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URL: https://github.com/mpi2/LAMA
Proper Citation: LAMA (RRID:SCR_019133)
Description: Open source pipeline to automatically identify embryo dysmorphology from 3D volumetric images. Automated image analysis for developmental phenotyping of mouse embryos.
Synonyms: Lightweight Analysis of Morphological Abnormalities
Resource Type: data processing software, image analysis software, software application, software resource
Defining Citation: DOI:10.1101/2020.05.04.075853
Keywords: Phenotype, developmental phenotyping, MRC Harwell Institute, automatically identify embryo dysmorphology, 3D volumetric image, image screening, mouse embryo
Resource Name: LAMA
Resource ID: SCR_019133
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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.
Email: info_at_ dknet.org
