BOL

cmdcolin.github.io - Comparative genomics visualisation tools !

maq.sourceforge.net - Maq stands for Mapping and Assembly with Quality It builds assembly by mapping short reads to reference sequences. Maq is a project hosted by SourceForge.net. The project page is available athttp://sourceforge.net/projects/maq/....

bioinformatics.oxfordjournals.org - Summary: Mate pair library sequencing is an effective and economical method for detecting genomic structural variants and chromosomal abnormalities. Unfortunately, the mapping and alignment of mate pair read pairs to a reference genome is a...

Structural variation caller tools using long reads

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...

bitbucket.org - TAndem REpeat ANalyzer -TAREAN – is a computational pipeline for unsupervised identification of satellite repeats from unassembled sequence reads. The pipeline uses low-pass whole genome sequence reads and performs their...

apps.bioconnector.virginia.edu - Coverage / Read Count Calculator Calculate how much sequencing you need to hit a target depth of coverage (or vice versa). Instructions: set the read length/configuration and genome size, then select what you want to calculate. Written by Stephen...

https://plast.inria.fr/ - PLAST is a fast, accurate and NGS scalable bank-to-bank sequence similarity search tool providing significant accelerations of seeds-based heuristic comparison methods, such as the Blast suite of algorithms. Relying on unique software architecture,...

github.com -  Liftoff, an accurate tool that maps annotations in GFF or GTF between assemblies of the same, or closely-related species. Unlike current coordinate lift-over tools which require a pre-generated “chain” file as input, Liftoff is a...

github.com - ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.  Detail paper...