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A repository and search tool for worldwide country-specific pharmacogenetic allele frequencies Polymorphisms in drug metabolizing enzymes, drug transporters, and major histocompatibility complex genes cause significant inter-individual differences in drug efficacy and safety. The pattern and complexity of these variations differ across populations. PharmFreq is a global repository of pharmacogenetic frequency data from over 10 million individuals across hundreds of countries, aggregating data on pharmacogenomic alleles from over 1200 studies. The majority of studies focus on East Asian and European populations. The number of studies per country correlates with population size and GDP, with significant coverage disparities. All data is accessible via an interactive web dashboard at pharmfreq.com, providing a comprehensive resource for exploring pharmacogenetic diversity and guiding research in underrepresented populations. Note This repository contains a lightweight version of the code and database files used in our publication. For access to the most recent version of the database and the full web application, please visit www.pharmfreq.com. What's Included Code: A streamlined version of the shiny app. Inital database files.For detailed documentation and updates and most recent version of the database, refer to the main website linked above. Please cite the following paper if you use the data, website, or code. The resource is published and can be accessed here: PharmFreq: a comprehensive atlas of ethnogeographic allelic variation in clinically important pharmacogenesDOI: 10.1093/nar/gkae1016.

Quantitative properties and tract profiles of the connections linking three key attentional control nodes located in the frontal, parietal and temporal lobes

The v0.0.4 release adds improved xarray support, as well as JPL GPS data. Changes Update instrument tests with new test class Support xarray datasets through cdflib Preferentially loads data into pandas using pysatCDF if installed Adds pysatCDF to optional requirements invoked via '[all]' option at installation New Instruments JPL GPS ROTI Bug Fixes Fixed a bug in metadata when loading GOLD Nmax data. Fixed a bug in user feedback for methods.cdaweb.download Fixed a bug in loading ICON IVM data (added multi_file_day = True) Allow for array-like OMNI HRO meta data Fixed date handling for OMNI HRO downloads Updated filenames for TIMED SABER Maintenance Reduce duplication of code in instrument modules Include flake8 linting of docstrings and style in Github Actions Move OMNI HRO custom functions to a methods module Deprecate OMNI HRO custom functions in instrument module Update GitHub actions to the latest versions Added downstream test to test code with pysat RC Remove deprecated convert_timestamp_to_datetime calls Remove deprecated pandas syntax Added version cap for xarray 2022.11 Documentation New logo added

gCube Ckan metadata publisher widget is a GWT Widget that allows to publish metadata on the d4science ckan data catalogue. Support Bugs and support requests can be reported in the gCube issue tracking tool: https://support.d4science.org/projects/gcube/ Changes in this version: Minor update due to interface changed ──────────This software is part of the gCube Framework: an open-source software toolkit used for building and operating Hybrid Data Infrastructures. Find out more at https://www.gcube-system.org/.

First Release of a software that is created for Automating Knowledge Discovery and Data Mining Process

This code release accompanies Gasperi et al, Communications Biology 2021

These are the weights required to run the brain extraction tool provided at https://github.com/CAAI/HD-CTBET. The repo is a fork of the original model for MRI-based BET: https://github.com/MIC-DKFZ/hd-bet

MendelPlots v0.1.6 Diff since v0.1.5 Merged pull requests: make manhattan annotations appear before circled dots (#3) (@biona001) compat update (#10) (@kose-y)