Python library to parse, format, validate, normalize, and map sequence variants according to HGVS Nomenclature (https://hgvs-nomenclature.org/).
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Updated
Mar 16, 2026 - Python
Python library to parse, format, validate, normalize, and map sequence variants according to HGVS Nomenclature (https://hgvs-nomenclature.org/).
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
Extensible specification for representing and uniquely identifying biological sequence variation
non-redundant, compressed, journalled, file-based storage for biological sequences
Datastructures and algorithms for working with genetic variation
Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets
provides common tools and lookup tables used primarily by the hgvs and uta packages
Lightweight, portable variation registration and retrieval
This example computes three core statistics from an array (a), namely the average (AV), standard deviation (SD), and coefficient of variation (CV). Results are derived step by step and returned in array (r). Implemented in Python, MATLAB, and JavaScript.
A memory efficient tool to map and visualize evolutionary regions
OpenAPI-based REST interface to biological sequences and sequence metadata
Web site for the paper "Conducting and Analyzing Human Studies: The Role of Variation and Aggregation"
A tool for estimating sample mean and SD from summary statistics (quartiles)
Matlab Codes and Simulation of the article entitled "Optimal Control and Path Planning of a 3PRS Robot Using Indirect Variation Algorithm"
Organization-wide GitHub configuration
The code provides a collection of functions for various statistical calculations, including sorting, frequency analysis, mean calculations, and dispersion measures.
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