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github.com - The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible...

github.com - Run a pipeline processing fast5s to a consensus in a single command. Recommended fixed "standard" and "fast" pipelines. Interchange basecaller, assembler, and consensus components of the pipelines simply by changing the target filepath. Seemless...

github.com - ClinCNV detects CNVs in germline and somatic context in NGS data (targeted and whole-genome). We work in cohorts, so it makes sense to try ClinCNV if you have more than 10 samples (recommended amount - 40 since we estimate variances from...

www.darwintreeoflife.org - The specimens were collected by the Oxford Wytham Woods and Edinburgh Lohse lab teams. DNA extraction and sequencing was carried out by the Sanger Institute Scientific Operations teams. Assemblies were carried out by the Tree of Life team (Shane...

Submit your SARS-CoV-2 sequence data to GenBank and SRA with our new submission landing page.

github.com - an integrated bioinformatics pipeline for the detection of TE insertions in whole-genome shotgun data, called McClintock (https://github.com/bergmanlab/mcclintock), which automatically runs and standardizes output for multiple TE detection methods....

github.com - GraphUnzip, a fast, memory-efficient and accurate tool to unzip assembly graphs into their constituent haplotypes using long reads and/or Hi-C data. As GraphUnzip only connects sequences in the assembly graph that already had a potential link based...

www.ncbi.nlm.nih.gov - Genes and its related metadata could be found on https://www.ncbi.nlm.nih.gov/datasets/coronavirus/genomes/

orangedatamining.com - Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox.  

GATB Library. The Genome Analysis Toolbox with de-Bruijn graph. A large part of tools developed by the GenScale team are based on this library.These methods enable the analysis of data sets of any size on multi-core desktop...