lucacozzuto

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362 Posts
PhD at @semm_it, bioinformatician at @CRGenomica. Sequencing, omics, RNA. Learning every day. 🇮🇹🇪🇸🇪🇺🇺🇦
Google scholarhttps://scholar.google.com/citations?user=ID_rfS4AAAAJ&hl=it
Githubhttps://github.com/lucacozzuto
Linkedinhttps://www.linkedin.com/in/cozzuto
The tool is tested via CI and documented here: biocorecrg.github.io/MOP2/docs/ while the repository is at github.com/biocorecrg/MOP2. This is a team effort between @biocorecrg and @NovoaLab
Another pipeline can then be used for improving the modified base detection using @AnnaDelgadoT's Nanoconsensus. The tool is open source and written using the new DSL2. It relies on a library of modules named Bionextflow and needs just either @Docker or @SingularityApp. It supports vbz compression, CUDA 10 & 11, M1 Apple processor and fine-tuning of command line options for each tool.

The protocol about MoP2 is out! MoP2 is a collection of @nextflowio pipelines for analysing Nanopore data with a special focus on dRNAseq. It can start from fast5 or fastq files and perform basecalling, demultiplexing, filtering, alignment, counting, assembling. https://link.springer.com/protocol/10.1007/978-1-0716-2962-8_13.

The results of the first pipeline can be fed to two other ones for polyA size estimation and modified base detection using different independent methods.

Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores

This chapter describes MasterOfPores v.2 (MoP2), an open-source suite of pipelines for processing and analyzing direct RNA Oxford Nanopore sequencing data. The MoP2 relies on the Nextflow DSL2 framework and Linux containers, thus enabling reproducible data analysis...

SpringerLink
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