oggmap is a python package to extract orthologous maps (short: orthomap or in other words the evolutionary age of a given orthologous group) from OrthoFinder or eggNOG results. Oggmap results (gene ages per orthologous group) can be further used to calculate and visualize weighted expression data (transcriptome evolutionary index) from scRNA sequencing objects.

Online documentation can be found here.

When using oggmap in published research, please cite:

• Ullrich KK, Glytnasi NE, "oggmap: a Python package to extract gene ages per orthogroup and link them with single-cell RNA data", Bioinformatics, 2023, 39(11). https://doi.org/10.1093/bioinformatics/btad657

More installation options can be found here.

We recommend installing oggmap in an independent conda environment to avoid dependent software conflicts. Please make a new python environment for oggmap and install dependent libraries in it.

If you do not have a working installation of Python 3.8 (or later), consider installing Anaconda or Miniconda.

To create and activate the environment run:

$ git clone https://github.com/kullrich/oggmap.git
$ cd oggmap
$ conda env create --file environment.yml
$ conda activate oggmap_env

Then to install oggmap via PyPI:

$ pip install oggmap

Detailed tutorials how to use oggmap can be found here.

The following command downloads or updates your local copy of the NCBI's taxonomy database (~300MB). The database is saved at ~/.etetoolkit/taxa.sqlite.

>>> from oggmap import ncbitax
>>> ncbitax.update_ncbi()

You can query a species lineage information based on its name or its taxID. For example Danio rerio with taxID 7955:

>>> from oggmap import qlin
>>> qlin.get_qlin(q = 'Danio rerio')
>>> qlin.get_qlin(qt = '7955')

You can get the query species topology as a tree. For example for Danio rerio with taxID 7955:

>>> from oggmap import qlin
>>> query_topology = qlin.get_lineage_topo(qt = '7955')
>>> query_topology.write()

The following code extracts the orthomap for Danio rerio based on pre-calculated OrthoFinder results and ensembl release-105:

OrthoFinder results (-S diamond_ultra_sens) using translated, longest-isoform coding sequences from ensembl release-105 have been archived and can be found here.

>>> from oggmap import datasets, of2orthomap
>>> datasets.ensembl105(datapath='.')
>>> query_orthomap = of2orthomap.get_orthomap(
...     seqname='Danio_rerio.GRCz11.cds.longest',
...     qt='7955',
...     sl='ensembl_105_orthofinder_species_list.tsv',
...     oc='ensembl_105_orthofinder_Orthogroups.GeneCount.tsv',
...     og='ensembl_105_orthofinder_Orthogroups.tsv',
...     out=None, quiet=False, continuity=True, overwrite=True)
>>> query_orthomap

The following code extracts the gene to transcript table for Danio rerio:

GTF file obtained from here.

>>> from oggmap import datasets, gtf2t2g
>>> gtf_file = datasets.zebrafish_gtf(datapath='.')
>>> query_species_t2g = gtf2t2g.parse_gtf(
...     gtf=gtf_file,
...     g=True, b=True, p=True, v=True, s=True, q=True)
>>> query_species_t2g

Import now, the scRNA dataset of the query species.

example: Danio rerio - http://tome.gs.washington.edu (Qui et al. 2022)

AnnData file can be found here.

>>> import scanpy as sc
>>> from oggmap import datasets, orthomap2tei
>>> # download zebrafish scRNA data here: https://doi.org/10.5281/zenodo.7243602
>>> # or download with datasets.qiu22_zebrafish(datapath='.')
>>> zebrafish_data = datasets.qiu22_zebrafish(datapath='.')
>>> zebrafish_data
>>> # check overlap of transcript table <gene_id> and scRNA data <var_names>
>>> orthomap2tei.geneset_overlap(zebrafish_data.var_names, query_species_t2g['gene_id'])

The replace_by helper function can be used to add a new column to the orthomap dataframe by matching e.g. gene isoform names and their corresponding gene names.

>>> # convert orthomap transcript IDs into GeneIDs and add them to orthomap
>>> query_orthomap['geneID'] = orthomap2tei.replace_by(
...    x_orig = query_orthomap['seqID'],
...    xmatch = query_species_t2g['transcript_id_version'],
...    xreplace = query_species_t2g['gene_id'])
>>> # check overlap of orthomap <geneID> and scRNA data
>>> orthomap2tei.geneset_overlap(zebrafish_data.var_names, query_orthomap['geneID'])

Since now the gene names correspond to each other in the orthomap and the scRNA adata object, one can calculate the transcriptome evolutionary index (TEI) and add them to the scRNA dataset (adata object).

>>> # add TEI values to existing adata object
>>> orthomap2tei.get_tei(adata=zebrafish_data,
...    gene_id=query_orthomap['geneID'],
...    gene_age=query_orthomap['PSnum'],
...    keep='min',
...    layer=None,
...    add=True,
...    obs_name='tei',
...    boot=False,
...    bt=10,
...    normalize_total=False,
...    log1p=False,
...    target_sum=1e6)

Once the gene age data has been added to the scRNA dataset, one can e.g. plot the corresponding transcriptome evolutionary index (TEI) values by any given observation pre-defined in the scRNA dataset.

>>>sc.pl.violin(adata=zebrafish_data,
...             keys=['tei'],
...             groupby='stage',
...             rotation=90,
...             palette='Paired',
...             stripplot=False,
...             inner='box')

oggmap can also be used via the command line.

Command line documentation can be found here.

$ oggmap

usage: oggmap <sub-command>

oggmap

optional arguments:
  -h, --help            show this help message and exit

sub-commands:
  {cds2aa,gtf2t2g,ncbitax,of2orthomap,plaza2orthomap,qlin}
                        sub-commands help
    cds2aa              translate CDS to AA and optional retain longest
                        isoform <cds2aa -h>
    gtf2t2g             extracts transcript to gene table from GTF <gtf2t2g
                        -h>
    ncbitax             update local ncbi taxonomy database <ncbitax -h>
    of2orthomap         extract orthomap from OrthoFinder output for query
                        species <orthomap -h>
    plaza2orthomap      extract orthomap from PLAZA gene family data for query
                        species <of2orthomap -h>
    qlin                get query lineage based on ncbi taxonomy <qlin -h>

To retrieve e.g. the lineage information for Danio rerio run the following command:

$ oggmap qlin -q "Danio rerio"

To work with the latest version on GitHub: clone the repository and cd into its root directory.

$ git clone kullrich/oggmap
$ cd oggmap

Install oggmap into your current python environment:

$ pip install -e .

oggmap has an extensive test suite which is run each time a new contribution is made to the repository. To run the test suite locally run:

$ pytest tests

If you would like to contribute to oggmap, please file an issue so that one can establish a statement of need, avoid redundant work, and track progress on your contribution.

Before you do a pull request, you should always file an issue and make sure that someone from the oggmap developer team agrees that it's a problem, and is happy with your basic proposal for fixing it.

Once an issue has been filed and we've identified how to best orient your contribution with package development as a whole, fork the main repo, branch off a feature branch from master, commit and push your changes to your fork and submit a pull request for oggmap:master.

By contributing to this project, you agree to abide by the Code of Conduct terms.

Please post troubles or questions on the GitHub repository issue tracker. Also, please look at the closed issue pages. This might give an answer to your question.

Please send e-mail to us if you want a discussion with us.

Principal code developer: Kristian Ullrich

E-mail address can be found here.

This repository adheres to the Contributor Covenant code of conduct for in any interactions you have within this project. (see Code of Conduct)

See also the policy against sexualized discrimination, harassment and violence for the Max Planck Society Code-of-Conduct.

By contributing to this project, you agree to abide by its terms.

see references here