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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A GitBook version of the R Crash Course self-tutorials: https://colauttilab.github.io/RCrashCourse

Python code for versatile Functional Ontology Assignments for Metagenomes searching via Hidden Markov Model (HMM) with environmental focus of shotgun metaomics data

A tool for domain based annotation with databases from the Conserved Domains Database

A comprehensive bacterial core gene-set annotation pipeline based on Roary and pairwise ILPs

Protocol for finding informative protein families and then using them to score omic samples

This repository contains all source code in the reconstructor python package, installation instructions, important file dependencies, and benchmarking scores for reconstructor models. Reconstructor…

A platform for targeted annotation of (meta)genomic and (meta)transcriptomic datasets using HMM sets.

MerCat2: python code for versatile k-mer counting and diversity estimation for database independent property analysis for metaome data

P6