QCTools will benefit not only moving image collections but also traditional archives that include video collections that may fall into neglect. QCTools allows archivists to not be required to overly rely on visual queues and guesswork for the acknowledgment of problematic video quality. Archivists need to be able to trust that the digitized files are up to a certain level of quality, and have quantifiable data to prove it. QCTools can help archivists understand what is wrong with certain files and then take steps to correct or explain these errors. Moving image archives that collect digital video may receive digitized content with undiagnosed playback problems and errors. Archivists, librarians, and conservators.Potential users of the quality control tools include specialists and non-specialists: Who can benefit from using QCTools (and how)? QCTools incorporates archival standards and best practices for reformatting and capturing metadata that enables the long-term preservation of and access to the original artifact, the digital object, and the associated catalog record. The goal of the project is to cut down the time it takes to perform high-quality video preservation and direct time towards preservation issues that are solvable - for example, identifying tapes that would benefit from a second transfer, saving not only the precious time of preservationists and institutional resources, but giving collections a necessary advantage in the bigger race against time to preserve their significant cultural artifacts. QCTools (Quality Control Tools for Video Preservation) is a free and open source software tool that helps users analyze and understand their digitized video files through use of audiovisual analytics and filtering to help users detect corruptions or compromises in the results of analog video digitization or in born-digital video. Are there additional resources that may be useful to me?.How can I integrate the QCTools export feature into my workflow?.What video formats does QCTools accept?.View the Project on GitHub bavc/qctools Getting Started with QCTools QCTools is funded by the National Endowment for the Humanities and the Knight Foundation, and is developed by the Bay Area Video Coalition. Getting supportįor more information or questions, please contact the OXSTATGEN mailing list at oxstatgen (at) jiscmail.ac.QCTools (Quality Control Tools for Video Preservation) is a free and open source software tool that helps users analyze and understand their digitized video files through use of audiovisual analytics and filtering. Genet (2005) 76:887-93.įurther acknowledgements can be found on the QCTOOL repository main page. In addition, QCTOOL contains the SNP-HWE code by Jan Wigginton et al., described in "A Note on Exact Tests of Hardy-Weinberg Equilibrium", Wigginton et al, Am. The following people contributed to the design and implementation of qctool: See the download page for full details on obtaining and installing QCTOOL. To obtain precompiled binaries from this folder. The QCTOOL source code is currently hosted at. Version 1 is still available but is now unsupported. IMPORTANT: this page documents QCTOOL version 2, which differs in several important ways from the See the basic usage page for a quick start on running QCTOOL, and theĭiagram of options for an overview of how QCTOOL works. QCTOOL is designed to be as easy-to-use as possible and we hope you find it so. To compute 'genetic risk predictor' scores.To compute between-sample relatedness and principal components.To compare genotypes for individuals typed or imputed or phased in different datasets.To compute LD metrics between variants.To annotate variants with information from BED files, sequence from FASTA files, or with genetic map positions.by updating data fields or aligning alleles to a reference sequence based on information in a strand file. To manipulate datasets in various ways - e.g.The UK Biobank imputed data full release). Including full support for the BGEN v1.2 format that has been used for To convert dataset between file formats.To compute per-variant and per-sample QC metrics.QCTOOL is a command-line utility program for manipulation and quality control of gwas datasets and other genome-wide data. A tool for quality control and analysis of gwas datasets.
0 Comments
Leave a Reply. |