Request execution of Galaxy SARS-CoV-2 variation analysis workflows on input data you provide.

Overview

SARS-CoV-2 processing requests

Request execution of Galaxy SARS-CoV-2 variation analysis workflows on input data you provide.

Prerequisites

This automation system is set up to work with ARTIC-amplified paired-end Illumina sequence data, the most common type of SARS-CoV-2 sequencing data today.

Usage

  • Fork the repo and create a new file in the file_requests/ directory.
    • The file should contain a header line, followed by a list of web links to the files you want to analyze. See the example file provided.
    • Links need to be formatted as follows: <base_url>/<sample ID>_[12].<file_extension> (1 representing the forward strand and 2 the reverse strand of paired-end data). If your data is not accessible in this way, or unpublished, it's not a problem - just create an issue and describe what you need.
  • Create a PR with your changes. We will review and merge it as soon as possible.

Analysis of your data

  • After merging, the data will be uploaded to Galaxy Europe and processed by our collection of SARS-CoV-2 genomic sequence analysis workflows, which will produce highly-sensitive per-sample variant calls, per-batch variant reports and reliable consensus sequences for all your samples.

  • Depending on the amount of other jobs running on our server and on the size of your data batch, processing may take between a few hours and a day.

  • Once ready, the complete analysis will become available as a set of published histories on the server.

    💡 Hint: Your histories will carry the filename from your pull request in their name.

  • Key result files - BAM, VCF and consensus sequence FASTA files for each sample in your batch - will also be pushed automatically to a publicly readable FTP server hosted by BSC.

  • After a few days your results will also be included in the viral Beacon project dashboard.

Links


The analyses will be performed using the Galaxy platform and open source tools from BioConda and BioContainers. The workflows will run on the de.NBI-cloud and form part of the Galaxy COVID-19 efforts with partners around the world. For more information please visit https://github.com/galaxyproject/SARS-CoV-2.

Galaxy Project   European Galaxy Project   Australian Galaxy Project   bioconda   XSEDE   TACC   de.NBI   ELIXIR   PSC   Indiana University   Galaxy Training Network   Bio Platforms Australia   Australian Research Data Commons   VIB   ELIXIR Belgium   Vlaams Supercomputer Center   EOSC-Life   Datamonkey   IFB   CRG   BSC  

Owner
useGalaxy.eu
useGalaxy.eu
Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project

Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model

Chen Wu 24 Nov 29, 2022
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-quality pre-trained models from torchvision, MMLabs, and soon Pytorch Image Models. It or

airctic 789 Dec 29, 2022
Riemann Noise Injection With PyTorch

Riemann Noise Injection - PyTorch A module for modeling GAN noise injection based on Riemann geometry, as described in Ruili Feng, Deli Zhao, and Zhen

2 May 27, 2022
Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentation"

Hyper-Convolution Networks for Biomedical Image Segmentation Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentatio

Tianyu Ma 17 Nov 02, 2022
Repo for EMNLP 2021 paper "Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression"

beyond-preserved-accuracy Repo for EMNLP 2021 paper "Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression" How to implemen

Kevin Canwen Xu 10 Dec 23, 2022
The codes and related files to reproduce the results for Image Similarity Challenge Track 1.

ISC-Track1-Submission The codes and related files to reproduce the results for Image Similarity Challenge Track 1. Required dependencies To begin with

Wenhao Wang 115 Jan 02, 2023
An automated facial recognition based attendance system (desktop application)

Facial_Recognition_based_Attendance_System An automated facial recognition based attendance system (desktop application) Made using Python, Tkinter an

1 Jun 21, 2022
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

FC-DenseNet-Tensorflow This is a re-implementation of the 100 layer tiramisu, technically a fully convolutional DenseNet, in TensorFlow (Tiramisu). Th

Hasnain Raza 121 Oct 12, 2022
This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers.

TransMix: Attend to Mix for Vision Transformers This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transf

Jie-Neng Chen 130 Jan 01, 2023
Rax is a Learning-to-Rank library written in JAX

🦖 Rax: Composable Learning to Rank using JAX Rax is a Learning-to-Rank library written in JAX. Rax provides off-the-shelf implementations of ranking

Google 247 Dec 27, 2022
CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.

selfcontact This repo is part of our project: On Self-Contact and Human Pose. [Project Page] [Paper] [MPI Project Page] It includes the main function

Lea Müller 68 Dec 06, 2022
Implementation of TimeSformer, a pure attention-based solution for video classification

TimeSformer - Pytorch Implementation of TimeSformer, a pure and simple attention-based solution for reaching SOTA on video classification.

Phil Wang 602 Jan 03, 2023
DeLiGAN - This project is an implementation of the Generative Adversarial Network

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Net

Video Analytics Lab -- IISc 110 Sep 13, 2022
I3-master-layout - Simple master and stack layout script

Simple master and stack layout script | ------ | ----- | | | | | Ma

Tobias S 18 Dec 05, 2022
Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

Action-Based Conversations Dataset (ABCD) This respository contains the code and data for ABCD (Chen et al., 2021) Introduction Whereas existing goal-

ASAPP Research 49 Oct 09, 2022
HairCLIP: Design Your Hair by Text and Reference Image

Overview This repository hosts the official PyTorch implementation of the paper: "HairCLIP: Design Your Hair by Text and Reference Image". Our single

322 Jan 06, 2023
MutualGuide is a compact object detector specially designed for embedded devices

Introduction MutualGuide is a compact object detector specially designed for embedded devices. Comparing to existing detectors, this repo contains two

ZHANG Heng 103 Dec 13, 2022
Pytorch implementation of our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION.

LiMuSE Overview Pytorch implementation of our paper LIMUSE: LIGHTWEIGHT MULTI-MODAL SPEAKER EXTRACTION. LiMuSE explores group communication on a multi

Auditory Model and Cognitive Computing Lab 17 Oct 26, 2022
NeRF Meta-Learning with PyTorch

NeRF Meta Learning With PyTorch nerf-meta is a PyTorch re-implementation of NeRF experiments from the paper "Learned Initializations for Optimizing Co

Sanowar Raihan 78 Dec 18, 2022
Python script to download the celebA-HQ dataset from google drive

download-celebA-HQ Python script to download and create the celebA-HQ dataset. WARNING from the author. I believe this script is broken since a few mo

133 Dec 21, 2022