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name: build-documentation | ||
on: | ||
push: | ||
branches: | ||
- main | ||
|
||
permissions: | ||
contents: write | ||
|
||
jobs: | ||
deploy: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- name: Checkout main | ||
uses: actions/checkout@v3 | ||
with: | ||
fetch-depth: 0 | ||
|
||
- name: Setup python | ||
uses: actions/setup-python@v4 | ||
with: | ||
python-version: 3.x | ||
|
||
- name: Cache dependencies | ||
uses: actions/cache@v2 | ||
with: | ||
key: ${{ github.ref }} | ||
path: .cache | ||
|
||
- name: Install dependencies | ||
run: | | ||
pip install mkdocs-material mkdocs-material-extensions mkdocs-git-revision-date-localized-plugin mike mkdocs-glightbox | ||
- name: Build documentation | ||
run: | | ||
git config user.name sage-wright | ||
git config user.email [email protected] | ||
mike deploy --push main |
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name: version-documentation | ||
on: | ||
release: | ||
types: [published] | ||
|
||
permissions: | ||
contents: write | ||
|
||
jobs: | ||
deploy: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- name: Checkout main | ||
uses: actions/checkout@v3 | ||
with: | ||
fetch-depth: 0 | ||
|
||
- name: Setup python | ||
uses: actions/setup-python@v4 | ||
with: | ||
python-version: 3.x | ||
|
||
- name: Cache dependencies | ||
uses: actions/cache@v2 | ||
with: | ||
key: ${{ github.ref }} | ||
path: .cache | ||
|
||
- name: Install dependencies | ||
run: | | ||
pip install mkdocs-material mkdocs-material-extensions mkdocs-git-revision-date-localized-plugin mike mkdocs-glightbox | ||
- name: Build documentation | ||
run: | | ||
git config user.name sage-wright | ||
git config user.email [email protected] | ||
LATEST_RELEASE=$(curl -sL https://api.github.com/repos/theiagen/public_health_bioinformatics/releases/latest | jq -r ".tag_name") | ||
mike deploy --push --update-aliases ${LATEST_RELEASE} latest | ||
mike set-default --push latest |
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|
@@ -4,7 +4,7 @@ The Public Health Bioinformatics Bioinformatics repository contains workflows fo | |
|
||
## Introduction | ||
|
||
**More information about the steps undertaken in these workflows is available via the [Theiagen Public Resources Documentation](https://theiagen.notion.site/Theiagen-Public-Health-Resources-a4bd134b0c5c4fe39870e21029a30566).** | ||
**More information about the steps undertaken in these workflows is available via the [Theiagen Public Resources Documentation](https://theiagen.github.io/public_health_bioinformatics/latest/).** | ||
|
||
Support for running these workflows can be sought by raising a [GitHub issue](https://github.com/theiagen/public_health_bioinformatics/issues/new) or by contacting Theiagen at [email protected]. | ||
|
||
|
@@ -16,19 +16,19 @@ The PHB repository contains workflows for the characterization, genomic epidemio | |
|
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All workflows in the PHB repository end with `_PHB` in order to differentiate them from earlier versions and from the original tools they incorporate. | ||
|
||
Briefly, the main *genomic characterization* workflows are split by pathogen type: | ||
Briefly, the main _genomic characterization_ workflows are split by pathogen type: | ||
|
||
1. **Viral** (***TheiaCoV*** workflows) | ||
2. **Bacterial** (***TheiaProk*** workflows) | ||
3. **Fungal** (***TheiaEuk*** workflows) | ||
3. **Fungal** (*[**TheiaEuk**](../workflows/genomic_characterization/theiaeuk.md)* workflows) | ||
|
||
Many more workflows are available, and are documented in detail in the [Theiagen Public Resources Documentation](https://theiagen.notion.site/Theiagen-Public-Health-Resources-a4bd134b0c5c4fe39870e21029a30566). | ||
Many more workflows are available, and are documented in detail in the [Theiagen Public Resources Documentation](https://theiagen.github.io/public_health_bioinformatics/latest/). | ||
|
||
## On the Shoulder of Giants | ||
|
||
The PHB repository would not be possible without its predecessors. We would like to acknowledge the following repositories, individuals, and contributors for their influence on the development of these workflows: | ||
|
||
The PHB repository originated from collaborative work with Andrew Lang, PhD & his [Genomic Analysis WDL workflows](https://github.com/AndrewLangvt/genomic_analyses). The workflows and task development were influenced by The Broad's [Viral Pipes](https://github.com/broadinstitute/viral-pipelines) repository. The TheiaCoV workflows for viral genomic characterization were influenced by UPHL's [Cecret](https://github.com/UPHL-BioNGS/Cecret) & StaPH-B's [Monroe](https://staph-b.github.io/staphb_toolkit/workflow_docs/monroe/) workflows. The TheiaProk workflows for bacterial genomic characterization were influenced by Robert Petit's [bactopia](https://github.com/bactopia/bactopia). Most importantly, the PHB user community drove the development of these workflows and we are grateful for their feedback and contributions. | ||
The PHB repository originated from collaborative work with Andrew Lang, PhD & his [Genomic Analysis WDL workflows](https://github.com/AndrewLangvt/genomic_analyses). The workflows and task development were influenced by The Broad's [Viral Pipes](https://github.com/broadinstitute/viral-pipelines) repository. The TheiaCoV workflows for viral genomic characterization were influenced by UPHL's [Cecret](https://github.com/UPHL-BioNGS/Cecret) & StaPH-B's Monroe (now deprecated) workflows. The TheiaProk workflows for bacterial genomic characterization were influenced by Robert Petit's [bactopia](https://github.com/bactopia/bactopia). Most importantly, the PHB user community drove the development of these workflows and we are grateful for their feedback and contributions. | ||
|
||
If you would like to provide feedback, please raise a [GitHub issue](https://github.com/theiagen/public_health_bioinformatics/issues/new). | ||
|
||
|
@@ -83,8 +83,8 @@ The authors declare no conflict of interest. | |
|
||
Please cite this paper if publishing work using any workflows: | ||
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||
> Libuit, Kevin G., Emma L. Doughty, James R. Otieno, Frank Ambrosio, Curtis J. Kapsak, Emily A. Smith, Sage M. Wright, et al. 2023. “Accelerating Bioinformatics Implementation in Public Health.” Microbial Genomics 9 (7). https://doi.org/10.1099/mgen.0.001051. | ||
> Libuit, Kevin G., Emma L. Doughty, James R. Otieno, Frank Ambrosio, Curtis J. Kapsak, Emily A. Smith, Sage M. Wright, et al. 2023. "Accelerating Bioinformatics Implementation in Public Health." Microbial Genomics 9 (7). https://doi.org/10.1099/mgen.0.001051. | ||
Alternatively, please cite this paper if using the TheiaEuk workflow: | ||
|
||
> Ambrosio, Frank, Michelle Scribner, Sage Wright, James Otieno, Emma Doughty, Andrew Gorzalski, Danielle Siao, et al. 2023. “TheiaEuk: A Species-Agnostic Bioinformatics Workflow for Fungal Genomic Characterization.” Frontiers in Public Health 11. https://doi.org/10.3389/fpubh.2023.1198213. | ||
> Ambrosio, Frank, Michelle Scribner, Sage Wright, James Otieno, Emma Doughty, Andrew Gorzalski, Danielle Siao, et al. 2023. "TheiaEuk: A Species-Agnostic Bioinformatics Workflow for Fungal Genomic Characterization." Frontiers in Public Health 11. https://doi.org/10.3389/fpubh.2023.1198213. |
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GPSC assignment | ||
|
||
Install PopPUNK 2.4 as per instructions at PopPUNK documentation and download | ||
the GPS reference database and the GPS designation. | ||
|
||
Files required to run GPSC assignment using PopPUNK 2.4: | ||
1. A 2-column tab-delimited file containing sample name and path to the | ||
corresponding assembly (no header) | ||
2. GPS reference database <GPS_v6> | ||
3. GPS designation <GPS_v6_external_clusters.csv> | ||
|
||
output directory name is assigned using --output | ||
number of threads can be changed using –threads | ||
|
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Run GPSC assignment: | ||
|
||
poppunk_assign --db GPS_v6 \ | ||
--distances GPS_v6/GPS_v6.dists \ | ||
--query <2-column path to assembly> \ | ||
--output <GPSC_assignment> \ | ||
--external-clustering \ | ||
GPS_v6_external_clusters.csv | ||
|
||
Outputs: | ||
|
||
_clusters.csv: popPUNK clusters with dataset specific nomenclature | ||
_external_clusters.csv: GPSC v6 scheme designations | ||
|
||
Novel Clusters are assigned NA in the _external_clusters.csv as they have | ||
not been defined in the v6 dataset used to designate the GPSCs. Please email: | ||
[email protected] to have novel clusters added to the database and a | ||
GPSC cluster name assigned after you have checked for low level contamination | ||
which may contribute to biased accessory distances. | ||
|
||
Merged clusters: Unsampled diversity may represent missing variation linking two | ||
clusters. GPSCs are then merged. For example if GPSC23 and GPSC362 merged, the | ||
GPSC would be then reported as GPSC23, with a merge history of GPSC23;362. |
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taxon num_reads_raw1 num_reads_raw2 num_reads_clean1 num_reads_clean2 est_coverage_raw est_coverage_clean combined_mean_q_raw r1_mean_q_raw r2_mean_q_raw combined_mean_readlength_raw r1_mean_readlength_raw r2_mean_readlength_raw combined_mean_q_clean r1_mean_q_clean r2_mean_q_clean combined_mean_readlength_clean r1_mean_readlength_clean r2_mean_readlength_clean assembly_length_min assembly_length_max number_contigs n50_value quast_gc_percent_min quast_gc_percent_max busco_completeness | ||
Aspergillus_terreus 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 27960000 31840000 1000 10000 95 | ||
Aspergillus_flavus 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 35090000 42930000 1000 10000 95 | ||
Aspergillus_fumigatus 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 27360000 33400000 1000 10000 95 | ||
Candida_albicans 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 11650000 18700000 1000 10000 95 | ||
Candida_auris 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 12100000 14250000 1000 10000 43 47 95 | ||
Candida_glabrata 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 11810000 14520000 1000 10000 95 | ||
Candida_parapsilosis 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 11570000 13330000 1000 10000 95 | ||
Candida_tropicalis 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 14350000 15730000 1000 10000 95 | ||
Clavispora_lusitaniae 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 11910000 12380000 1000 10000 95 | ||
Coccidioides_immitis 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 27470000 28950000 1000 10000 95 | ||
Cryptococcus_gattii_VGI 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 17230000 18370000 1000 10000 95 | ||
Cryptococcus_neoformans 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 17990000 19750000 1000 10000 95 | ||
Fusarium 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 26090000 72920000 1000 10000 95 | ||
Kluyveromyces_marxianus 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 9555000 13340000 1000 10000 95 | ||
Pichia_kudriavzevii 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 72470000 12940000 1000 10000 95 | ||
Yarrowia_lipolytica 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 19720000 21250000 1000 10000 95 | ||
Candida_haemuloni 1000000 1000000 1000000 1000000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 12590000 13310000 1000 10000 95 |
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taxon assembly_length_min assembly_length_max number_contigs n50_value quast_gc_percent_min quast_gc_percent_max busco_completeness ani_highest_percent ani_highest_percent_bases_aligned | ||
Listeria_monocytogenes 2800000 3200000 500 10000 95 92 70 | ||
Escherichia_coli 4900000 6000000 500 10000 95 92 70 | ||
Shigella 4200000 4900000 500 10000 95 92 70 | ||
Salmonella 4400000 5700000 500 10000 95 92 70 | ||
Campylobacter 1400000 2200000 500 10000 95 92 70 | ||
Vibrio_cholerae 3800000 4300000 500 10000 95 92 70 | ||
Vibrio_parahaemolyticus 4900000 5500000 500 10000 95 92 70 | ||
Vibrio_vulnificus 4700000 5300000 500 10000 95 92 70 | ||
Pseudomonas 500 10000 95 | ||
Streptococcus 500 10000 95 | ||
Acinetobacter 500 10000 95 | ||
Mycobacterium 500 10000 95 | ||
Legionella 500 10000 95 | ||
Klebsiella 500 10000 95 |
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docs/assets/files/TheiaProk_Illumina_PE_qc_check_template.tsv
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taxon num_reads_raw1 num_reads_raw2 num_reads_clean1 num_reads_clean2 est_coverage_raw est_coverage_clean combined_mean_q_raw r1_mean_q_raw r2_mean_q_raw combined_mean_readlength_raw r1_mean_readlength_raw r2_mean_readlength_raw combined_mean_q_clean r1_mean_q_clean r2_mean_q_clean combined_mean_readlength_clean r1_mean_readlength_clean r2_mean_readlength_clean assembly_length_min assembly_length_max midas_secondary_genus_abundance number_contigs n50_value quast_gc_percent_min quast_gc_percent_max busco_completeness ani_highest_percent ani_highest_percent_bases_aligned | ||
Listeria_monocytogenes 100000 100000 100000 100000 20 30 135 30 135 2800000 3200000 0.01 92 70 | ||
Escherichia_coli 100000 100000 100000 100000 40 30 135 30 135 4900000 6000000 0.01 92 70 | ||
Shigella 100000 100000 100000 100000 40 30 135 30 135 4200000 4900000 0.01 92 70 | ||
Salmonella 100000 100000 100000 100000 30 30 135 30 135 4400000 5700000 0.01 92 70 | ||
Campylobacter 100000 100000 100000 100000 20 30 135 30 135 1400000 2200000 0.01 92 70 | ||
Vibrio_cholerae 100000 100000 100000 100000 40 30 135 30 135 3800000 4300000 0.01 92 70 | ||
Vibrio_parahaemolyticus 100000 100000 100000 100000 40 30 135 30 135 4900000 5500000 0.01 92 70 | ||
Vibrio_vulnificus 100000 100000 100000 100000 40 30 135 30 135 4700000 5300000 0.01 92 70 | ||
Pseudomonas 100000 100000 100000 100000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 500 10000 95 | ||
Streptococcus 100000 100000 100000 100000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 500 10000 95 | ||
Acinetobacter 100000 100000 100000 100000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 500 10000 95 | ||
Mycobacterium 100000 100000 100000 100000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 500 10000 95 | ||
Legionella 100000 100000 100000 100000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 500 10000 95 | ||
Klebsiella 100000 100000 100000 100000 30 30 30 30 30 135 135 135 30 30 30 135 135 135 500 10000 95 |
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Samples excluded for quality thresholds: | ||
sample_name message | ||
sample2 VADR skipped due to poor assembly | ||
sample3 VADR number alerts too high: 3 greater than limit of 0 | ||
sample4 Number of Ns was too high: 10000 greater than limit of 5000 | ||
|
||
Samples excluded for missing required metadata (will have empty values in indicated columns): | ||
tablename_id organism country library_layout | ||
sample5 paired | ||
sample6 SARS-CoV-2 USA |
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docs/assets/files/input_jsons/TheiaCoV_FASTA_RSV-A_2024-04-19.json
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{"theiacov_fasta.organism":"rsv_a"} |
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docs/assets/files/input_jsons/TheiaCoV_FASTA_RSV-B_2024-04-19.json
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{"theiacov_fasta.organism":"rsv_b"} |
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docs/assets/files/input_jsons/TheiaCoV_FASTA_WNV_2024-04-19.json
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{"theiacov_fasta.organism":"WNV"} |
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docs/assets/files/input_jsons/TheiaCoV_FASTA_flu_2024-04-19.json
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{"theiacov_fasta.organism":"flu"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_PE_HIV_v1_2024-04-19.json
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{"theiacov_illumina_pe.organism":"HIV","theiacov_illumina_pe.hiv_primer_version":"v1"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_PE_HIV_v2_2024-04-19.json
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{"theiacov_illumina_pe.organism":"HIV","theiacov_illumina_pe.hiv_primer_version":"v2"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_PE_RSV-A_2024-04-19.json
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{"theiacov_illumina_pe.organism":"rsv_a"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_PE_RSV-B_2024-04-19.json
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{"theiacov_illumina_pe.organism":"rsv_b"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_PE_WNV_2024-04-19.json
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{"theiacov_illumina_pe.organism":"WNV"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_PE_flu_2024-04-19.json
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{"theiacov_illumina_pe.organism":"flu"} |
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docs/assets/files/input_jsons/TheiaCoV_Illumina_SE_WNV_2024-04-19.json
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{"theiacov_illumina_se.organism":"WNV"} |
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docs/assets/files/input_jsons/TheiaCoV_ONT_HIV_v1_2024-04-19.json
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{"theiacov_ont.organism":"HIV","theiacov_ont.hiv_primer_version":"v1"} |
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docs/assets/files/input_jsons/TheiaCoV_ONT_HIV_v2_2024-04-19.json
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{"theiacov_ont.organism":"HIV","theiacov_ont.hiv_primer_version":"v2"} |
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{"theiacov_ont.organism":"flu"} |
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docs/assets/files/theiavalidate/example_exact_differences.tsv
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columnA-string columnA-string columnB-set columnB-set columnC-ignore columnC-ignore columnD-float columnD-float columnE-missing columnE-missing | ||
example_table1.tsv example_table2.tsv example_table1.tsv example_table2.tsv example_table1.tsv example_table2.tsv example_table1.tsv example_table2.tsv example_table1.tsv example_table2.tsv | ||
samples | ||
sample1 item1,item2,item3 item1,item3,item2 cheese cheesecake 1000.0 999.0 | ||
sample2 option1 option2 item1,item3,item2 item1,item2,item3 cheesecake batter | ||
sample3 option2 option1 item1,item2,item3 item1,item2 cake cheese 14.0 24.0 present | ||
sample4 item2,item1 item1,item2 3492.0 728.0 | ||
sample5 item1,item2 item1,item2,item3 3.0 4.0 |
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docs/assets/files/theiavalidate/example_validation_criteria_differences.tsv
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Column columnB-set columnB-set columnD-float columnD-float columnE-missing columnE-missing | ||
Table example_table1.tsv example_table2.tsv example_table1.tsv example_table2.tsv example_table1.tsv example_table2.tsv | ||
sample1 | ||
sample2 | ||
sample3 item1,item2,item3 item1,item2 14.0 24.0 present | ||
sample4 3492.0 728.0 | ||
sample5 item1,item2 item1,item2,item3 3.0 4.0 |
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samples columnA-string columnB-set columnC-ignore columnD-float columnE-missing | ||
sample1 option1 item1,item2,item3 cheese 1000 present | ||
sample2 option1 item1,item3,item2 cheesecake 12 present | ||
sample3 option2 item1,item2,item3 cake 14 present | ||
sample4 option1 item2,item1 cakebatter 3492 | ||
sample5 option2 item1,item2 batter 3 present |
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samples columnA-string columnB-set columnC-ignore columnD-float columnE-missing | ||
sample1 option1 item1,item3,item2 cheesecake 999 present | ||
sample2 option2 item1,item2,item3 batter 12 present | ||
sample3 option1 item1,item2 cheese 24 | ||
sample4 option1 item1,item2 cakebatter 728 | ||
sample5 option2 item1,item2,item3 batter 4 present |
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docs/assets/files/theiavalidate/theiacov-validation-criteria.txt
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column criteria | ||
abricate_flu_subtype EXACT | ||
abricate_flu_type EXACT | ||
assembly_length_unambiguous 0.01 | ||
assembly_mean_coverage 0.01 | ||
irma_subtype EXACT | ||
irma_type EXACT | ||
kraken_human EXACT | ||
kraken_human_dehosted EXACT | ||
kraken_sc2 EXACT | ||
kraken_sc2_dehosted EXACT | ||
kraken_target_org EXACT | ||
kraken_target_org_dehosted EXACT | ||
nextclade_aa_dels SET | ||
nextclade_aa_subs SET | ||
nextclade_clade EXACT | ||
nextclade_lineage EXACT | ||
nextclade_tamiflu_resistance_aa_subs SET | ||
num_reads_clean1 EXACT | ||
num_reads_clean2 EXACT | ||
number_N 0.01 | ||
pango_lineage EXACT | ||
percent_reference_coverage 0.01 | ||
vadr_num_alerts EXACT |
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docs/assets/files/theiavalidate/theiaeuk-validation-criteria.txt
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column criteria | ||
assembly_length 0.01 | ||
busco_results EXACT | ||
clade_type EXACT | ||
est_coverage_clean 0.01 | ||
est_coverage_raw 0.01 | ||
gambit_predicted_taxon EXACT | ||
n50_value 0.01 | ||
num_reads_clean1 EXACT | ||
num_reads_clean2 EXACT | ||
number_contigs 0.01 | ||
quast_gc_percent 0.01 | ||
theiaeuk_snippy_variants_hits SET |
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