BOL

ucdavis-bioinformatics-training.github.io - Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when...

Ongoing research in the group of Karine Van Doninck involves topics at the core of evolutionary biology, including the evolution of sex, genome maintenance, recombination and extreme stress resistance on different eukaryotic systems, including...

Bioinformatics tools

github.com - Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.

github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly.  Depending on your genome size you may want to convert the .wig files to the BigWig format.

To find repeats in a genome from 2 to 9 length using a Perl script, you can use the RepeatMasker tool with the "--length" option[0]. Here's a step-by-step guide: Install RepeatMasker: First, you need to install RepeatMasker on your system. You...

FASTA VALIDATOR + SEQKIT RMDUP: FASTA validation GENOMETOOLS GT GFF3VALIDATOR: GFF3 validation ASSEMBLATHON STATS: Assembly statistics GENOMETOOLS GT STAT: Annotation statistics NCBI FCS ADAPTOR: Adaptor contamination pass/fail NCBI...

Genome assembly is a powerful process that transforms raw sequencing data into a coherent representation of an organism’s genome. By following this step-by-step guide, you can successfully assemble genomes and uncover valuable biological insights....

github.com - OMTools, an efficient and intuitive data processing and visualization suite to handle and explore large-scale optical mapping profiles. OMTools includes modules for visualization (OMView), data processing and simulation. These modules together form...

eyechrom.com - It's goal is to show chromosmal data per genus. Select the genus, and the plot will show the records found for it in the Chromosome Counts Database. note: Report an issue via Gihub: github.com/roszenil/CCDBcurator and...