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...
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....
This fusion event is a key evolutionary marker distinguishing humans from other great apes, as humans have 46 chromosomes while chimpanzees, gorillas, and orangutans possess 48. The fusion occurred through an end-to-end joining of two ancestral...
Developed by Jérôme Arnoux and colleagues, PANORAMA is a computational tool designed to explore bacterial pangenomes—the complete collection of genetic possibilities found across a species or group of related organisms. Instead of looking at every...
A recent study by Webster and Chapman introduces Buscogeny, an open-source bioinformatics pipeline designed to make this process easier. The tool uses BUSCO (Benchmarking Universal Single-Copy Orthologs), which identifies conserved genes that are...
bmbl.sdstate.edu - DMINDA (DNA motif identification and analyses) is an integrated web server for DNA motif identification and analyses
More at http://bmbl.sdstate.edu/DMINDA2/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/
github.com - proovread : large-scale high-accuracy PacBio correction through iterative short read consensus
outperforms PacBioToCA/LSC in terms of accuracy and contiguity/sensitivity (http://dx.doi.org/10.1093/bioinformatics/btu392)
is easy to...
code.ohloh.net - I bet, this website will be your best friend in near future. This helps us to explore the existing open source codes and learn from it.
You can find some useful open source bioinformatics codes for your analysis work. You can use the left bar...