BOL

github.com - AlignGraph2 is the second version of AlignGraph for PacBio long reads. It extends and refines contigs assembled from the long reads with a published genome similar to the sequencing genome. More...

If we only had Illumina reads, we could also assemble these using the tool Spades. You can try this here, or try it later on your own data. Get data We will use the same Illumina data as we used above: illumina_R1.fastq.gz: the Illumina...

www.cs.helsinki.fi - LoRMA is a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines. Publication: L. Salmela, R. Walve, E. Rivals, and E. Ukkonen: Accurate selfcorrection of errors in long reads using de...

github.com - This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in: Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomesMads...

github.com - Jabba is a hybrid error correction tool to correct third generation (PacBio / ONT) sequencing data, using second generation (Illumina) data. Input Jabba takes as input a concatenated de Bruijn graph and a set of sequences: the de Bruijn graph...

www.genome.umd.edu - We produce trimmed and error-corrected reads that result in assemblies with longer contigs and fewer errors. We compared QuorUM against several published error correctors and found that it is the best performer in most metrics we use. QuorUM is...

High-throughput sequencing has become indispensable in cell biology, enabling detailed insights into chromatin structure, gene expression, and regulatory dynamics. Yet, when faced with unexpectedly low mapping rates to the human genome,...

Elgg is an open source social networking engine that allows the creation of social environments such as campus social networks and internal collaborative platforms for organizations. Elgg offers a number of social networking features including...

github.com - This document contains instructions on how to use the MITObim pipeline described in Hahn et al. 2013. The full article can be found here. Kindly cite the article if you are using MITObim in your work. The pipeline was originally developed...

An R package for Interactive visualization and mapping of human chromosomes