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URL: https://github.com/Cristianetaniguti/Reads2Map
Proper Citation: Reads2Map (RRID:SCR_023593)
Description: Software package as collection of WDL workflows to build linkage maps from sequencing reads. WDL workflows to build genetic maps from sequencing reads.
Resource Type: software resource, software toolkit
Defining Citation: DOI:10.1101/2022.11.24.517847
Keywords: Genetic Map, Linkage analysis, Variant Calling, Dosage Calling
Funding: 2020-51181-32156 Bill and Melinda Gates Foundation; National Council for Scientific and Technological Development 313269/2021-1; OPP1213329 European Union’s Horizon 2020; USDA National Institute of Food and Agriculture (NIFA)
Availability: Free, Available for download, Freely available
Resource Name: Reads2Map
Resource ID: SCR_023593
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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