github.com - GroopM is a metagenomic binning toolset. It leverages spatio-temoraldynamics (differential coverage) to accurately (and almost automatically)extract population genomes from multi-sample metagenomic datasets.
GroopM is largely parameter-free. Use:...
github.com - DBG2OLC:Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies
Our work is published in Scientific Reports:
Ye, C. et al. DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous...
A new “Download assemblies” button is now available in the Assembly database. This makes it easy to download data for multiple genomes without having to write scripts.
bioinf.spbau.ru - Ultimate tool for resolving repeats in genome assemblies.
Though the specific implementation of the idea of the rectangle graph approach is already included into the current SPAdes distribution, we're also releasing the Rectangle Graph Module...
www.zhanyuwang.xin - BAUM, breaks the whole genome into regions by adaptive unique mapping; then the local OLC is used to assemble each region in parallel. BAUM can: (1) perform reference-assisted assembly based on the genome of a close species; (2) or improve the...
github.com - Alonge M, Soyk S, Ramakrishnan S, Wang X, Goodwin S, Sedlazeck FJ, Lippman ZB, Schatz MC: Fast and accurate reference-guided scaffolding of draft genomes. bioRxiv 2019.
RaGOO is a tool for coalescing genome assembly contigs into...
sourceforge.net - Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.Commonly used biological software and...
github.com - This repository contains the scripts and pipeline that reproduces the results of the HCMV benchmarking study. In this study we evaluated genome assemblers and variant callers on 10 in vitro generated, mixed strain HCMV sequence samples, each...
github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly. Depending on your genome size you may want to convert the .wig files to the BigWig format.