Feature-aware Directed OrtholoG search tool
Project description
fDOG - Feature-aware Directed OrtholoG search
Table of Contents
How to install
fDOG tool is distributed as a python package called fdog. It is compatible with Python ≥ v3.7.
Install the fDOG package
You can install fdog using pip
:
python3 -m pip install fdog
or, in case you do not have admin rights, and don't use package systems like Anaconda to manage environments you need to use the --user
option:
python3 -m pip install --user fdog
and then add the following line to the end of your ~/.bashrc or ~/.bash_profile file, restart the current terminal to apply the change (or type source ~/.bashrc
):
export PATH=$HOME/.local/bin:$PATH
Setup fDOG
After installing fdog, you need to setup fdog to get its dependencies and pre-calculated data.
You can do it by just running this command
fdog.setup -o /output/path/for/fdog/data
or, in case you are using Anaconda
fdog.setup -o /output/path/for/fdog/data --conda
You should have the sudo password ready, otherwise some missing dependencies cannot be installed. See dependency list for more info. If you do not have root privileges, ask your admin to install those dependencies using fdog.setup --lib
command.
Pre-calculated data set of fdog will be saved in /output/path/for/fdog/data
. After the setup run successfully, you can start using fdog.
For debugging the setup, please create a log file by running the setup as e.g. fdog.setup | tee log.txt
for Linux/MacOS or fdog.setup --conda | tee log.txt
for Anaconda and send us that log file, so that we can trouble shoot the issues. Most of the problems can be solved by just re-running the setup.
Usage
fdog will run smoothly with the provided sample input file 'infile.fa' if everything is set correctly.
fdog.run --seqFile infile.fa --seqName test --refspec HUMAN@9606@3
The output files with the prefix test
will be saved at your current working directory.
You can have an overview about all available options with the command
fdog.run -h
Please find more information in our wiki to learn about the input and outputs files of fdog.
fDOG data set
Within the data package we provide a set of 78 reference taxa. They can be automatically downloaded during the setup. This data comes "ready to use" with the fdog framework. Species data must be present in the three directories listed below:
- genome_dir (Contains sub-directories for proteome fasta files for each species)
- blast_dir (Contains sub-directories for BLAST databases made with
makeblastdb
out of your proteomes) - weight_dir (Contains feature annotation files for each proteome)
For each species/taxon there is a sub-directory named in accordance to the naming schema ([Species acronym]@[NCBI ID]@[Proteome version])
fdog is not limited to those 78 taxa. If needed the user can manually add further gene sets (multiple fasta format) using provided functions.
Adding a new gene set into fDOG
For adding one gene set, please use the fdog.addTaxon
function:
fdog.addTaxon -f newTaxon.fa -i tax_id [-o /output/directory] [-n abbr_tax_name] [-c] [-v protein_version] [-a]
in which, the first 3 arguments are required including newTaxon.fa
is the gene set that need to be added, tax_id
is its NCBI taxonomy ID, /output/directory
is where the sub-directories can be found (genome_dir, blast_dir and weight_dir). If not given, new taxon will be added into the same directory of pre-calculated data. Other arguments are optional, which are -n
for specify your own taxon name (if not given, an abbriviate name will be suggested based on the NCBI taxon name of the input tax_id
), -c
for calculating the BLAST DB (only needed if you need to include your new taxon into the list of taxa for compilating the core set), -v
for identifying the genome/proteome version (default will be 1), and -a
for turning off the annotation step (not recommended).
Adding a list of gene sets into fDOG
For adding more than one gene set, please use the fdog.addTaxa
script:
fdog.addTaxa -i /path/to/newtaxa/fasta -m mapping_file [-o /output/directory] [-c]
in which, /path/to/taxa/fasta
is a folder where the FASTA files of all new taxa can be found. mapping_file
is a tab-delimited text file, where you provide the taxonomy IDs that stick with the FASTA files:
#filename tax_id abbr_tax_name version
filename1.fa 12345678
filename2.faa 9606
filename3.fasta 4932 my_fungi
...
The header line (started with #) is a Must. The values of the last 2 columns (abbr. taxon name and genome version) are, however, optional. If you want to specify a new version for a genome, you need to define also the abbr. taxon name, so that the genome version is always at the 4th column in the mapping file.
NOTE: After adding new taxa into fdog, you should check for the validity of the new data before running fdog.
Bugs
Any bug reports or comments, suggestions are highly appreciated. Please open an issue on GitHub or be in touch via email.
How to cite
Ebersberger, I., Strauss, S. & von Haeseler, A. HaMStR: Profile hidden markov model based search for orthologs in ESTs. BMC Evol Biol 9, 157 (2009), doi:10.1186/1471-2148-9-157
Contributors
Contact
For further support or bug reports please contact: ebersberger@bio.uni-frankfurt.de
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