Add infer singleton option in workflow and add gene information in RGP output #1010
Workflow file for this run
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| name: CI | |
| on: | |
| pull_request: | |
| branches: | |
| - '*' | |
| # Allows you to run this workflow manually from the Actions tab | |
| workflow_dispatch: | |
| env: | |
| NUM_CPUS: 1 | |
| # A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
| jobs: | |
| test: | |
| name: test PPanGGOLiN on ${{ matrix.os }} with python ${{ matrix.python-version }} | |
| # The type of runner that the job will run on | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| matrix: | |
| os: ['ubuntu-latest', 'macos-13'] | |
| python-version: ['3.8', '3.10'] | |
| steps: | |
| # Get number of cpu available on the current runner | |
| - name: Get core number on linux | |
| if: matrix.os == 'ubuntu-latest' | |
| run: | | |
| nb_cpu_linux=`nproc` | |
| echo "Number of cores avalaible on the current linux runner $nb_cpu_linux" | |
| echo "NUM_CPUS=$nb_cpu_linux" >> "$GITHUB_ENV" | |
| - name: Get core number on macos | |
| if: matrix.os == 'macos-13' | |
| run: | | |
| nb_cpu_macos=`sysctl -n hw.ncpu` | |
| echo "Number of cores avalaible on the current macos runner $nb_cpu_macos" | |
| echo "NUM_CPUS=$nb_cpu_macos" >> "$GITHUB_ENV" | |
| # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it | |
| - uses: actions/checkout@v4 | |
| # Install requirements with miniconda | |
| - uses: conda-incubator/setup-miniconda@v3 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| channels: conda-forge,bioconda,defaults | |
| environment-file: ppanggolin_env.yaml | |
| activate-environment: ppanggolin | |
| - name: Install ppanggolin | |
| shell: bash -l {0} | |
| run: | | |
| pip install .[test] | |
| mmseqs version | |
| # Check that it is installed and displays help without error | |
| - name: Check that PPanGGOLiN is installed | |
| shell: bash -l {0} | |
| run: | | |
| ppanggolin --version | |
| ppanggolin --help | |
| # Check that unit tests are all passing | |
| - name: Unit tests | |
| shell: bash -l {0} | |
| run: pytest | |
| # Test the complete workflow | |
| - name: Complete workflow | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| mkdir info_to_test | |
| ppanggolin all --cpu $NUM_CPUS --fasta genomes.fasta.list --output mybasicpangenome | |
| ppanggolin info --pangenome mybasicpangenome/pangenome.h5 --content --parameters --status > info_to_test/mybasicpangenome_info.yaml | |
| cat info_to_test/mybasicpangenome_info.yaml | |
| cd - | |
| # test most options calls. If there is a change in the API somewhere that was not taken into account (whether in the options for the users, or the classes for the devs), this should fail, otherwise everything is probably good. | |
| #--draw_hotspots option is problematic on macOS. | |
| - name: Step by Step workflow with most options calls | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin annotate --fasta genomes.fasta.list --output stepbystep --kingdom bacteria --cpu $NUM_CPUS | |
| ppanggolin cluster -p stepbystep/pangenome.h5 --coverage 0.8 --identity 0.8 --cpu $NUM_CPUS | |
| ppanggolin graph -p stepbystep/pangenome.h5 -r 10 | |
| ppanggolin partition --output stepbystep -f -p stepbystep/pangenome.h5 --cpu $NUM_CPUS -b 2.6 -ms 10 -fd -ck 500 -Kmm 3 12 -im 0.04 --draw_ICL | |
| ppanggolin rarefaction --output stepbystep -f -p stepbystep/pangenome.h5 --depth 5 --min 1 --max 50 -ms 10 -fd -ck 30 -K 3 --soft_core 0.9 -se $RANDOM | |
| ppanggolin draw -p stepbystep/pangenome.h5 --tile_plot --nocloud --soft_core 0.92 --ucurve --output stepbystep -f | |
| ppanggolin rgp -p stepbystep/pangenome.h5 --persistent_penalty 2 --variable_gain 1 --min_score 3 --dup_margin 0.05 | |
| ppanggolin spot -p stepbystep/pangenome.h5 --output stepbystep --spot_graph --overlapping_match 2 --set_size 3 --exact_match_size 1 -f | |
| ppanggolin draw -p stepbystep/pangenome.h5 --draw_spots -o stepbystep -f | |
| ppanggolin module -p stepbystep/pangenome.h5 --transitive 4 --size 3 --jaccard 0.86 --dup_margin 0.05 | |
| ppanggolin write_pangenome -p stepbystep/pangenome.h5 --output stepbystep -f --soft_core 0.9 --dup_margin 0.06 --gexf --light_gexf --csv --Rtab --stats --partitions --compress --json --spots --regions --borders --families_tsv --cpu 1 | |
| ppanggolin write_genomes -p stepbystep/pangenome.h5 --output stepbystep -f --fasta genomes.fasta.list --gff --proksee --table | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --prot_families all --gene_families shell --regions all --fasta genomes.fasta.list | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --prot_families rgp --gene_families rgp --compress | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --prot_families softcore --gene_families softcore | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --prot_families module_0 | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --genes core --proteins cloud | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --gene_families module_0 --genes module_0 --compress | |
| ppanggolin fasta -p stepbystep/pangenome.h5 --output stepbystep -f --proteins cloud --cpu $NUM_CPUS --keep_tmp --compress | |
| ppanggolin draw -p stepbystep/pangenome.h5 --draw_spots --spots all -o stepbystep -f | |
| ppanggolin metrics -p stepbystep/pangenome.h5 --genome_fluidity --no_print_info --recompute_metrics --log metrics.log | |
| ppanggolin info --pangenome stepbystep/pangenome.h5 > info_to_test/stepbystep_info.yaml | |
| cat info_to_test/stepbystep_info.yaml | |
| cd - | |
| - name: gbff parsing and MSA computing | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin workflow --cpu $NUM_CPUS --anno genomes.gbff.list --output myannopang | |
| ppanggolin msa --pangenome myannopang/pangenome.h5 --source dna --partition core -o myannopang/ -f --use_gene_id --phylo --single_copy --cpu $NUM_CPUS | |
| ppanggolin info --pangenome myannopang/pangenome.h5 > info_to_test/myannopang_info.yaml | |
| cat info_to_test/myannopang_info.yaml | |
| cd - | |
| - name: clusters reading from external file | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin panrgp --anno genomes.gbff.list --cluster clusters.tsv --output readclusterpang --cpu $NUM_CPUS | |
| ppanggolin annotate --anno genomes.gbff.list --output readclusters --cpu $NUM_CPUS | |
| ppanggolin cluster --clusters clusters.tsv -p readclusters/pangenome.h5 --cpu $NUM_CPUS | |
| ppanggolin msa --pangenome readclusterpang/pangenome.h5 --partition persistent --phylo -o readclusterpang/msa/ -f --cpu $NUM_CPUS | |
| cd - | |
| - name: testing rgp_cluster command | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin rgp_cluster --pangenome mybasicpangenome/pangenome.h5 | |
| ppanggolin rgp_cluster --pangenome mybasicpangenome/pangenome.h5 --ignore_incomplete_rgp --grr_metric max_grr -f --graph_formats graphml gexf | |
| ppanggolin rgp_cluster --pangenome mybasicpangenome/pangenome.h5 --no_identical_rgp_merging -o rgp_clustering_no_identical_rgp_merging --graph_formats graphml | |
| cd - | |
| - name: testing align command | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin align --pangenome mybasicpangenome/pangenome.h5 --sequences some_chlam_proteins.fasta \ | |
| --output test_align --draw_related --getinfo --fast --cpu $NUM_CPUS | |
| cd - | |
| - name: testing context command | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin context --pangenome myannopang/pangenome.h5 --sequences some_chlam_proteins.fasta --output test_context --fast --cpu $NUM_CPUS | |
| # test from gene family ids. Test here with one family of module 1. The context should find all families of module 1 | |
| echo AP288_RS05055 > one_family_of_module_1.txt | |
| ppanggolin context --pangenome myannopang/pangenome.h5 --family one_family_of_module_1.txt --output test_context_from_id --cpu $NUM_CPUS | |
| cd - | |
| - name: testing metadata command | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin metadata -p mybasicpangenome/pangenome.h5 -s db1 -m metadata/metadata_genes.tsv -a genes | |
| ppanggolin metadata -p mybasicpangenome/pangenome.h5 -s db2 -m metadata/metadata_genomes.tsv -a genomes | |
| ppanggolin metadata -p mybasicpangenome/pangenome.h5 -s db3 -m metadata/metadata_families.tsv -a families --omit | |
| ppanggolin metadata -p mybasicpangenome/pangenome.h5 -s db4 -m metadata/metadata_rgps.tsv -a RGPs | |
| ppanggolin metadata -p mybasicpangenome/pangenome.h5 -s db5 -m metadata/metadata_contigs.tsv -a contigs | |
| ppanggolin metadata -p mybasicpangenome/pangenome.h5 -s db6 -m metadata/metadata_modules.tsv -a modules | |
| ppanggolin write_metadata -p mybasicpangenome/pangenome.h5 -o metadata_flat_output | |
| ppanggolin write_pangenome -p mybasicpangenome/pangenome.h5 --output mybasicpangenome -f --gexf --light_gexf --cpu $NUM_CPUS | |
| ppanggolin rgp_cluster --pangenome mybasicpangenome/pangenome.h5 -o rgp_cluster_with_metadata --graph_formats graphml | |
| cd - | |
| - name: testing config file | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| ppanggolin utils --default_config panrgp -o panrgp_default_config.yaml | |
| ppanggolin panrgp --anno genomes.gbff.list --cluster clusters.tsv -o test_config --config panrgp_default_config.yaml --cpu $NUM_CPUS | |
| cd - | |
| - name: testing projection cmd | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| head genomes.gbff.list | sed 's/^/input_genome_/g' > genomes.gbff.head.list | |
| ppanggolin projection --pangenome stepbystep/pangenome.h5 -o projection_from_list_of_gbff --anno genomes.gbff.head.list --gff --proksee --cpu $NUM_CPUS | |
| head genomes.fasta.list | sed 's/^/input_genome_/g' > genomes.fasta.head.list | |
| ppanggolin projection --pangenome myannopang/pangenome.h5 -o projection_from_list_of_fasta --fasta genomes.fasta.head.list --gff --proksee --cpu $NUM_CPUS | |
| ppanggolin projection --pangenome mybasicpangenome/pangenome.h5 -o projection_from_single_fasta \ | |
| --genome_name chlam_A --fasta FASTA/GCF_002776845.1_ASM277684v1_genomic.fna.gz \ | |
| --spot_graph --graph_formats graphml --fast --keep_tmp -f --add_sequences --gff --proksee --table --add_metadata --cpu $NUM_CPUS | |
| ppanggolin projection --pangenome mybasicpangenome/pangenome.h5 -o projection_from_gff_prodigal \ | |
| --genome_name chlam_annotated_with_prodigal --anno GBFF/GCF_003788785.1_ct114V1_genomic_prodigal_annotation.gff.gz \ | |
| --gff --table --cpu $NUM_CPUS | |
| - name: testing write_genome_cmds | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| head genomes.gbff.list | cut -f1 > genome_names.gbff.head.list | |
| ppanggolin write_genomes -p myannopang/pangenome.h5 --output flat_genomes_from_genome_files -f \ | |
| --anno genomes.gbff.list --gff --table --genomes genome_names.gbff.head.list | |
| ppanggolin write_genomes -p stepbystep/pangenome.h5 --output flat_genomes_from_cmdline_genomes --proksee \ | |
| --genomes GCF_006508185.1_ASM650818v1_genomic,GCF_002088315.1_ASM208831v1_genomic | |
| head genomes.fasta.list | cut -f1 > genome_names.fasta.head.list | |
| # Default separator is a pipe but a pipe is found in a value of metadata db1. That is why we use another separator here. | |
| ppanggolin write_genomes -p mybasicpangenome/pangenome.h5 --output mybasicpangenome/genomes_outputs \ | |
| --genomes genome_names.fasta.head.list \ | |
| -f --gff --add_metadata --table --metadata_sep § --proksee | |
| # Pipe separatore is found in metadata source db1. if we don't require this source then the writting with pipe is work fine. | |
| ppanggolin write_genomes -p mybasicpangenome/pangenome.h5 --output mybasicpangenome/genomes_outputs_with_metadata -f --gff --proksee --table --add_metadata --metadata_sources db2 db3 db4 | |
| - name: Archive diff files | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: comparison-results_${{ matrix.os }}_python${{ matrix.python-version }} | |
| path: testingDataset/info_to_test/* | |
| - name: testing info output | |
| shell: bash -l {0} | |
| run: | | |
| cd testingDataset | |
| python compare_results.py -e expected_info_files/ -t info_to_test/ -o diff_output |