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                    "term": "Sequence assembly"
                },
                {
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                    "term": "Sequence composition, complexity and repeats"
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                "Windows",
                "Mac"
            ],
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                "Python"
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            ],
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            "name": "FAIR EVA for EUCAIM",
            "description": "FAIR EVA: Evaluator, Validator & Advisor has been developed to check the FAIRness level of digital objects from different repositories or data portals. It requires the object identifier (preferably persistent and unique identifier) and the repository to check. It also provides a generic and agnostic way to check digital objects.\nThis software started to be developed within IFCA-Advanced-Computing receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857647.",
            "homepage": "https://github.com/IFCA-Advanced-Computing/FAIR_eva",
            "biotoolsID": "fair_eva_4_eucaim",
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                            "term": "Format validation"
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                            "uri": "http://edamontology.org/operation_2428",
                            "term": "Validation"
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                                "term": "URL"
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                                "term": "Score"
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                            "format": []
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                    "note": null,
                    "cmd": "python scripts/batch_runner.py --plugin eucaim_catalogue --out faireva_out"
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            ],
            "toolType": [
                "Plug-in",
                "Command-line tool",
                "Web service"
            ],
            "topic": [
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                    "uri": "http://edamontology.org/topic_4012",
                    "term": "FAIR data"
                }
            ],
            "operatingSystem": [
                "Linux"
            ],
            "language": [
                "Python"
            ],
            "license": "Apache-2.0",
            "collectionID": [
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            "maturity": "Mature",
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                }
            ],
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                    "url": "https://github.com/IFCA-Advanced-Computing/FAIR_eva/blob/main/docs/index.md",
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                },
                {
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                        "Maintainer",
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                    ],
                    "note": "Creator and devloper of the main package FAIR EVA.\nThis software started to be developed within IFCA-Advanced-Computing receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857647."
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                    "email": null,
                    "url": null,
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                    "rorid": null,
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                    "typeEntity": "Person",
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                    "url": null,
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            "name": "AggreProt",
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            ],
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                "Web service"
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                {
                    "uri": "http://edamontology.org/topic_0123",
                    "term": "Protein properties"
                }
            ],
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                "Windows",
                "Mac",
                "Linux"
            ],
            "language": [
                "Java",
                "JavaScript"
            ],
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                "Czech Republic"
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                    "pmid": null,
                    "pmcid": null,
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                    "metadata": {
                        "title": "AggreProt: A web server for predicting and engineering aggregation prone regions in proteins",
                        "abstract": "",
                        "date": "2024-07-05T00:00:00Z",
                        "citationCount": 17,
                        "authors": [],
                        "journal": "Nucleic Acids Research"
                    }
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                    "email": null,
                    "url": null,
                    "orcidid": null,
                    "gridid": null,
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                {
                    "name": "Simeon Borko",
                    "email": null,
                    "url": null,
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                },
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        {
            "name": "SoluProtMutsupDB",
            "description": "A manually curated database of protein solubility changes upon mutations.",
            "homepage": "http://loschmidt.chemi.muni.cz/soluprotmutdb",
            "biotoolsID": "soluprotmutsupdb",
            "biotoolsCURIE": "biotools:soluprotmutsupdb",
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                    "operation": [
                        {
                            "uri": "http://edamontology.org/operation_0409",
                            "term": "Protein solubility prediction"
                        },
                        {
                            "uri": "http://edamontology.org/operation_3436",
                            "term": "Aggregation"
                        },
                        {
                            "uri": "http://edamontology.org/operation_0331",
                            "term": "Variant effect prediction"
                        }
                    ],
                    "input": [],
                    "output": [],
                    "note": null,
                    "cmd": null
                }
            ],
            "toolType": [
                "Command-line tool"
            ],
            "topic": [
                {
                    "uri": "http://edamontology.org/topic_0199",
                    "term": "Genetic variation"
                },
                {
                    "uri": "http://edamontology.org/topic_3474",
                    "term": "Machine learning"
                },
                {
                    "uri": "http://edamontology.org/topic_0078",
                    "term": "Proteins"
                },
                {
                    "uri": "http://edamontology.org/topic_0219",
                    "term": "Data submission, annotation and curation"
                },
                {
                    "uri": "http://edamontology.org/topic_3068",
                    "term": "Literature and language"
                }
            ],
            "operatingSystem": [
                "Mac",
                "Linux",
                "Windows"
            ],
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            "license": null,
            "collectionID": [],
            "maturity": null,
            "cost": "Free of charge",
            "accessibility": "Open access",
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            "elixirCommunity": [],
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            "publication": [
                {
                    "doi": "10.1016/J.CSBJ.2022.11.009",
                    "pmid": "36420168",
                    "pmcid": "PMC9678803",
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                    "metadata": {
                        "title": "SoluProtMutDB: A manually curated database of protein solubility changes upon mutations",
                        "abstract": "© 2022 The Author(s)Protein solubility is an attractive engineering target primarily due to its relation to yields in protein production and manufacturing. Moreover, better knowledge of the mutational effects on protein solubility could connect several serious human diseases with protein aggregation. However, we have limited understanding of the protein structural determinants of solubility, and the available data have mostly been scattered in the literature. Here, we present SoluProtMutDB – the first database containing data on protein solubility changes upon mutations. Our database accommodates 33 000 measurements of 17 000 protein variants in 103 different proteins. The database can serve as an essential source of information for the researchers designing improved protein variants or those developing machine learning tools to predict the effects of mutations on solubility. The database comprises all the previously published solubility datasets and thousands of new data points from recent publications, including deep mutational scanning experiments. Moreover, it features many available experimental conditions known to affect protein solubility. The datasets have been manually curated with substantial corrections, improving suitability for machine learning applications. The database is available at loschmidt.chemi.muni.cz/soluprotmutdb.",
                        "date": "2022-01-01T00:00:00Z",
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                        "authors": [
                            {
                                "name": "Velecky J."
                            },
                            {
                                "name": "Hamsikova M."
                            },
                            {
                                "name": "Stourac J."
                            },
                            {
                                "name": "Musil M."
                            },
                            {
                                "name": "Damborsky J."
                            },
                            {
                                "name": "Bednar D."
                            },
                            {
                                "name": "Mazurenko S."
                            }
                        ],
                        "journal": "Computational and Structural Biotechnology Journal"
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                    "name": "Jan Velecký",
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            ],
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            "name": "Asparaginase database",
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                    "note": "Nolden, Marco, et al. \"The Medical Imaging Interaction Toolkit: challenges and advances: 10 years of open-source development.\"\nInternational journal of computer assisted radiology and surgery 8 (2013): 607-620",
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                        "title": "The medical imaging interaction toolkit",
                        "abstract": "Thoroughly designed, open-source toolkits emerge to boost progress in medical imaging. The Insight Toolkit (ITK) provides this for the algorithmic scope of medical imaging, especially for segmentation and registration. But medical imaging algorithms have to be clinically applied to be useful, which additionally requires visualization and interaction. The Visualization Toolkit (VTK) has powerful visualization capabilities, but only low-level support for interaction. In this paper, we present the Medical Imaging Interaction Toolkit (MITK). The goal of MITK is to significantly reduce the effort required to construct specifically tailored, interactive applications for medical image analysis. MITK allows an easy combination of algorithms developed by ITK with visualizations created by VTK and extends these two toolkits with those features, which are outside the scope of both. MITK adds support for complex interactions with multiple states as well as undo-capabilities, a very important prerequisite for convenient user interfaces. Furthermore, MITK facilitates the realization of multiple, different views of the same data (as a multiplanar reconstruction and a 3D rendering) and supports the visualization of 3D+t data, whereas VTK is only designed to create one kind of view of 2D or 3D data. MITK reuses virtually everything from ITK and VTK. Thus, it is not at all a competitor to ITK or VTK, but an extension, which eases the combination of both and adds the features required for interactive, convenient to use medical imaging software. MITK is an open-source project (www.mitk.org) © 2005 Elsevier B.V. All rights reserved.",
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                        "authors": [
                            {
                                "name": "Wolf I."
                            },
                            {
                                "name": "Vetter M."
                            },
                            {
                                "name": "Wegner I."
                            },
                            {
                                "name": "Bottger T."
                            },
                            {
                                "name": "Nolden M."
                            },
                            {
                                "name": "Schobinger M."
                            },
                            {
                                "name": "Hastenteufel M."
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                            {
                                "name": "Kunert T."
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                            {
                                "name": "Meinzer H.-P."
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                        "title": "The medical imaging interaction toolkit: Challenges and advances: 10 years of open-source development",
                        "abstract": "Purpose: The Medical Imaging Interaction Toolkit (MITK) has been available as open-source software for almost 10 years now. In this period the requirements of software systems in the medical image processing domain have become increasingly complex. The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control. Methods: MITK provides modularization and extensibility on different levels. In addition to the original toolkit, a module system, micro services for small, system-wide features, a service-oriented architecture based on the Open Services Gateway initiative (OSGi) standard, and an extensible and configurable application framework allow MITK to be used, extended and deployed as needed. A refined software process was implemented to deliver high-quality software, ease the fulfillment of regulatory requirements, and enable teamwork in mixed-competence teams. Results: MITK has been applied by a worldwide community and integrated into a variety of solutions, either at the toolkit level or as an application framework with custom extensions. The MITK Workbench has been released as a highly extensible and customizable end-user application. Optional support for tool tracking, image-guided therapy, diffusion imaging as well as various external packages (e.g. CTK, DCMTK, OpenCV, SOFA, Python) is available. MITK has also been used in several FDA/CE-certified applications, which demonstrates the high-quality software and rigorous development process. Conclusions: MITK provides a versatile platform with a high degree of modularization and interoperability and is well suited to meet the challenging tasks of today's and tomorrow's clinically motivated research. © 2013 CARS.",
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