Metaxa2 2.2 – Identification and Classification of Small Subunit (SSU) rRNA Sequences

Metaxa2 2.2

:: DESCRIPTION

Metaxa2 is a software tool for automated detection and discrimination among ribosomal small subunit (12S/16S/18S) sequences of archaea, bacteria, eukaryotes, mitochondria, and chloroplasts in metagenomes and environmental sequencing datasets

::DEVELOPER

Johan Bengtsson

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX

:: DOWNLOAD

  Metaxa2

:: MORE INFORMATION

Citation:

Mol Ecol Resour. 2015 Mar 2. doi: 10.1111/1755-0998.12399.
metaxa2: improved identification and taxonomic classification of small and large subunit rRNA in metagenomic data.
Bengtsson-Palme J1, Hartmann M, Eriksson KM, Pal C, Thorell K, Larsson DG, Nilsson RH.

Antonie Van Leeuwenhoek. 2011 Oct;100(3):471-5. doi: 10.1007/s10482-011-9598-6. Epub 2011 Jun 15.
Metaxa: a software tool for automated detection and discrimination among ribosomal small subunit (12S/16S/18S) sequences of archaea, bacteria, eukaryotes, mitochondria, and chloroplasts in metagenomes and environmental sequencing datasets.
Bengtsson J, Eriksson KM, Hartmann M, Wang Z, Shenoy BD, Grelet GA, Abarenkov K, Petri A, Rosenblad MA, Nilsson RH.

Megraft 1.0.2 – Graft Ribosomal Small Subunit (16S/18S) Fragments onto full-length SSU Sequences

Megraft 1.0.2

:: DESCRIPTION

Megraft is a software package that grafts SSU (small subunit) fragments onto full-length SSU sequences, accounting for observed and unobserved variability, for accurate assessment of species richness and sequencing depth in metagenomics endeavors.

::DEVELOPER

Johan Bengtsson

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX

:: DOWNLOAD

 Megraft

:: MORE INFORMATION

Citation:

Res Microbiol. 2012 Jul;163(6-7):407-12. doi: 10.1016/j.resmic.2012.07.001. Epub 2012 Jul 21.
Megraft: a software package to graft ribosomal small subunit (16S/18S) fragments onto full-length sequences for accurate species richness and sequencing depth analysis in pyrosequencing-length metagenomes and similar environmental datasets.
Bengtsson J, Hartmann M, Unterseher M, Vaishampayan P, Abarenkov K, Durso L, Bik EM, Garey JR, Eriksson KM, Nilsson R