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Illumina Overview Tutorial (an IPython Notebook): open reference OTU picking and core diversity analyses — Homepage

http://qiime.org/tutorials/illumina_overview_tutorial.html

News and Announcements ». Illumina Overview Tutorial (an IPython Notebook): open reference OTU picking and core diversity analyses. This tutorial is provided as an IPython Notebook. See the Illumina Overview Tutorial IPython Notebook. OTU picking strategies in QIIME. 454 Overview Tutorial: de novo OTU picking and diversity analyses using 454 data. Enter search terms or a module, class or function name.

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QIIME Tutorials — Homepage

http://qiime.org/tutorials/index.html

News and Announcements ». The QIIME tutorials illustrate how to use various features of QIIME. We recommend that all users begin with either the QIIME Illumina Overview Tutorial. Or the QIIME 454 Overview Tutorial. These tutorials take the user through a full analysis of sequencing data. After you’ve begun analyzing your own data, you’ll want to move on to the special-purpose tutorials as needed. If you’re interested in contributing. OTU picking strategies in QIIME. Analysis of 18S data. Creating Distanc...

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QIIME Virtual Box — Homepage

http://qiime.org/install/virtual_box.html

News and Announcements ». As a consequence of QIIME’s. Architecture, QIIME has a lot of dependencies and can (but doesn’t have to) be very challenging to install. The QIIME Virtual Box gets around the difficulty of installation by providing a functioning QIIME full install inside an Ubuntu Linux virtual machine. You can use the QIIME Virtual Box on Mac OS X, Windows, or Linux. It is strongly recommended that your system have 8 gigabytes or more of memory to use the QIIME Virtual Box. Select “Use ex...

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454 Overview Tutorial: de novo OTU picking and diversity analyses using 454 data — Homepage

http://qiime.org/tutorials/tutorial.html

News and Announcements ». 454 Overview Tutorial: de novo OTU picking and diversity analyses using 454 data. This tutorial explains how to apply de novo OTU picking and diversity analyses to 16S amplicon data using QIIME. We recommend first working through the QIIME Illumina Overview Tutorial. Which covers many of these analysis steps at a higher level. This tutorial provides additional detail on the steps that are being performed by the QIIME workflows. Descriptions of these files are below. Command to m...

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QIIME Scripts — Homepage

http://qiime.org/scripts/index.html

News and Announcements ». All QIIME analyses are performed using python (. Scripts. See the QIIME install guide. If you need help getting the QIIME scripts installed. All QIIME scripts can take the. Option to provide usage information. You can get this information for the. Script (for example) by running:. The same documentation that is presented when calling a script with. Is available for all QIIME scripts at the links below. Add alpha to mapping file.py. Add qiime labels.py. 8211; Run AmpliconNoise.

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Working with QIIME on Amazon Web Services EC2 — Homepage

http://qiime.org/tutorials/working_with_aws.html

News and Announcements ». Working with QIIME on Amazon Web Services EC2. This document covers general steps for working with QIIME on Amazon Web Services (AWS). If you’re completely new to AWS, you should start with the AWS Getting Started documentation. Starting a QIIME EC2 instance. These details assume that you have logged into your AWS account, and are starting an EC2 instance. The information that you’ll need to start a QIIME instance follows. Defaults can be used except as noted below. Instance (wh...

qiime.org

QIIME Installation Guide — Homepage

http://qiime.org/install/install.html

News and Announcements ». Installing QIIME on Mac OS X and Linux using Miniconda. QIIME consists of native Python 2 code and additionally wraps many external applications. These instructions describe how to perform a base installation of QIIME using Miniconda. Step 1: Install Miniconda. Flag when you create a new environment; otherwise the default Python version will be Python 3. Begin by downloading Miniconda. And following the associated installation instructions. Conda create -n qiime1 python=2.7 ...