High Throughput Sequencing of Stable Isotope Probing Data Analysis

Functions for analyzing high throughput sequencing stable isotope probing (HTS-SIP) data. Analyses include high resolution stable isotope probing (HR-SIP), multi-window high resolution stable isotope probing (MW-HR-SIP), and quantitative stable isotope probing (q-SIP).


HTSSIP

Travis-CI Build Status

HTSSIP is an R package for analyzing high throughput sequence data from nucleotide stable isotope probing (DNA- & RNA-SIP) experiments.

Available analyzes

  • Identifying community-level isotope incorporatation

    • Ordinations of gradient fraction communities
    • Beta diversity of overlapping gradient fractions
  • Identifying isotope incorporators

    • High resolution stable isotope probing (HR-SIP)
    • Multiple window high resolution stable isotope probing (MW-HR-SIP)
    • Quantitative stable isotope probing (q-SIP)

Documentation

All documentation can be found on CRAN.

A good place to start is the HTSSIP introduction vignette.

The manuscript describing HTSSIP is:

Youngblut ND, Barnett SE, Buckley DH (2018) HTSSIP: An R package for analysis of high throughput sequencing data from nucleic acid stable isotope probing (SIP) experiments. PLoS ONE 13(1): e0189616. https://doi.org/10.1371/journal.pone.0189616

References

See References in the HTSSIP introduction vignette.

Installation

To get the current released version from CRAN:

install.packages("HTSSIP") 

To get the current development version from github:

# install.packages("devtools")
devtools::install_github("buckleylab/HTSSIP")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("HTSSIP")

1.4.1 by Samuel Barnett, 7 years ago


Browse source code at https://github.com/cran/HTSSIP


Authors: Nicholas Youngblut [aut] , Samuel Barnett [cre, ctb]


Documentation:   PDF Manual  


GPL-2 | file LICENSE license


Imports igraph, ape, magrittr, stringr, plyr, dplyr, tidyr, ggplot2, vegan, DESeq2, phyloseq, coenocliner, lazyeval

Suggests testthat, knitr, rmarkdown, doParallel


See at CRAN