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MAKER Genome Annotation using cc-tools and Jetstream(WQ-MAKER)

Rationale and background:

MAKER is a flexible and scalable genome annotation pipeline that automates the many steps necessary for the detection of protein coding genes (Campbell et al. 2013). MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab initio gene predictions, and automatically synthesizes these data into gene annotations having evidence-based quality indices. MAKER was developed by the Yandell Lab and is described in several publications (Cantarel et al. 2008; Holt & Yandell 2011). Additional background is available at the MAKER Tutorial at GMOD and is highly recommended reading.

MAKER with CCTools (aka WQ-MAKER) is a modified MAKER annotation tools capable of running MAKER on distributed computing resources such as Jetstream cloud (Thrasher et al., 2012). Using the work-queue platform, users can now run MAKER across multiple virtual machines to achieve a several fold reduction in the duration of the MAKER run.

This tutorial will take users through steps of:

1. Running WQ-MAKER on Jetstream cloud
2. Running WQ-MAKER on an example genome assembly data

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• Quickstart home
• Step One
• MAKER Genome Annotation using cc-tools and Jetstream(WQ-MAKER)
• Part 3: Set up a MAKER run using the Terminal window. Instead IF you want to run the WQ-MAKER using Jupyter notebook please see the section below
• Note(Advanced Users)
  • Note
• Moving data from CyVerse Datastore using iCommands
• Step Four
  • Part 4: Set up a MAKER run using the Jupyter notebook
  • Note
  • Additional information, help

Quick Start Maintainer(s)

Who to contact if this quick start needs fixing. You can also email learning@CyVerse.org

Maintainer	Institution	Contact
Vibhor Mehta	CyVerse / UA	vibhormehta@email.arizona.edu

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Prerequisites

Sounds great, what do I need to get started?

1. Jetstream allocation. If you don’t have one, you can send in your request to add you to CyVerse’s JS allocation through the intercom (button on the bottom right on this page).
2. XSEDE account
3. Your data (or you can run example data)

What kind of data do I need?

1. Mandatory Requirements

1.1 Genome assembly(fasta file)

1.2 Organism Type

1.2.1 Eukaryotic(default, set as: organism_type=eukaryotic) 1.2.2 Prokaryotic(default, set as: organism_type=prokaryotic)

2. Additional data that can be used to improve the annotation (Highly recommended)

2.1 RNA evidence (at least one of them is needed)

2.1.1 Assembled mRNA-seq transcriptome (fasta file)

2.1.2 Expressed sequence tags (ESTs) data (fasta file)

2.1.3 Aligned EST or transcriptome GFF3 from your organism

2.1.4 Aligned EST or transcriptome GFF3 from a closely related organism

2.2 Protein evidence

2.2.1 protein sequence file in fasta format (i.e. from multiple organisms)

2.2.2 protein gff (aligned protein homology evidence from an external GFF3 file)

What kind of resources will I need for my project?

1. Enough storage space on the WQ-MAKER Jetstream instance for both input and output files

1.1 Creating and mounting an external volume to the running WQ-MAKER MASTER instance would be recommended

2. One Master and several workers needed for running your computation

2.1 Benchmarking results for data sets can help you estimate the number of workers need for running your annotation

3. Enough AUs to run your computation