
gwasrapidd - 'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog
'GWAS' R 'API' Data Download. This package provides easy access to the 'NHGRI'-'EBI' 'GWAS' Catalog data by accessing the 'REST' 'API' <https://www.ebi.ac.uk/gwas/rest/docs/api/>.
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thirdpartyclientbiomedicalinformaticsgenomewideassociationsnpassociation-studiesgwas-cataloghumanrest-clienttraittrait-ontology
8.38 score 102 stars 1 dependents 88 scripts 863 downloadseunis.habitats - EUNIS Habitat Classification
The EUNIS habitat classification is a comprehensive pan-European system for habitat identification <https://www.eea.europa.eu/data-and-maps/data/eunis-habitat-classification-1>. This is an R data package providing the EUNIS classification system. The classification is hierarchical and covers all types of habitats from natural to artificial, from terrestrial to freshwater and marine. The habitat types are identified by specific codes, names and descriptions and come with schema crosswalks to other habitat typologies.
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eunishabitat
3.48 score 6 stars 7 scripts 281 downloadsquincunx - REST API Client for the 'PGS' Catalog
Programmatic access to the 'PGS' Catalog. This package provides easy access to 'PGS' Catalog data by accessing the REST API <https://www.pgscatalog.org/rest/>.
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gwaspolygenic-risk-scorespolygenic-scores
2.98 score 8 stars 24 scripts 568 downloadsagvgd - An R Implementation of the 'Align-GVGD' Method
'Align-GVGD' ('A-GVGD') is a method to predict the impact of 'missense' substitutions based on the properties of amino acid side chains and protein multiple sequence alignments <doi:10.1136/jmg.2005.033878>. 'A-GVGD' is an extension of the original 'Grantham' distance to multiple sequence alignments. This package provides an alternative R implementation to the web version found on <http://agvgd.hci.utah.edu/>.
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3.18 score 3 stars 6 scripts 318 downloadswig - Import WIG Data into R in Long Format
Import WIG data into R in long format.
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2.70 score 8 scripts 174 downloadsgrantham - Calculate the 'Grantham' Distance
A minimal set of routines to calculate the 'Grantham' distance <doi:10.1126/science.185.4154.862>. The 'Grantham' distance attempts to provide a proxy for the evolutionary distance between two amino acids based on three key chemical properties: composition, polarity and molecular volume. In turn, evolutionary distance is used as a proxy for the impact of missense mutations. The higher the distance, the more deleterious the substitution is expected to be.
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2.65 score 3 stars 1 dependents 9 scripts 652 downloads