BOL

www.biostars.org - MAKER is a great tool for annotating a reference genome using empirical and ab initiogene predictions. GMOD, the umbrella organization that includes MAKER, has some nice tutorials online for running MAKER. However, these were quite...

amos.sourceforge.net - We present the first collection of tools aimed at automated genome assembly validation. This work formalizes several mechanisms for detecting mis-assemblies, and describes their implementation in our automated validation pipeline,...

geval.sanger.ac.uk - The gEVAL Browser allows the evaluation of genome assemblies through its tools and pre-computed analyses. The strength of this browser is the ability to navigate an up to date assembly and identify problematic regions and assist in...

www.melbournebioinformatics.org.au - Written and maintained by Simon Gladman - Melbourne Bioinformatics (formerly VLSCI) Protocol Overview / Introduction In this protocol we discuss and outline the process of de novo assembly for small to medium sized...

sourceforge.net - Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.Commonly used biological software and...

In this protocol, we address and describe the de novo assembly method for small to medium-sized genomes.

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...

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.