The Computer Research Institute of Montreal (CRIM) is a leading center for applied research and cutting-edge expertise in artificial intelligence and information technology. It generates concrete results and serves as a strategic partner for organizations focused on innovation.CRIM creates socio-economic value from scientific and technological advances through:- Support: providing companies access to experts who answer scientific and technological questions.- Applied research: contributing to ...

Fungal Genomics and Industrial Applications Lab

Scipion team located at the National Centre for Biotechnology (CNB, CSIC)

This is a test WorkflowHub Account

The New Zealand Institute for Plant and Food Research Limited is a New Zealand government-owned Crown Research Institute, subject to the Crown Entities Act 2004, the Crown Research Institutes Act 1992 and the Companies Act 1993.

MOLGENIS team Genomics Coordination Center, Department of Genetics, University Medical Center Groningen (UMCG)

EJPRD WP13 case-studies workflows from phase 1.

Laboratory of Microbial Genomics and Systems/Synthetic Biology

Mid-Ohio Regional Planning Commission (MORPC) is the Metropolitan Planning Organization and Regional Council of Governments for a 15-county region in Central Ohio (USA).

team dedicated to the development of the deepdefense software

In the Cancer Therapeutics and Drug Safety research group, headed by Bob Van de Water, cell signaling programs that underlie adverse drug reactions as well as cancer development and progression are unraveled. Adverse drug reactions involve cell injury in critical target organ cells which leads to the activation of cellular stress response signaling pathways. We study the molecular mechanisms of cellular stress response activation and control of cell survival and cell death. In the context of ...

The adult neurooncology team of the Division of Neuropathology and Neurochemistry of the Medical University of Vienna.

Download all genome from https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?SeqType_s=Nucleotide with filter host:viridiplantae and Refseq on.

This document provides a detailed explanation of all the workflows, including their functionalities, problems they address, advantages, disadvantages, implementation requirements, and open points for future versions.

In the age of high-throughput data, computational workflows have made data processing tasks flexible, manageable, and automated. To administer different computational activities in a workflow, different workflow management systems (WMS) are used that necessitate a sophisticated level of standardisation. Standardisation and reproducibility can be achieved by using standard formats for specifying workflows, such as Common Workflow Language (CWL), and provenance gathering with the standard W3C PROV ...

Poster and presentation video by Ambarish Kumar

Protein domains can be viewed as building blocks, essential for understanding structure-function relationships in proteins. However, each domain database classifies protein domains using its own methodology. Thus, in many cases, boundaries between different domains or families differ from one domain database to the other, raising the question of domain definition and enumeration. The answer to this question cannot be found in a single database. Rather, expert integration and curation of various ...

CoCoMiCo analyses on collections of simulated communities. Community: scatterplots and KW tests of cooperation and competition potentials, for each collection. Similarity: cooperation and competition potentials vs model similarity, defined as the Jaccard distance on sets of reactions. Added value: boxplots comparing the added value of models in communities.

This Workflow takes a dataset collection of single-cell ATAC-seq fragments and performs:

• preprocessing
• filtering
• concatenation
• dimension reduction
• batch correction (with Harmony and optionally Scanorama and MNC-correct)
• leiden clustering

Example Workflow of Tutorial "Single-cell ATAC-seq standard processing with SnapATAC2". This workflow takes a fragment file as input and performs the standard steps of scATAC-seq analysis: filtering, dimension reduction, embedding and visualization of marker genes with SnapATAC2. Finally, the clusters are manually annotated with the help of marker genes. In an alternative step, the fragment file can also be generated from a BAM file.

The second-level complexity workflow is one among a collection of workflows designed to address tasks up to CTF estimation. In addition to the functionalities provided by the layer 0 workflow, this workflow aims to enhance the quality of acquisition images using quality protocols.

Quality control protocols

• Movie max shift: automatic reject those movies whose frames move more than a given threshold. 

• Tilt analysis: quality score based in the Power Spectrum Density (astigmatism and ...

SPA workflow using cryosparc processing engine

The simplest workflow among a collection of workflows intended to solve tasks up to CTF estimation.

...

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Workflow for gene set enrichment analsysis (GSEA) and co-expression analysis (WGCNA) on transcriptomics data to analyze pathways affected in Porto-Sinusoidal Vascular Disease.

Predict variants and drug resistance from M. tuberculosis sequence samples (Illumina)

Variant Interpretation Pipeline (VIP) that annotates, filters and reports prioritized causal variants in humans, see https://github.com/molgenis/vip for more information.

CNVand

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pod5_by_pore

A Snakemake workflow to take the POD5 files produced by an Oxford Nanopore sequencing run and re-batch them by pore (ie. by channel).

This is useful if you want to run duplex basecalling because you can meaningfully run "dorado duplex" on a single (or a subset of) the POD5 files.

Know issues

It is assumed all POD5 input files are from the same sequencing run, but this is not checked.

beacon-omop-worker-workflows

GBMatch_CNN

Work in progress... Predicting TS & risk from glioblastoma whole slide images

Reference

Upcoming paper: stay tuned...

Dependencies

python 3.7.7

randaugment by Khrystyna Faryna: https://github.com/tovaroe/pathology-he-auto-augment

tensorflow 2.1.0

scikit-survival 0.13.1

pandas 1.0.3

lifelines 0.25.0

Description

The pipeline implemented here predicts transcriptional subtypes and survival of glioblastoma patients based on H&E stained whole slide scans. Sample data is ...

A hecatomb is a great sacrifice or an extensive loss. Heactomb the software empowers an analyst to make data driven decisions to 'sacrifice' false-positive viral reads from metagenomes to enrich for true-positive viral reads. This process frequently results in a great loss of suspected viral sequences / contigs.

For information about installation, usage, tutorial etc please refer to the documentation: https://hecatomb.readthedocs.io/en/latest/

Quick start guide

Install Hecatomb from Bioconda ...

With this galaxy pipeline you can use Salmonella sp. next generation sequencing results to predict bacterial AMR phenotypes and compare the results against gold standard Salmonella sp. phenotypes obtained from food.

This pipeline is based on the work of the National Food Agency of Canada. Doi: 10.3389/fmicb.2020.00549

JAX NGS Operations Nextflow DSL2 Pipelines

This repository contains production bioinformatic analysis pipelines for a variety of bulk 'omics data analysis. Please see the Wiki documentation associated with this repository for all documentation and available analysis workflows.

Complete workflow for TANGO as reported in Lecomte et al (2024), "Revealing the dynamics and mechanisms of bacterial interactions in cheese production with metabolic modelling", Metabolic Eng. 83:24-38 https://doi.org/10.1016/j.ymben.2024.02.014

1. Parameters for individual models are obtained by optimization
2. Individual dynamics and community dynamics are simulated
3. Figures for the manuscript are assembled from the results.