recogniZing gEnome seqUences in metagenomic aSSemblies
-
Updated
Jun 6, 2017 - Python
recogniZing gEnome seqUences in metagenomic aSSemblies
A simplified algorithm to cluster mixed-type data(numerical and categorical).
Peak Detection algorithm refine for testing the number of peaks based on different approaches
Taxonomic classification and read binning of mitochondrial DNA
Credit scoring toolkit with python
Optimal binning: monotonic binning with constraints
Binnacle: Using Scaffolds to Improve the Contiguity and Quality of Metagenomic Bins
Reference-free Binning of Metagenomics Long Reads using Coverage and Composition
Improving genome bins through the combination of different binning programs
Quick Layered Correlation-based Feature Filtering
Scorecard Development in python, 评分卡
Rapid and simple taxonomic profiling of genome and metagenome contigs
Scorecard tools
Code for classifying whether someone can repay their loan to a banking institution using a supervised learning approach: Binning and Logistic Regression.
ReMU - Response Matrix Utilities
AMBER: Assessment of Metagenome BinnERs
Data auto-binning algorithm- takes x,y,z data and organizes it in x and y user prescribed bins, auto-interpolates data gaps, then plots z
Add a description, image, and links to the binning topic page so that developers can more easily learn about it.
To associate your repository with the binning topic, visit your repo's landing page and select "manage topics."