Workflows
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demux_doublet_sim
Repository for Nextflow pipeline used in demuxSNP demultipelxing paper
Overall workflow
- Simulate doublets
- Add per-sample suffix to barcodes in BAM
- Merge per-sample BAMs
- Generate lookup of barcodes to rename to reach a set % doublets
- Rename barcodes in BAM as per lookup
- Benchmark methods
- Experiments 1: Vary doublet rate
- Experiment 2: Vary SNP subsetting
Inputs
Most inputs are specified in nextflow.config: container__souporcell: path to souporcell apptainer ...
Type: Nextflow
Creators: Michael Lynch, Leverages scripts developed by Weber et al (2021) DOI: https://doi.org/10.1093/gigascience/giab062
Submitter: Michael Lynch
PaSTa is a nextflow-based end-to-end image analysis pipeline for decoding image-based spatial transcriptomics data. It performs imaging cycle registration, cell segmentation and transcripts peak decoding. It is currently supports analysis of three types of ST technology:
- in-situ sequencing-like encoding
- MERFISH-like encoding
- RNAScope-like labelling
Prerequisites:
- Nextflow. Installation guide: https://www.nextflow.io/docs/latest/getstarted.html
- Docker or Singularity. Installation guide: ...
A workflow for performing alignment and phylogeny using protein sequences when studying genes/gene families.
RNA-SeqEZPZ-NF
Nextflow Pipeline for RNA-SeqEZPZ
A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations
RNA-SeqEZPZ-NF is another implementation of RNA-SeqEZPZ. RNA-SeqEZPZ-NF uses the same user interface as RNA-SeqEZPZ and runs the same pipeline, but runs the pipeline implemented by Nextflow. This pipeline is currently tested on HPC cluster with SLURM scheduler. Advanced ...
RNA-SeqEZPZ: A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations
RNA-SeqEZPZ is a pipeline to run analysis of RNA-Seq experiments from raw FASTQ files all the way to differential genes analysis. The pipeline is accessible through a graphical user interface implemented using a Shiny app and features interactive plots. Advanced users have the ability to customize the scripts provided with the pipeline. This pipeline is designed to run on an HPC ...
SciWIn Client Demo
A basic Workflow using SciWIn Client (s4n) can be created with the commands hereafter. This guide assumes the usage of unix based operating systems, however Windows should work, too. If not please open an issue.
Installation
Based on the Tail analysis workflow at https://git.embl.org/grp-cba/tail-analysis/-/blob/main/analysis_workflow.md
DUNE: Deep feature extraction by UNet-based Neuroimaging-oriented autoEncoder
A versatile neuroimaging encoder that captures brain complexity across multiple diseases: cancer, dementia and schizophrenia.
Overview
DUNE (Deep feature extraction by UNet-based Neuroimaging-oriented autoEncoder) is a neuroimaging-oriented deep learning model designed to extract deep features from multisequence brain MRIs, enabling their processing by basic machine learning algorithms. This project provides an ...
CryoDataBot
CryoDataBot is an automated pipeline designed to streamline dataset generation for cryogenic electron microscopy (cryoEM)-based atomic model building. It supports large-scale AI training and benchmarking by providing standardized tools for data retrieval, preprocessing, labeling, and quality control. CryoDataBot enables flexible configurations for diverse biomolecular structures, improves modeling reproducibility, and facilitates retraining of AI models such as U-Net and CryoREAD. ...
Type: Python
Creators: Qibo Xu, Hong Zhou, Leon Wu, Micahel Rebelo, Shi Feng, Star Yu, Farhanaz Farheen, Daisuke Kihara
Submitter: Qibo Xu
This workflow extracts protein-coding sequences from whole genome sequencing (WGS) data obtained from the European Nucleotide Archive (ENA). It automates the preprocessing, annotation, and selection of relevant protein sequences using tools such as Prokka, FASTA-to-Tabular, and pattern-based selection. The resulting dataset supports downstream analyses including comparative genomics, phylogenetics, and functional annotation.