BOL

github.com - Development packages for zlib and libbz2 are needed, as well as a standard compiler environment. On Ubuntu, this can be installed via: sudo apt-get install build-essential libtool automake zlib1g-dev libbz2-dev pkg-config On MacOS, the Apple...

bioinfo.ut.ee - FastGT is a program package for whole-genome genotyping of genome variants directly from raw sequencing reads. It is written in C and runs in Linux. FastGT uses a list of variant-specific k-mer pairs that are unique in human genome, counts the...

github.com - This is a scaffold assembler designed for stLFR reads[1]. It uses the link-reads information from stLFR reads to assemble contigs to scaffolds. Here is an illustration of this pipeline:  

optimize HiFi reads

github.com - MitoHiFi v3.2 is a python pipeline distributed under MIT License ! MitoHiFi was first developed to assemble the mitogenomes for a wide range of species in the Darwin Tree of Life Project...

github.com - This tutorial includes resources for learning more about PacBio data and bioinformatics analysis, and includes content suitable for both beginners and experts. Below are links to training modules (webinars and PowerPoint presentations) to help you...

journals.plos.org - Illumina Sequencing data can provide high coverage of a genome by relatively short (most often 100 bp to 150 bp) reads at a low cost. Even with low (advertised 1%) error rate, 100 × coverage Illumina data on average has an error in some read...

www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...

Benchmarking a new metagenomic pipeline often begins with a fundamental challenge. Imagine a bioinformatician preparing to benchmark a new metagenomic pipeline. There is no shortage of real sequencing data, but one problem quickly appears: the exact...

github.com - A program to detect recombination hotspots using population genetic data. More at https://github.com/auton1/LDhot