Diego De Panis

A collection of workflows and pipelines developed as part of the ERGA consortium

Assembly Evaluation for ERGA-BGE Reports

One Assembly, Illumina WGS reads + HiC reads

The workflow requires the following:

• Species Taxonomy ID number
• NCBI Genome assembly accession code
• BUSCO Lineage
• WGS accurate reads accession code
• NCBI HiC reads accession code

The workflow will get the data and process it to generate genome profiling (genomescope, smudgeplot -optional-), assembly stats (gfastats), merqury stats (QV, completeness), BUSCO, snailplot, contamination blobplot, and ...

Assembly Evaluation for ERGA-BGE Reports

One Assembly, HiFi WGS reads + HiC reads

The workflow requires the following:

• Species Taxonomy ID number
• NCBI Genome assembly accession code
• BUSCO Lineage
• WGS accurate reads accession code
• NCBI HiC reads accession code

The workflow will get the data and process it to generate genome profiling (genomescope, smudgeplot -optional-), assembly stats (gfastats), merqury stats (QV, completeness), BUSCO, snailplot, contamination blobplot, and HiC ...

The workflow takes trimmed HiC forward and reverse reads, and Pri/Alt assemblies to produce a scaffolded primary assembliy (and alternate contigs) using YaHS. It also runs all the QC analyses (gfastats, BUSCO, and Merqury).

The workflow takes a trimmed HiFi 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 trimmed HiFi reads collection, and max coverage depth (calculated from WF1) to run Hifiasm in HiFi solo mode. It produces a Pri/Alt assembly, and runs all the QC analysis (gfastats, BUSCO, and Merqury).

The workflow takes a trimmed HiFi 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 database 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 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 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 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 raw ONT reads and trimmed Illumina WGS paired reads collections, the ONT raw stats table (calculated from WF1) and the estimated genome size (calculated from WF1) to run NextDenovo and subsequently polish the assembly with HyPo. It produces collapsed assemblies (unpolished and polished) and runs all the QC analyses (gfastats, BUSCO, and Merqury).

The workflow takes raw ONT reads and trimmed Illumina WGS paired reads collections, and the estimated genome size and Max depth (both calculated from WF1) to run Flye and subsequently polish the assembly with HyPo. It produces collapsed assemblies (unpolished and polished) and runs all the QC analyses (gfastats, BUSCO, and Merqury).

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.

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 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, Forward/Reverse HiC reads, and the max coverage depth (calculated from WF1) 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 Light (l1).

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be PacBio HiFi reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output a scaffolded primary assembliy and alternate contigs, with the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for HiFi and one for Illumina HiC), WF1, WF2, WF3, WF4

Collection of Galaxy workflows for generating results used for creating ERGA-BGE Reports

For a given genome, two workflows should be run: the assembly evaluation (ASM analyses), and the annotation evaluation (ANNOT analyses)

Depending on the kind of data used for the genome assembly, you should choose HiFi or ONT (Illumina) workflows for ASM analyses

Collection of workflows designed to assembled a set of PacBio HiFi and Illumina HiC reads into a chromosome-scale de-novo assembly.

Development versions of these pipelines can be found in the ERGA github and any questions or queries can be raised on the ERGA Discussions Channel

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Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be PacBio HiFi reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output two scaffolded haplotype assemblies and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for HiFi and one for Illumina HiC), WF1, WF2, WF3, WF4