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...
github.com - The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible...
orthovenn3.bioinfotoolkits.net - OrthoVenn3 is a powerful tool for comparative genomics analysis, used as a web server for full genome comparisons, annotation, and evolutionary analysis of orthologous clusters across multiple species. It has already been used by thousands of users...
emboss.sourceforge.net - needleall reads a set of input sequences and compares them all to one or more sequences, writing their optimal global sequence alignments to file. It uses the Needleman-Wunsch alignment algorithm to find the optimum alignment (including gaps) of two...
bamview.sourceforge.net - To run the application on UNIX from the downloaded jar file run the UNIX:
java -mx512m -jar BamView.jar
and extra command line options are given when '-h' is used:
java -jar BamView.jar -h
BAM files can be specified on the command line with the...
github.com - R Package to visualize alignments between two or multiple DNA sequences includinga number of functionalities to facilitate processing of alignments in PAF format.
SVbyEye, an open-source R package to visualize and annotate sequence-to-sequence...