micca 1.2.2

micca - MICrobial Community Analysis

micca (MICrobial Community Analysis) is a software pipeline for the processing of amplicon sequencing data, from raw sequences to OTU tables, taxonomy classification and phylogenetic tree inference. The pipeline can be applied to a range of highly conserved genes/spacers, such as 16S rRNA gene, Internal Transcribed Spacer (ITS) and 28S rRNA.

For more information, visit http://micca.org/.

• Documentation (latest)

• Issues

• Github page

Key features

• supports single-end (Roche 454, Illumina MiSeq/HiSeq ,Ion Torren) as well overlapping paired-end reads (Illumina MiSeq/HiSeq);

• multithread de novo greedy clustering as well closed-reference and open-reference OTU picking protocols are available;

• state-of-the-art taxonomic classification algorithms are available (RDP and consensus-based classifier);

• fast (multithread) and and memory efficient implementation of the NAST multiple sequence alignment (MSA);

• filter low quality sequences according to the maximum allowed expected error (EE) rate %;

• simple, easy to use.

Citing micca

Davide Albanese, Paolo Fontana, Carlotta De Filippo, Duccio Cavalieri and Claudio Donati. MICCA: a complete and accurate software for taxonomic profiling of metagenomic data. Scientific Reports 5, Article number: 9743 (2015), doi:10.1038/srep09743. Link.

micca wraps third party software packages and these should be cited if they are used:

• VSEARCH used in classify, filter, mergepairs, otu and msa commands

• MUSCLE (doi: 10.1093/nar/gkh340) used in msa and tree commands

• FastTree (doi: 10.1371/journal.pone.0009490) used in the tree command

• Cutadapt (doi: 10.14806/ej.17.1.200) used in the trim command

• RDP classifier (doi:10.1128/AEM.00062-07) used in the classify command