Dear Nanopore Community,
we are pleased to introduce a maintenance update for our EPI2ME workflows.
wf-basecalling (v1.5.0) bundles the dorado basecalling software into the EPI2ME ecosystem.
wf-single-cell (v3.1.0) provides functionality for the analysis of single-cell transcriptomic datasets prepared from 10x Genomics library types.
wf-metagenomics (v2.13.0) and wf-16s (v1.5.0)
Minimap2
classifier is used with the optional minimap2_by_reference
parameter - these files are written to : alignment_tables/{{ alias }}.alignment-stats.tsv
(default: False)Minimap2
or Kraken2
classifications can now be output to FASTQ file by specifying the optional output_unclassified
parameter (default: False) - this can facilitate further analysis of sequences that cannot be explained by the standard sequence databases.bracken-build: line 231: syntax error: unexpected end of file
wf-clone-validation (v1.8.0) - our workflow for the analysis of multiplexed plasmid sequencing database has been updated to improve to robustness of assemblies.
9
by default. Increasing this value may be recommended when there are thousands of sequence reads for each multiplexed sample. 0
by default. This change simplifies the assembly of shorter plasmids.wf-transcriptomes (v1.7.0) - our workflow for the analysis of direct RNA or cDNA sequence data has introduced a number of fixes.
Dataset release - DNA sequence data from collection of 96 multiplexed plasmids has been released to our ont-open-data project. This set of challenging to analyse plasmids contains a variety of sequence duplications, whole plasmid duplications and a variety of other repeat contexts. More information on the dataset can be found with the dataset release blog post.
We welcome any feedback, recommendations for future bioinformatics workflows and would be interested to hear about datasets and blog posts that would be of interest.
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