github.com - medaka is a tool to create a consensus sequence from nanopore sequencing data. This task is performed using neural networks applied from a pileup of individual sequencing reads against a draft assembly. It outperforms graph-based methods...
ibest.github.io - ARC is a pipeline which facilitates iterative, reference guided de novo assemblies with the intent of:
Reducing time in analysis and increasing accuracy of results by only considering those reads which should assemble...
Python Programming is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics...
github.com - Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license.
Detail tutorial at https://janggu.readthedocs.io/en/latest/
USE...
modeloriented.github.io - The modelStudio package automates the explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of a serverless HTML site.
It...
gitlab.com - CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall.
Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It...
github.com - This code is used to scaffold your assemblies using Hi-C data. This version implements some improvements in the original SALSA algorithm. If you want to use the old version, it can be found in the old_salsa branch.
To use the latest version,...
github.com - Third generation sequencing (TGS) are highly promising technologies but the long and noisy reads from TGS are difficult to align using existing algorithms. Here, we present COSINE, a conceptually new method designed specifically for aligning long...
kakitone.github.io - FinisherSC, a repeat-aware and scalable tool for upgrading de novo assembly using long reads. Experiments with real data suggest that FinisherSC can provide longer and higher quality contigs than existing tools while maintaining high...