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...
github.com - NovoGraph: building whole genome graphs from long-read-based de novo assemblies
An algorithmically novel approach to construct a genome graph representation of long-read-based de novo sequence assemblies. We then provide a proof of...
github.com - Long Read Correction and other Correction tools
This package is a loose collection of scripts. To run the correctionroutine see the section below. Descriptions of the other scriptsare at the bottom of this file.
Contact: gurtowsk@cshl.edu
In...
github.com - GraphMap is a novel mapper targeted at aligning long, error-prone third-generation sequencing data.It is designed to handle Oxford Nanopore MinION 1d and 2d reads with very high sensitivity and accuracy, and also presents a significant...
github.com - This pipeline performs the following steps:
Assembly of nanopore reads using Canu.
Polish canu contigs using racon (optional).
Map a paired-end Illumina dataset onto the contigs obtained in the previous steps...
Complete, accurate replication of the genome is essential for life. All chromosomes in eukaryotic cells must be duplicated and then segregated to daughter cells to ensure genetic integrity and produce the large number of cells that make up a...
github.com - FLAS, a wrapper algorithm of MECAT, to achieve high throughput long read self-correction while keeping MECAT's fast speed. FLAS finds additional alignments from MECAT prealigned long reads to improve the correction throughput, and removes...
github.com - INC-Seq reads enabled accurate species-level classification, identification of species at 0.1 % abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling...
github.com - ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.
Detail paper...