Developed by Eric Normandeau in Louis Bernatchez's laboratory with suggestions and important code contributions from Jérémy Le Luyer.
GAWN is a genome annotation pipeline that uses an assembled transcriptome (in nucleoties, not amino acids), either from the same species or from a related species, to create an evidence-based genome annotation. Its primary goal is to provide good enough genome annotation with a fraction of the time and effort required to run more complete genome annotation pipelines. It uses existing tools, such as GMAP, TransDecoder, blastx, the Swissprot database, etc. to produce the annotation. The result files are:
- A GFF3 annotation file
- A transcript annotation .tsv table
- A genome annotation .tsv table
The .tsv tables are formatted to maximize usability by non-specialized users.
This approach is especially useful to annotate genomes of species for which there is a good assembled transcriptome. It will also work when a good transcriptome is available for a related species. It provides only gene annotations for available transcripts. As such, it does not depend on ab initio gene prediction models.
During the analyses, the following steps are performed:
- Index the genome (
GMAP) - Annotate genes using available transcripts (
GMAP) - Annotate the transcripts (
blastxand the Swissprot database) - Produce a transcriptome annotation table (Python script)
- Produce a genome annotation table (Python script)
- TODO: add CpG island annotations
GAWN depends on different tools to annotate genomes. The requirements in terms of RAM, disk space, and time, is dependent on these tools. Here are example requirements for three different eukaryote genomes. The annotation was run on a Lenovo ThinkStation D20 with 8 Xeon CPUs (16 threads, 2.40GHz) on Linux Mint 17 (Ubuntu 16.04). All of these datasets, except Salvelinus fontinalis were run using the most recent genomes and transcriptomes available from Genbank.
| Genome | Size (Gbp) | RAM (GB) | Final disc space (GB) | Time (h) |
|---|---|---|---|---|
| Human genome | 3.29 | 16 | 37 | ~48 |
| Salvelinus fontinalis | 2.67 | 14.3 | 31.2 | ~48 |
| Drosophila melanogaster | 1.45 | 10.2 | 3.1 | 28 |
To use GAWN, you will need a local copy of its repository, which can be found here. Just download and unzip the folder. Use a new downloaded folder for each analysis.
Different releases can be accessed here. We suggest using the latest release. Avoid any release prior to 0.3.1. Some of these older releases are broken for some versions of the dependencies).
You will also need to have the following programs installed on your computer. The version numbers are the ones that have been tested. It is suggested that you use these or more recent versions.
- GNU Linux or OSX
- bash 4+
- python 2.7+ or 3.6+
- cufflinks v2.2.1+
- gmap (2017-10-12)
- wget 1.17.1
- gnu parallel 2017xxxx+
- blastplus utilities (blastx) 2.7.1+ (Very important, do not use old blastplus binaries)
- a local copy of the swissprot database
The relevant TransDecoder scripts are included with their license in
01_scripts/TransDecoder.
For each new project, get a new copy of GAWN's repository from the
sources listed in the Installation section and copy your data in the
03_data folder.
- Install dependencies
- Download GAWN repository (see Installation section above)
- Put your genome and transcriptome fasta files (uncompressed) in
03_data - Edit the parameters in
02_info/gawn_config.sh(you can rename the file) - Run the following command:
./gawn 02_infos/gawn_config.sh # or your renamed fileOnce the pipeline has completed, all result files are found in the 05_results
folder.
- A valid gff3 annotation file
- A transcriptome annotation .tsv table
- A genome annotation .tsv table
CC share-alike
GAWN by Eric Normandeau is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at https://github.com/enormandeau/gawn.
