16S ribosomal RNA sequencing data analysis bioinformatics software tools

16S rRNA-seq analysis steps

Marker sequencing amplifies and sequences conserved but variable genomic regions, usually hypervariable regions of the essential 16S rRNA gene. One then clusters these sequences, known as amplicons, into operational taxonomic units (OTUs). This approach can handle unknown and…

16S ribosomal RNA sequencing data analysis bioinformatics software tools

Most Recent Tools

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Deblur
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Deblur

Uses error profiles to obtain putative error-free sequences from Illumina MiSeq…

Uses error profiles to obtain putative error-free sequences from Illumina MiSeq and HiSeq sequencing platforms. Deblur reduces computational demands relative to similar sub-operational-taxonomic-unit…

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LOL
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LOL Lots Of Lasso

Optimizes various methods for Lasso inference with matrix wrapper. LOL offers…

Optimizes various methods for Lasso inference with matrix wrapper. LOL offers functions for breast cancer data set of genome-wide copy number merged data and expression of some important genes, to…

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IMSA+A
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IMSA+A

Aims to accurate taxonomy classification based on metatranscriptome data of any…

Aims to accurate taxonomy classification based on metatranscriptome data of any read length that can efficiently and robustly identify bacteria, fungi, and viruses in the same sample. The IMSA+A…

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PyNAST
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PyNAST Python Nearest Alignment Space Termination

Uses as a flexible tool for aligning sequences to a template alignment. PyNAST…

Uses as a flexible tool for aligning sequences to a template alignment. PyNAST is a reimplementation of NAST (Nearest Alignment Space Termination), introducing new features that increase its…

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