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URL: https://github.com/mwang87/MassQueryLanguage
Proper Citation: MassQL (RRID:SCR_025106)
Description: Software application for universal searching of Mass Spectrometry data. Open source MS query language for flexible and mass spectrometer manufacturer-independent mining of MS data. Implements common MS terminology to build consensus vocabulary to search for MS patterns in single mass spectrometry run. Enables set of mass spectrometry patterns to be queried directly from raw data.
Synonyms: Mass Spec Query Language
Resource Type: software resource, source code
Defining Citation: DOI:10.1101/2022.08.06.503000
Keywords: Mass Spectrometry data searching, mass spectrometry data, mining of MS data, common MS terminology, mass spectrometry patterns, raw data query,
Funding: AMED Japan Program for Infectious Diseases Research and Infrastructure ; Betty and Gordon Moore Foundation ; Burroughs Wellcome Fund ; Czech Science Foundation ; German Ministry for Education and Research ; German Research Foundation ; Horizon 2020 programme of the European Union ; Ministry of Innovative Development of the Republic of Uzbekistan ; National Cancer Center Research and Development Fund ; National Research Foundation of Korea ; NIAID R15 AI137996; NIAID R21 AI156669; NIGMS R01 GM107550; NIGMS R01 GM125943; NIGMS R35 GM128690; Novo Nordisk Foundation ; Denmark ; NSF ; Swedish Research Council ; U.S. Department of Energy Joint Genome Institute ; University of Michigan
Availability: Free, Available for download, Freely available
Resource Name: MassQL
Resource ID: SCR_025106
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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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