A Lean Persistent Homology Library for Python

Distances and representations of persistence diagrams

Topological Data Analysis for Python🐍

Topological Data Analysis in Python: Simplicial Complex

A repackaged version of the Kenzo program by Francis Sergeraert and collaborators.

R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.

Flexible and efficient persistent homology computation.

Find reciprocal best hits (DIAMOND or BLAST) between two (or more!) sets of sequences.

Use Thor's Axe to cut exons into their evolutionary building blocks ⚡

Identification and structural characterization of transcription factors based on supervised machine learning

Feature-aware orthology prediction tool. Provided data package: Quest for Orthologs reference gene sets 2019.

Workflow for identifying and classifying homologous gene/protein sequences

Computes polyhedral fundamental domains and homology of the moduli space of unlabeled networks on n vertices. Generalizes to polyhedral region X, finite group G with linear action.

A homology-based, computationally lightweight pipeline for discovering genes in the absence of an assembly

Simple R Codes For Visualizing Genomics Data

华中科技大学软件安全课程设计2019

A simple python project for computing persistent homology

Home for the ontology of homology and related concepts in biology

The Eilenberg-MacLane Machine (EMM)