This SOP standardises how to collect, extract, document, and preserve marine microscopic/meiofaunal/interstitial animals for genomic research. It covers the full pipeline from pre-collection planning (permits, logistics, safety, vouchering and repository coordination) through field sampling, lab extraction and sorting, identification and imaging, and DNA/RNA preparation via snap-freezing or other preservatives. Because whole specimens are usually consumed for sequencing, the SOP emphasises metadata ...
Creators: Torsten Hugo Struck, Sara Dessi, Giulia Casula, Ana Teresa Capucho, Christian de Guttry, We acknowledge the ERGA SSP Committee for their help in organising the SOP workflow and consolidating inputs from contributors.
Submitter: Christian de Guttry
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The workflow takes trimmed HiC paired-end reads collection, and Pri/Alt assemblies to produce a scaffolded primary assembly (and alternate contigs) using YaHS. It also runs Pretext and all the QC analyses (gfastats, BUSCO, and Merqury).
The workflow takes a Long Reads collection, Pri/Alt contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Pri and Alt contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).
The workflow takes a long reads collection (HiFi, or ONT also possible now), and max coverage depth (calculated from WF1) to run Hifiasm in solo mode. It produces a Pri/Alt assembly, Bandage plots, and runs all the QC analysis (gfastats, BUSCO, and Merqury).
The workflow requires the user to provide:
- ENSEMBL link address of the annotation GFF3 file
- ENSEMBL link address of the assembly FASTA file
- NCBI taxonomy ID
- BUSCO lineage
- OMArk database
Thw workflow will produce statistics of the annotation based on AGAT, BUSCO and OMArk.
The workflow takes trimmed HiC forward and reverse reads, and Hap1/Hap2 assemblies to produce Hap1 and Hap2 scaffolded assemblies using YaHS. It also runs all the QC analyses (gfastats, BUSCO, Merqury and Pretext).
The workflow takes a trimmed HiFi reads collection, Hap1/Hap2 contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Hap1 and Hap2 contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).
The workflow takes a trimmed long reads collection, and Forward/Reverse HiC reads to run Hifiasm in HiC phasing mode. It produces both Pri/Alt and Hap1/Hap2 assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury). The default Hifiasm purge level is aggressive (l3).
The workflow takes a HiFi reads collection, runs FastQC and SeqKit, filters with Cutadapt, and creates a MultiQC report. The main outputs are a collection of filtred reads, a report with raw and filtered reads stats, and a table with raw reads stats.
The workflow takes a (trimmed) Long reads collection, runs Meryl to create a K-mer database, Genomescope2 to estimate genome properties and Smudgeplot to estimate ploidy (optional). The main results are K-mer database and genome profiling plots, tables, and values useful for downstream analysis. Default K-mer length and ploidy for Genomescope are 31 and 2, respectively.
The workflow takes a paired-reads collection (like illumina WGS or HiC), runs FastQC and SeqKit, trims with Fastp, and creates a MultiQC report. The main outputs are a paired collection of trimmed reads, a report with raw and trimmed reads stats, and a table with raw reads stats.
The workflow takes trimmed HiC forward and reverse reads, and one assembly (e.g.: Hap1 or Pri or Collapsed) to produce a scaffolded assembly using YaHS. It also runs all the QC analyses (gfastats, BUSCO, and Merqury).
The workflow takes a trimmed Illumina WGS paired-end reads collection, Collapsed contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Collapsed contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).
The workflow takes a trimmed Illumina paired-end reads collection, runs Meryl to create a K-mer database, Genomescope2 to estimate genome properties and Smudgeplot to estimate ploidy. The main results are K-mer ddatabase and genome profiling plots, tables, and values useful for downstream analysis. Default K-mer length and ploidy for Genomescope are 21 and 2, respectively.
The workflow takes ONT reads collection, runs SeqKit and Nanoplot. The main outputs are a table and plots of raw reads stats.
