MIRA - The Genome and Transcriptome Assembler and Mapper

A quick note at the start. Nowadays, the scope I recommend MIRA for is:

• For genome de-novo assemblies or mapping projects, haploid organisms up to 20 to 40 megabases should be the limit.
• Do not use MIRA if you have PacBio or Oxford Nanopore reads. Then again, for polishing those assemblies with Illumina data, MIRA is really good.
• For mapping projects, do not use MIRA if you expect splicing like, e.g., RNASeq against an eukaryotic genome. Genome to genome or RNASeq to transcript is fine.
• Lastly, Illumina projects with more than 40 to 60 million reads start to be so resource intensive that you might be better served with other assemblers or mapping programs. I know some people use MIRA for de-novo RNASeq with 300 million reads because they think it's worth it, but they wait more than a month then for the calculation to finish.

Before trying to build MIRA yourself, please consider using the pre-built binaries which are often available for Linux and Mac OSX. If your really must build yourself, consult the chapter handling installation in the "Definitive Guide to MIRA" for more information on pre-requisites, available options and walkthrough for common systems. There's also a section on building documentation in the same file.

Please consult the extensive online documentation (as HTML or PDF) which covers more or less all aspects of MIRA. If questions persist, please subscribe to the MIRA talk list and mail general questions to the list via this address: [email protected]

To report bugs or ask for new features, please use the GitHub issue system

This ensures that requests do not get lost.