23andme-myheritage-ancestry/", "type": [ "Other" ], "note": "GitHub repository with source code and documentation for raw DNA format conversion between major consumer genomics platforms." } ], "publication": [], "credit": [], "owner": "tendna", "additionDate": "2026-05-13T16:57:58.086143Z", "lastUpdate": "2026-05-13T16:58:40.989601Z", "editPermission": { "type": "private", "authors": [] }, "validated": 0, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": "tool" }, { "name": "Image Quality Assessment metrics (IQA) for XNAT platform", "description": "Docker images developped at the Euro-BioImaging MED-Hub and National Research Council (CNR) for the XNAT platform hosted by University of Turin. 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It has seen wide applications in pharmaceutical and biological researches. Previously, we proposed a blind docking server, CB-Dock, which has been under heavy use (over 200 submissions per day) by researchers worldwide since 2019. Here, we substantially improved the docking method by combining CB-Dock with our template-based docking engine to enhance the accuracy in binding site identification and binding pose prediction. In the benchmark tests, it yielded the success rate of ∼85% for binding pose prediction (RMSD < 2.0 Å), which outperformed original CB-Dock and most popular blind docking tools. This updated docking server, named CB-Dock2, reconfigured the input and output web interfaces, together with a highly automatic docking pipeline, making it a particularly efficient and easy-to-use tool for the bioinformatics and cheminformatics communities. 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