# About the PICRUSt category

**URL:** <https://forum.biobakery.org/t/about-the-picrust-category/44>\
**Category:** PICRUSt\
**Created:** [November 12, 2019, 5:05pm UTC](https://forum.biobakery.org/t/about-the-picrust-category/44 "2019-11-12T17:05:17Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![sagunmaharjann](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.biobakery.org/sagunmaharjann/32/168_2.png) [@sagunmaharjann](https://forum.biobakery.org/u/sagunmaharjann)\
**Post date:** [November 12, 2019, 5:05pm UTC](https://forum.biobakery.org/t/about-the-picrust-category/44/1 "2019-11-12T17:05:17Z")

</div>

Name: [**PICRUSt**](http://picrust.github.io/picrust/)  
[User manual](http://picrust.github.io/picrust/tutorials/quickstart.html#quickstart-guide) || [Tutorial](http://picrust.github.io/picrust/tutorials/metagenome_prediction.html#metagenome-prediction-tutorial)

Description: The PICRUSt project aims to support prediction of the unobserved character states in a community of organisms from phylogenetic information about the organisms in that community. The primary application is to predict gene family abundance (e.g. the metagenome) in environmental DNA samples for which only marker gene (e.g. 16S rRNA gene) data are available. This is an open source, international, collaborative bioinformatics project developed in the Huttenhower, Beiko, Langille, Vega Thurber, Knight and Caporaso labs.

#### **Citation**

**Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences.** Langille, M. G.I._; Zaneveld, J._; Caporaso, J. G.; McDonald, D.; Knights, D.; a Reyes, J.; Clemente, J. C.; Burkepile, D. E.; Vega Thurber, R. L.; Knight, R.; Beiko, R. G.; and Huttenhower, C. _Nature Biotechnology_ , 1-10. 8 2013.

The manuscript describing PICRUSt can be found [here](http://www.nature.com/nbt/journal/vaop/ncurrent/abs/nbt.2676.html)

- Additional citation resources: [here](http://picrust.github.io/picrust/citing_picrust.html#citing-picrust)