Merlin
MinmER assisted species-specific bactopia tool seLectIoN, or Merlin, uses distances based
on the RefSeq sketch downloaded by bactopia datasets
to automatically run species-specific tools.
Currently Merlin knows 16 spells for which cover the following:
Genus/Species | Tools |
---|---|
Escherichia / Shigella | ECTyper, ShigaTyper, ShigEiFinder |
Haemophilus | hicap, HpsuisSero |
Klebsiella | Kleborate |
Legionella | legsta |
Listeria | LisSero |
Mycobacterium | TBProfiler |
Neisseria | meningotype, ngmaster |
Pseudomonas | pasty |
Salmonella | SeqSero2, SISTR |
Staphylococcus | AgrVATE, spaTyper, staphopia-sccmec |
Streptococcus | emmtyper, pbptyper, SsuisSero |
Merlin is avialable as an independent Bactopia Tool, or in the Bactopia with the --ask_merlin
parameter. Even better,
if you want to force Merlin to execute all species-specific tools (no matter the distance), you can use --full_merlin
.
Then all the spells will be unleashed!
Output Overview¶
Below is the default output structure for the merlin
step in Bactopia. Where
possible the file descriptions below were modified from a tools description.
<BACTOPIA_DIR>
βββ <SAMPLE_NAME>
β βββ tools
β βββ agrvate
β β βββ <SAMPLE_NAME>-agr_gp.tab
β β βββ <SAMPLE_NAME>-blastn_log.txt
β β βββ <SAMPLE_NAME>-hmm-log.txt
β β βββ <SAMPLE_NAME>-hmm.tab
β β βββ <SAMPLE_NAME>-summary.tab
β β βββ logs
β β βββ nf-agrvate.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ ectyper
β β βββ <SAMPLE_NAME>.tsv
β β βββ blast_output_alleles.txt
β β βββ logs
β β βββ ectyper.log
β β βββ nf-ectyper.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ emmtyper
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-emmtyper.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ genotyphi
β β βββ <SAMPLE_NAME>.csv
β β βββ <SAMPLE_NAME>.json
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ genotyphi
β β β βββ nf-genotyphi.{begin,err,log,out,run,sh,trace}
β β β βββ versions.yml
β β βββ mykrobe
β β βββ nf-genotyphi.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ hicap
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-hicap.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ hpsuissero
β β βββ <SAMPLE_NAME>_serotyping_res.tsv
β β βββ logs
β β βββ nf-hpsuissero.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ kleborate
β β βββ <SAMPLE_NAME>.results.txt
β β βββ logs
β β βββ nf-kleborate.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ legsta
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-legsta.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ mashdist
β β βββ merlin
β β βββ <SAMPLE_NAME>-dist.txt
β β βββ logs
β β βββ nf-mashdist.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ meningotype
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-meningotype.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ ngmaster
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-ngmaster.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ pasty
β β βββ <SAMPLE_NAME>.blastn.tsv
β β βββ <SAMPLE_NAME>.details.tsv
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-pasty.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ pbptyper
β β βββ <SAMPLE_NAME>-1A.tblastn.tsv
β β βββ <SAMPLE_NAME>-2B.tblastn.tsv
β β βββ <SAMPLE_NAME>-2X.tblastn.tsv
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-pbptyper.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ seqsero2
β β βββ <SAMPLE_NAME>_log.txt
β β βββ <SAMPLE_NAME>_result.tsv
β β βββ <SAMPLE_NAME>_result.txt
β β βββ logs
β β βββ nf-seqsero2.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ seroba
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-seroba.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ shigatyper
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-shigatyper.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ shigeifinder
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-shigeifinder.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ sistr
β β βββ <SAMPLE_NAME>-allele.fasta.gz
β β βββ <SAMPLE_NAME>-allele.json.gz
β β βββ <SAMPLE_NAME>-cgmlst.csv
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-sistr.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ spatyper
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-spatyper.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ ssuissero
β β βββ <SAMPLE_NAME>_serotyping_res.tsv
β β βββ logs
β β βββ nf-ssuissero.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ staphopiasccmec
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-staphopiasccmec.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ stecfinder
β β βββ <SAMPLE_NAME>.tsv
β β βββ logs
β β βββ nf-stecfinder.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ tbprofiler
β βββ <SAMPLE_NAME>.results.csv
β βββ <SAMPLE_NAME>.results.json
β βββ <SAMPLE_NAME>.results.txt
β βββ bam
β β βββ <SAMPLE_NAME>.bam
β βββ logs
β β βββ nf-tbprofiler.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ vcf
β βββ <SAMPLE_NAME>.targets.csq.vcf.gz
βββ bactopia-runs
βββ merlin-<TIMESTAMP>
βββ merged-results
β βββ agrvate.tsv
β βββ ectyper.tsv
β βββ emmtyper.tsv
β βββ genotyphi.tsv
β βββ hicap.tsv
β βββ hpsuissero.tsv
β βββ kleborate.tsv
β βββ legsta.tsv
β βββ logs
β β βββ <BACTOPIA_TOOL>-concat
β β βββ nf-merged-results.{begin,err,log,out,run,sh,trace}
β β βββ versions.yml
β βββ meningotype.tsv
β βββ ngmaster.tsv
β βββ pasty.tsv
β βββ pbptyper.tsv
β βββ seqsero2.tsv
β βββ seroba.tsv
β βββ shigatyper.tsv
β βββ shigeifinder.tsv
β βββ sistr.tsv
β βββ spatyper.tsv
β βββ ssuissero.tsv
β βββ staphopiasccmec.tsv
β βββ stecfinder.tsv
βββ nf-reports
βββ merlin-dag.dot
βββ merlin-report.html
βββ merlin-timeline.html
βββ merlin-trace.txt
Directory structure might be different
Depending on the options used at runtime, the merlin
directory structure might
be different, but the output descriptions below still apply.
Results¶
Merged Results¶
Below are results that are concatenated into a single file.
Filename | Description |
---|---|
agrvate.tsv | A merged TSV file with AgrVATE results from all samples |
clermontyping.csv | A merged TSV file with ClermonTyping results from all samples |
ectyper.tsv | A merged TSV file with ECTyper results from all samples |
emmtyper.tsv | A merged TSV file with emmtyper results from all samples |
genotyphi.tsv | A merged TSV file with genotyphi results from all samples |
hicap.tsv | A merged TSV file with hicap results from all samples |
hpsuissero.tsv | A merged TSV file with HpsuisSero results from all samples |
kleborate.tsv | A merged TSV file with Kleborate results from all samples |
legsta.tsv | A merged TSV file with legsta results from all samples |
lissero.tsv | A merged TSV file with LisSero results from all samples |
meningotype.tsv | A merged TSV file with meningotype results from all samples |
ngmaster.tsv | A merged TSV file with ngmaster results from all samples |
pasty.tsv | A merged TSV file with pasty results from all samples |
pbptyper.tsv | A merged TSV file with pbptyper results from all samples |
seqsero2.tsv | A merged TSV file with seqsero2 results from all samples |
seroba.tsv | A merged TSV file with seroba results from all samples |
shigapass.csv | A merged CSV file with ShigaPass results from all samples |
shigatyper.tsv | A merged TSV file with ShigaTyper results from all samples |
shigeifinder.tsv | A merged TSV file with ShigEiFinder results from all samples |
sistr.tsv | A merged TSV file with SISTR results from all samples |
spatyper.tsv | A merged TSV file with spaTyper results from all samples |
ssuissero.tsv | A merged TSV file with SsuisSero results from all samples |
staphopiasccmec.tsv | A merged TSV file with staphopia-sccmec results from all samples |
stecfinder.tsv | A merged TSV file with stecfinder results from all samples |
AgrVATE¶
Below is a description of the per-sample results from AgrVATE.
Extension | Description |
---|---|
-agr_gp.tab | A detailed report for agr kmer matches |
-blastn_log.txt | Log files from programs called by AgrVATE |
-summary.tab | A final summary report for agr typing |
ClermonTyping¶
Below is a description of the per-sample results from ClermonTyping.
Extension | Description |
---|---|
<SAMPLE_NAME>.blast.xml | A BLAST XML file with the results of the ClermonTyping analysis |
<SAMPLE_NAME>.html | A HTML file with the results of the ClermonTyping analysis |
<SAMPLE_NAME>.mash.tsv | A TSV file with the Mash distances |
<SAMPLE_NAME>.phylogroups.txt | A TSV file with the final phylogroup assignments |
ECTyper¶
Below is a description of the per-sample results from ECTyper.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with ECTyper result, see ECTyper - Report format for details |
blast_output_alleles.txt | Allele report generated from BLAST results |
emmtyper¶
Below is a description of the per-sample results from emmtyper.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with emmtyper result, see emmtyper - Result format for details |
hicap¶
Below is a description of the per-sample results from hicap.
Filename | Description |
---|---|
<SAMPLE_NAME>.gbk | GenBank file and cap locus annotations |
<SAMPLE_NAME>.svg | Visualization of annotated cap locus |
<SAMPLE_NAME>.tsv | A tab-delimited file with hicap results |
HpsuisSero¶
Below is a description of the per-sample results from HpsuisSero.
Filename | Description |
---|---|
<SAMPLE_NAME>_serotyping_res.tsv | A tab-delimited file with HpsuisSero result |
GenoTyphi¶
Below is a description of the per-sample results from GenoTyphi. A full description of the GenoTyphi output is available at GenoTyphi - Output
Filename | Description |
---|---|
<SAMPLE_NAME>_predictResults.tsv | A tab-delimited file with GenoTyphi results |
<SAMPLE_NAME>.csv | The output of mykrobe predict in comma-separated format |
<SAMPLE_NAME>.json | The output of mykrobe predict in JSON format |
Kleborate¶
Below is a description of the per-sample results from Kleborate.
Filename | Description |
---|---|
<SAMPLE_NAME>.results.txt | A tab-delimited file with Kleborate result, see Kleborate - Example output for more details. |
legsta¶
Below is a description of the per-sample results from legsta.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with legsta result, see legsta - Output for more details |
LisSero¶
Below is a description of the per-sample results from LisSero.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with LisSero results |
Mash¶
Below is a description of the per-sample results from Mash.
Filename | Description |
---|---|
<SAMPLE_NAME>-dist.txt | A tab-delimited file with mash dist results |
meningotype¶
Below is a description of the per-sample results from meningotype .
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with meningotype result |
ngmaster¶
Below is a description of the per-sample results from ngmaster.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with ngmaster results |
pasty¶
Below is a description of the per-sample results from pasty.
Extension | Description |
---|---|
.blastn.tsv | A tab-delimited file of all blast hits |
.details.tsv | A tab-delimited file with details for each serogroup |
.tsv | A tab-delimited file with the predicted serogroup |
pbptyper¶
Below is a description of the per-sample results from pbptyper.
Extension | Description |
---|---|
.tblastn.tsv | A tab-delimited file of all blast hits |
.tsv | A tab-delimited file with the predicted PBP type |
SeqSero2¶
Below is a description of the per-sample results from SeqSero2.
Filename | Description |
---|---|
<SAMPLE_NAME>_result.tsv | A tab-delimited file with SeqSero2 results |
<SAMPLE_NAME>_result.txt | A text file with key-value pairs of SeqSero2 results |
Seroba¶
Below is a description of the per-sample results from Seroba. More details about the outputs are available from Seroba - Output.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with the predicted serotype |
detailed_serogroup_info.txt | Detailed information about the predicted results |
ShigaPass¶
Below is a description of the per-sample results from ShigaPass.
Extension | Description |
---|---|
<SAMPLE_NAME>.csv | A CSV file with the predicted Shigella or EIEC serotype |
ShigaTyper¶
Below is a description of the per-sample results from ShigaTyyper.
Filename | Description |
---|---|
<SAMPLE_NAME>-hits.tsv | Detailed statistics about each individual gene hit |
<SAMPLE_NAME>.tsv | The final predicted serotype by ShigaTyper |
ShigEiFinder¶
Below is a description of the per-sample results from ShigEiFinder.
Extension | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with the predicted Shigella or EIEC serotype |
SISTR¶
Below is a description of the per-sample results from SISTR.
Filename | Description |
---|---|
<SAMPLE_NAME>-allele.fasta.gz | A FASTA file of the cgMLST allele search results |
<SAMPLE_NAME>-allele.json.gz | JSON formated cgMLST allele search results, see SISTR - cgMLST search results for more details |
<SAMPLE_NAME>-cgmlst.csv | A comma-delimited summary of the cgMLST allele search results |
<SAMPLE_NAME>.tsv | A tab-delimited file with SISTR results, see SISTR - Primary results for more details |
spaTyper¶
Below is a description of the per-sample results from spaTyper.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with spaTyper result |
SsuisSero¶
Below is a description of the per-sample results from SsuisSero.
Filename | Description |
---|---|
<SAMPLE_NAME>_serotyping_res.tsv | A tab-delimited file with SsuisSero results |
staphopia-sccmec¶
Below is a description of the per-sample results from staphopia-sccmec.
Filename | Description |
---|---|
<SAMPLE_NAME>.tsv | A tab-delimited file with staphopia-sccmec results |
TBProfiler¶
Below is a description of the per-sample results from TBProfiler.
Filename | Description |
---|---|
<SAMPLE_NAME>.results.csv | A CSV formated TBProfiler result file of resistance and strain type |
<SAMPLE_NAME>.results.json | A JSON formated TBProfiler result file of resistance and strain type |
<SAMPLE_NAME>.results.txt | A text file with TBProfiler results |
<SAMPLE_NAME>.bam | BAM file with alignment details |
<SAMPLE_NAME>.targets.csq.vcf.gz | VCF with variant info again reference genomes |
Audit Trail¶
Below are files that can assist you in understanding which parameters and program versions were used.
Logs¶
Each process that is executed will have a folder named logs
. In this folder are helpful
files for you to review if the need ever arises.
Extension | Description |
---|---|
.begin | An empty file used to designate the process started |
.err | Contains STDERR outputs from the process |
.log | Contains both STDERR and STDOUT outputs from the process |
.out | Contains STDOUT outputs from the process |
.run | The script Nextflow uses to stage/unstage files and queue processes based on given profile |
.sh | The script executed by bash for the process |
.trace | The Nextflow Trace report for the process |
versions.yml | A YAML formatted file with program versions |
Parameters¶
mashdist¶
Parameter | Description |
---|---|
--mash_sketch |
The reference sequence as a Mash Sketch (.msh file) Type: string |
--mash_seed |
Seed to provide to the hash function Type: integer , Default: 42 |
--mash_table |
Table output (fields will be blank if they do not meet the p-value threshold) Type: boolean |
--mash_m |
Minimum copies of each k-mer required to pass noise filter for reads Type: integer , Default: 1 |
--mash_w |
Probability threshold for warning about low k-mer size. Type: number , Default: 0.01 |
--max_p |
Maximum p-value to report. Type: number , Default: 1.0 |
--max_dist |
Maximum distance to report. Type: number , Default: 1.0 |
--merlin_dist |
Maximum distance to report when using Merlin . Type: number , Default: 0.1 |
--full_merlin |
Go full Merlin and run all species-specific tools, no matter the Mash distance Type: boolean |
--use_fastqs |
Query with FASTQs instead of the assemblies Type: boolean |
AgrVATE¶
Parameter | Description |
---|---|
--typing_only |
agr typing only. Skips agr operon extraction and frameshift detection Type: boolean |
ClermonTyping¶
Parameter | Description |
---|---|
--clermon_threshold |
Do not use contigs under this size Type: number |
ECTyper¶
Parameter | Description |
---|---|
--opid |
Percent identity required for an O antigen allele match Type: integer , Default: 90 |
--opcov |
Minumum percent coverage required for an O antigen allele match Type: integer , Default: 90 |
--hpid |
Percent identity required for an H antigen allele match Type: integer , Default: 95 |
--hpcov |
Minumum percent coverage required for an H antigen allele match Type: integer , Default: 50 |
--verify |
Enable E. coli species verification Type: boolean |
--print_alleles |
Prints the allele sequences if enabled as the final column Type: boolean |
emmtyper¶
Parameter | Description |
---|---|
--emmtyper_wf |
Workflow for emmtyper to use. Type: string , Default: blast |
--cluster_distance |
Distance between cluster of matches to consider as different clusters Type: integer , Default: 500 |
--percid |
Minimal percent identity of sequence Type: integer , Default: 95 |
--culling_limit |
Total hits to return in a position Type: integer , Default: 5 |
--mismatch |
Threshold for number of mismatch to allow in BLAST hit Type: integer , Default: 5 |
--align_diff |
Threshold for difference between alignment length and subject length in BLAST Type: integer , Default: 5 |
--gap |
Threshold gap to allow in BLAST hit Type: integer , Default: 2 |
--min_perfect |
Minimum size of perfect match at 3 primer end Type: integer , Default: 15 |
--min_good |
Minimum size where there must be 2 matches for each mismatch Type: integer , Default: 15 |
--max_size |
Maximum size of PCR product Type: integer , Default: 2000 |
hicap¶
Parameter | Description |
---|---|
--database_dir |
Directory containing locus database Type: string |
--model_fp |
Path to prodigal model Type: string |
--full_sequence |
Write the full input sequence out to the genbank file rather than just the region surrounding and including the locus Type: boolean |
--hicap_debug |
hicap will print debug messages Type: boolean |
--gene_coverage |
Minimum percentage coverage to consider a single gene complete Type: number , Default: 0.8 |
--gene_identity |
Minimum percentage identity to consider a single gene complete Type: number , Default: 0.7 |
--broken_gene_length |
Minimum length to consider a broken gene Type: integer , Default: 60 |
--broken_gene_identity |
Minimum percentage identity to consider a broken gene Type: number , Default: 0.8 |
GenoTyphi¶
Parameter | Description |
---|---|
--kmer |
K-mer length Type: integer , Default: 21 |
--min_depth |
Minimum depth Type: integer , Default: 1 |
--model |
Genotype model used. Type: string , Default: kmer_count |
--report_all_calls |
Report all calls Type: boolean |
--mykrobe_opts |
Extra Mykrobe options in quotes Type: string |
Kleborate¶
Parameter | Description |
---|---|
--kleborate_preset |
Preset module to use for Kleborate Type: string , Default: kpsc |
--kleborate_opts |
Extra options in quotes for Kleborate Type: string |
legsta¶
Parameter | Description |
---|---|
--noheader |
Don't print header row Type: boolean |
LisSero¶
Parameter | Description |
---|---|
--min_id |
Minimum percent identity to accept a match Type: number , Default: 95.0 |
--min_cov |
Minimum coverage of the gene to accept a match Type: number , Default: 95.0 |
meningotype¶
You can use these parameters to fine-tune your meningotype analysis
Parameter | Description |
---|---|
--finetype |
perform porA and fetA fine typing Type: boolean |
--porB |
perform porB sequence typing (NEIS2020) Type: boolean |
--bast |
perform Bexsero antigen sequence typing (BAST) Type: boolean |
--mlst |
perform MLST Type: boolean |
--all |
perform MLST, porA, fetA, porB, BAST typing Type: boolean |
ngmaster¶
Parameter | Description |
---|---|
--csv |
output comma-separated format (CSV) rather than tab-separated Type: boolean |
pasty¶
Parameter | Description |
---|---|
--pasty_min_pident |
Minimum percent identity to count a hit Type: integer , Default: 95 |
--pasty_min_coverage |
Minimum percent coverage to count a hit Type: integer , Default: 95 |
pbptyper¶
Parameter | Description |
---|---|
--pbptyper_min_pident |
Minimum percent identity to count a hit Type: integer , Default: 95 |
--pbptyper_min_coverage |
Minimum percent coverage to count a hit Type: integer , Default: 95 |
SeqSero2¶
Parameter | Description |
---|---|
--run_mode |
Workflow to run. 'a' allele mode, or 'k' k-mer mode Type: string , Default: k |
--input_type |
Input format to analyze. 'assembly' or 'fastq' Type: string , Default: assembly |
--bwa_mode |
Algorithms for bwa mapping for allele mode Type: string , Default: mem |
SISTR¶
Parameter | Description |
---|---|
--full_cgmlst |
Use the full set of cgMLST alleles which can include highly similar alleles Type: boolean |
spaTyper¶
Parameter | Description |
---|---|
--repeats |
List of spa repeats Type: string |
--repeat_order |
List spa types and order of repeats Type: string |
--do_enrich |
Do PCR product enrichment Type: boolean |
staphopia-sccmec¶
Parameter | Description |
---|---|
--hamming |
Report the results as hamming distances Type: boolean |
TBProfiler Profile¶
Parameter | Description |
---|---|
--call_whole_genome |
Call whole genome Type: boolean |
--mapper |
Mapping tool to use. If you are using nanopore data it will default to minimap2 Type: string , Default: bwa |
--caller |
Variant calling tool to use Type: string , Default: freebayes |
--calling_params |
Extra variant caller options in quotes Type: string |
--suspect |
Use the suspect suite of tools to add ML predictions Type: boolean |
--no_flagstat |
Don't collect flagstats Type: boolean |
--no_delly |
Don't run delly Type: boolean |
--tbprofiler_opts |
Extra options in quotes for TBProfiler Type: string |
Citations¶
If you use Bactopia and merlin
in your analysis, please cite the following.
-
Bactopia
Petit III RA, Read TD Bactopia - a flexible pipeline for complete analysis of bacterial genomes. mSystems 5 (2020) -
AgrVATE
Raghuram V. AgrVATE: Rapid identification of Staphylococcus aureus agr locus type and agr operon variants. (GitHub) -
ClermontTyping
Beghain J, Bridier-Nahmias A, Le Nagard H, Denamur E, Clermont O. ClermonTyping: an easy-to-use and accurate in silico method for Escherichia genus strain phylotyping. Microbial Genomics, 4(7), e000192. (2018) -
csvtk
Shen, W csvtk: A cross-platform, efficient and practical CSV/TSV toolkit in Golang. (GitHub) -
ECTyper
Laing C, Bessonov K, Sung S, La Rose C ECTyper - In silico prediction of Escherichia coli serotype (GitHub) -
emmtyper
Tan A, Seemann T, Lacey D, Davies M, Mcintyre L, Frost H, Williamson D, Gonçalves da Silva A emmtyper - emm Automatic Isolate Labeller (GitHub) -
GenoTyphi
Wong VK, Baker S, Connor TR, Pickard D, Page AJ, Dave J, Murphy N, Holliman R, Sefton A, Millar M, Dyson ZA, Dougan G, Holt KE, & International Typhoid Consortium. An extended genotyping framework for Salmonella enterica serovar Typhi, the cause of human typhoid Nature Communications 7, 12827. (2016) -
hicap
Watts SC, Holt KE hicap: in silico serotyping of the Haemophilus influenzae capsule locus. Journal of Clinical Microbiology JCM.00190-19 (2019) -
HpsuisSero
Lui J HpsuisSero: Rapid Haemophilus parasuis serotyping (GitHub) -
Kleborate
Lam MMC, Wick RR, Watts, SC, Cerdeira LT, Wyres KL, Holt KE A genomic surveillance framework and genotyping tool for Klebsiella pneumoniae and its related species complex. Nat Commun 12, 4188 (2021) -
legsta
Seemann T legsta: In silico Legionella pneumophila Sequence Based Typing (GitHub) -
LisSero
Kwong J, Zhang J, Seeman T, Horan, K, Gonçalves da Silva A LisSero - In silico serotype prediction for Listeria monocytogenes (GitHub) -
Mash
Ondov BD, Treangen TJ, Melsted P, Mallonee AB, Bergman NH, Koren S, Phillippy AM Mash: fast genome and metagenome distance estimation using MinHash. Genome Biol 17, 132 (2016) -
meningotype
Kwong JC, Gonçalves da Silva A, Stinear TP, Howden BP, & Seemann T meningotype: in silico typing for Neisseria meningitidis. (GitHub) -
Mykrobe
Hunt M, Bradley P, Lapierre SG, Heys S, Thomsit M, Hall MB, Malone KM, Wintringer P, Walker TM, Cirillo DM, Comas I, Farhat MR, Fowler P, Gardy J, Ismail N, Kohl TA, Mathys V, Merker M, Niemann S, Omar SV, Sintchenko V, Smith G, Supply P, Tahseen S, Wilcox M, Arandjelovic I, Peto TEA, Crook, DW, Iqbal Z Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe Wellcome Open Research 4, 191. (2019) -
ngmaster
Kwong J, Gonçalves da Silva A, Schultz M, Seeman T ngmaster - In silico multi-antigen sequence typing for Neisseria gonorrhoeae (NG-MAST) (GitHub) -
pasty
Petit III RA pasty: in silico serogrouping of Pseudomonas aeruginosa isolates (GitHub) -
pbptyper
Petit III RA pbptyper: In silico Penicillin Binding Protein (PBP) typer for Streptococcus pneumoniae assemblies (GitHub) -
SeqSero2
Zhang S, Den-Bakker HC, Li S, Dinsmore BA, Lane C, Lauer AC, Fields PI, Deng X. SeqSero2: rapid and improved Salmonella serotype determination using whole genome sequencing data. Appl Environ Microbiology 85(23):e01746-19 (2019) -
shigapass
Yassine I, Hansen EE, Lefèvre S, Ruckly C, Carle I, Lejay-Collin M, Fabre L, Rafei R, Pardos de la Gandara M, Daboussi F, Shahin A, Weill FX ShigaPass: an in silico tool predicting Shigella serotypes from whole-genome sequencing assemblies. Microb Genomics 9(3) (2023) -
ShigaTyper
Wu Y, Lau HK, Lee T, Lau DK, Payne J In Silico Serotyping Based on Whole-Genome Sequencing Improves the Accuracy of Shigella Identification. Applied and Environmental Microbiology, 85(7). (2019) -
ShigEiFinder
Zhang X, Payne M, Nguyen T, Kaur S, Lan R Cluster-specific gene markers enhance Shigella and enteroinvasive Escherichia coli in silico serotyping. Microbial Genomics, 7(12). (2021) -
SISTR
Yoshida CE, Kruczkiewicz P, Laing CR, Lingohr EJ, Gannon VPJ, Nash JHE, Taboada EN The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies. PloS One, 11(1), e0147101. (2016) -
spaTyper
Sanchez-Herrero JF, and Sullivan M spaTyper: Staphylococcal protein A (spa) characterization pipeline. Zenodo. (2020) -
SsuisSero
Lui J SsuisSero: Rapid Streptococcus suis serotyping (GitHub) -
staphopia-sccmec
Petit III RA, Read TD Staphylococcus aureus viewed from the perspective of 40,000+ genomes. PeerJ 6, e5261 (2018) -
TBProfiler
Phelan JE, OβSullivan DM, Machado D, Ramos J, Oppong YEA, Campino S, OβGrady J, McNerney R, Hibberd ML, Viveiros M, Huggett JF, Clark TG Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs. Genome Med 11, 41 (2019)