A software program designed for the identification of ribosomal RNA (rRNA) genes from metagenomic fragments based on hidden Markov models (HMMs). meta_rna provides rRNA gene predictions with high sensitivity and specificity on artificially fragmented genomic DNAs.
Determines the location of ribosomal RNA genes in genomes. Barrnap is a bacterial ribosomal RNA predictor for bacteria (5S,23S,16S), archaea (5S,5.8S,23S,16S), metazoan mitochondria (12S,16S) and eukaryotes (5S,5.8S,28S,18S). The software supports multithreading and roughly linear speed-ups can be expected with more CPUs.
Facilitates the rapid detection of 16S rDNA fragments from amongst millions of sequences in metagenomic data sets with high detection sensitivity. Performance evaluation with data sets/database variants simulating typical metagenomic scenarios indicates the significantly high detection sensitivity of i-rDNA. Moreover, i-rDNA can process a million sequences in less than an hour on a simple desktop with modest hardware specifications.
Topics (10): De novo sequencing analysis, Mycobacterium bovis, Homo sapiens, Gram-Positive Bacterial Infections, Gram-Positive Bacterial Infections, Meningitis, Central Nervous System Infections, Central Nervous System Bacterial Infections, Gram-Positive Bacterial Infections, Tuberculosis, Pulmonary