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...
NGS quality control and trimming are essential steps to ensure reliable and accurate data for analysis. While the "ifs" highlight the clear benefits of these steps, the "buts" remind us of the potential pitfalls. By adopting best practices and...
github.com - Next-gen sequence data such as Illumina HiSeq reads. Data must be sorted into folders by taxon (e.g. species or genus). Paired reads in fastq format must be specified by _R1 and _R2 in the (otherwise identical) filenames. Paired and unpaired reads...
Biologists estimate that there are about 5 to 100 million species of organisms living on Earth today. Evidence from morphological, biochemical, and gene sequence data suggests that all organisms on Earth are genetically related, and the genealogical...
www.biotnet.org - A quickstart tutorial that allows to become familiar with the Python language. The exercises expect knowledge of basic concepts of programming. A group of 2nd year computer science students with no previous Python knowledge required 60'-90' to...
cbb.sjtu.edu.cn - This bookmark is created to store the useful Perl and BioPerl tutorial links at one place. Feel free to share and add more useful tutorial links here ....
www.homolog.us - Useful bioinformatics tutorial, such as
De Bruijn Graphs for NGS AssemblyAlgorithms for PacBio ReadsSoftware and Hardware Concepts for BioinformaticsFinding us in Homolog.us (Search Algorithms)NGS Genome and RNAseq Assembly - a Hands on...
This tutorial is intended to introduce users quickly to the basics of R, focusing on a few common tasks that biologists need to perform some basic analysis: load a table, plot some graphs, and perform some basic statistics. More...
microscope.readthedocs.org - Microscope Platform user documentation.
The MicroScope platform is available at this URL:
https://www.genoscope.cns.fr/agc/microscope