Related items
- People (298)
- Teams (194)
- Organizations (186)
- Data files (1+1)
- SOPs (1)
- Publications (18)
- Presentations (4+1)
- Documents (6+4)
- Workflows (265+21)
Teams: CO2MICS Lab
Organizations: Biomedical Research Foundation (BRFAA) of the Academy of Athens
Teams: Medvedeva Lab
Organizations: Moscow Institute of Physics and Technology
Teams: MLme: Machine Learning Made Easy
Organizations: University of Bern
Teams: UX trial team
Organizations: The University of Manchester
Teams: IBISBA Workflows
Organizations: The University of Manchester
Teams: SKM3
Organizations: The Open University
Teams: Institute of Human Genetics
Organizations: Centre National de la Recherche Scientifique (CNRS)
Teams: IBISBA Workflows, nf-core viralrecon, Testing, Defragmentation TS, EuroScienceGateway, ELIXIR Training
Organizations: The University of Manchester
Expertise: Bioinformatics
Teams: EJPRD WP13 case-studies workflows
Organizations: EJP-RD
https://orcid.org/0000-0002-0637-9950Teams: BSC-CES
Organizations: Barcelona Supercomputing Center (BSC-CNS)
Teams: OME, Euro-BioImaging
Organizations: University of Dundee, Euro-BioImaging
https://orcid.org/0000-0001-8783-1429Teams: NBIS, ERGA Assembly
Organizations: NBIS – National Bioinformatics Infrastructure Sweden
https://orcid.org/0000-0003-1675-0677Expertise: Bioinformatics, Genomics, Scientific workflow developement, Workflows
I'm a bioinformatician for the National Bioinformatics Infrastrure Sweden. I specialise in de novo genome assembly and workflow development with Nextflow. I'm also a Nextflow ambassador and nf-core maintainer.
Teams: Edinburgh Genomics
Organizations: University of Edinburgh
https://orcid.org/0000-0003-2470-9519Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
Disease Ontology (DO) enrichment analysis is an effective means to discover the associations between genes and diseases. However, most current DO-based enrichment methods were unable to solve the over enriched problem caused by the “true-path” rule. To address this problem, we presents EnrichDO, a double weighted iterative model, which is based on the latest annotations of the human genome with DO terms and integrates the DO graph topology on a global scale. On one hand, to reinforce the saliency ...
Space: Independent Teams
Public web page: https://github.com/liangcheng-hrbmu/EnrichDO
Organisms: Not specified
Our lab, affiliated with Genoscope and the Institut de Biologie François Jacob of CEA, is part of a leading research institution with over 20,000 employees across nine centers in France, focusing on defense, low carbon energies, technological, and fundamental research.Genoscope, founded in 1996, shifted to environmental genomics in 2006, collaborating with the national scientific community on diverse projects. Affiliated with Paris-Saclay University, Genoscope specializes in biodiversity exploitation ...
Space: Independent Teams
Public web page: https://www.genoscope.cns.fr/lbgb/
Organisms: Not specified
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
Space: Independent Teams
Public web page: https://erasmusmc-bioinformatics.github.io/
Organisms: Not specified
interTwin co-designs and implements the prototype of an interdisciplinary Digital Twin Engine (DTE) – an open source platform based on open standards that offers the capability to integrate with application-specific Digital Twins (DTs). Its functional specifications and implementation are based on a co-designed interoperability framework and conceptual model of a DT for research – the DTE blueprint architecture. The ambition of interTwin is to create consensus on a common approach to the ...
Space: Independent Teams
Public web page: https://www.intertwin.eu/
Organisms: Not specified
Space: Independent Teams
Public web page: https://erasmusmc-bioinformatics.github.io/benchAMRking/
Organisms: Not specified
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
This repository presents an objective, quantifiable method for assessing atopic dermatitis (AD) severity. The program integrates deep learning object detection with spatial analysis algorithms to accurately calculate the density of circular nano-size objects (CNOs), termed the Effective Corneocyte Topographical Index (ECTI). The ECTI demonstrates remarkable robustness in overcoming the inherent challenges of nano-imaging, such as environmental noise and structural occlusions on the corneocyte ...
Space: Independent Teams
Public web page: https://github.com/JenHungWang/ECTI_Atopic_Dermatitis
Organisms: Not specified
The Snakemake-Workflows team develops best practice workflows for Snakemake
Space: Independent Teams
Public web page: https://github.com/snakemake-workflows
Organisms: Not specified
An open infrastructure for exploring new horizons for research on microbial communities.
Organisms: Not specified
Our team focuses on advancing the field of Dependent Task Scheduling in edge computing environments. We specialize in modeling dependent tasks as Directed Acyclic Graphs (DAGs) to optimize resource allocation and improve overall system performance in edge computing scenarios. Our research encompasses:1. Development of novel scheduling algorithms for DAG-based tasks in edge computing2. Performance analysis and optimization of existing scheduling strategies3. Implementation and evaluation of DAG-based ...
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
In the IDUN section, we are working on micro- and nano sensor development and microdevices for drug delivery.
Space: Independent Teams
Public web page: https://www.healthtech.dtu.dk/research/research-sections/section-idun
Organisms: Not specified
Members of Culhane research group
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
Space: Independent Teams
Public web page: https://ega-archive.org/
Organisms: Not specified
Space: Independent Teams
Public web page: Not specified
Organisms: Not specified
Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning
Space: Independent Teams
Public web page: http://www.liulab.top/GraphRBF
Organisms: Not specified
Space: Independent Teams
Public web page: https://usegalaxy.eu
Organisms: Not specified
Country: Australia
City: Camperdown
Web page: https://www.centenary.org.au/research/programs/molecular-cardiology-program/
Country: Switzerland
City: Lausanne
Web page: https://www.chuv.ch/en/microbiologie/imu-home/diagnostics/genomics-and-metagenomics
Download all genome from https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?SeqType_s=Nucleotide with filter host:viridiplantae and Refseq on.
Creator: johan Rollin
Submitter: johan Rollin
Abstract (Expand)
Authors: W.T.K. Maassen, L.F. Johansson, B. Charbon, D. Hendriksen, S. van den Hoek, M.K. Slofstra, R. Mulder, M.T. Meems-Veldhuis, R. Sietsma, H.H. Lemmink, C.C. van Diemen, M.E. van Gijn, M.A. Swertz, K.J. van der Velde
Date Published: 15th Apr 2024
Publication Type: Unpublished
DOI: 10.1101/2024.04.11.24305656
Citation: medrxiv;2024.04.11.24305656v2,[Preprint]
Abstract (Expand)
Author: Yasmmin Martins
Date Published: 28th Sep 2023
Publication Type: Journal
DOI: 10.1101/2023.09.27.23296213
Citation: medrxiv;2023.09.27.23296213v1,[Preprint]
Abstract (Expand)
Authors: Yasmmin Côrtes Martins, Ronaldo Francisco da Silva
Date Published: 27th Sep 2023
Publication Type: Journal
DOI: 10.1101/2023.09.26.559599
Citation: biorxiv;2023.09.26.559599v1,[Preprint]
Abstract (Expand)
Authors: Yasmmin Martins, Ronaldo Francisco da Silva
Date Published: 22nd Jun 2023
Publication Type: Journal
DOI: 10.1101/2023.06.22.546079
Citation: biorxiv;2023.06.22.546079v1,[Preprint]
Abstract (Expand)
Author: Yasmmin C Martins
Date Published: 7th Jun 2023
Publication Type: Journal
DOI: 10.1101/2023.06.05.543725
Citation: biorxiv;2023.06.05.543725v1,[Preprint]
Abstract (Expand)
Authors: Yasmmin Côrtes Martins, Artur Ziviani, Maiana de Oliveira Cerqueira e Costa, Maria Cláudia Reis Cavalcanti, Marisa Fabiana Nicolás, Ana Tereza Ribeiro de Vasconcelos
Date Published: 2023
Publication Type: Journal
Citation: Bioinformatics Advances 3(1),vbad067
Abstract (Expand)
Authors: Rafael Terra, Kary Ocaña, Carla Osthoff, Lucas Cruz, Philippe Navaux, Diego Carvalho
Date Published: 19th Oct 2022
Publication Type: InProceedings
DOI: 10.5753/wscad.2022.226366
Citation: Anais do XXIII Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2022),pp.73-84,Sociedade Brasileira de Computação
Abstract (Expand)
Authors: Andrzej Oleksa, Eliza Căuia, Adrian Siceanu, Zlatko Puškadija, Marin Kovačić, M. Alice Pinto, Pedro João Rodrigues, Fani Hatjina, Leonidas Charistos, Maria Bouga, Janez Prešern, Irfan Kandemir, Slađan Rašić, Szilvia Kusza, Adam Tofilski
Date Published: 1st Oct 2022
Publication Type: Journal
Citation:
Abstract (Expand)
Authors: Rafael Terra, Kary Ocaña, Carla Osthoff, Diego Carvalho
Date Published: 18th Feb 2022
Publication Type: Master's Thesis
Citation: TERRA, R. S. Framework para execução de workflows de redes filogenéticas em ambientes de computação de alto desempenho. 2022. 71 f. Tese. (Programa de Pós-Graduação em Modelagem Computacional) - Laboratório Nacional de Computação Científica, Petrópolis, 2022.
Abstract (Expand)
Authors: Yasmmin Côrtes Martins, Artur Ziviani, Marisa Fabiana Nicolás, Ana Tereza Ribeiro de Vasconcelos
Date Published: 6th Sep 2021
Publication Type: Journal
DOI: 10.3389/fbinf.2021.731345
Citation: Front. Bioinform. 1,731345
Abstract (Expand)
Authors: Rafael Terra, Micaella Coelho, Lucas Cruz, Marco Garcia-Zapata, Luiz Gadelha, Carla Osthoff, Diego Carvalho, Kary Ocaña
Date Published: 18th Jul 2021
Publication Type: InProceedings
DOI: 10.5753/bresci.2021.15788
Citation: Anais do XV Brazilian e-Science Workshop (BRESCI 2021),pp.49-56,Sociedade Brasileira de Computação
Abstract (Expand)
Authors: Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Carole Goble
Date Published: 14th May 2021
Publication Type: Unpublished
Citation: arXiv 2105.07028 [cs.DC]
Abstract
Authors: Anna-Lena Lamprecht, Magnus Palmblad, Jon Ison, Veit Schwämmle, Mohammad Sadnan Al Manir, Ilkay Altintas, Christopher J. O. Baker, Ammar Ben Hadj Amor, Salvador Capella-Gutierrez, Paulos Charonyktakis, Michael R. Crusoe, Yolanda Gil, Carole Goble, Timothy J. Griffin, Paul Groth, Hans Ienasescu, Pratik Jagtap, Matúš Kalaš, Vedran Kasalica, Alireza Khanteymoori, Tobias Kuhn, Hailiang Mei, Hervé Ménager, Steffen Möller, Robin A. Richardson, Vincent Robert, Stian Soiland-Reyes, Robert Stevens, Szoke Szaniszlo, Suzan Verberne, Aswin Verhoeven, Katherine Wolstencroft
Date Published: 2021
Publication Type: Journal
DOI: 10.12688/f1000research.54159.1
Citation: F1000Res 10:897
Abstract (Expand)
Authors: Cristina S. Ferreira, Yasmmin C. Martins, Rangel Celso Souza, Ana Tereza R. Vasconcelos
Date Published: 2021
Publication Type: Journal
DOI: 10.7717/peerj.12548
Citation: PeerJ 9:e12548
Abstract
Authors: Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes, Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, Daniel Schober
Date Published: 2020
Publication Type: Journal
DOI: 10.1162/dint_a_00033
Citation: Data Intellegence 2(1-2):108-121
Abstract (Expand)
Authors: Yasmmin Cortes Martins, Maria Cláudia Cavalcanti, Luis Willian Pacheco Arge, Artur Ziviani, Ana Tereza Ribeiro de Vasconcelos
Date Published: 2019
Publication Type: Journal
DOI: 10.1007/978-3-030-36599-8_23
Citation: Metadata and Semantic Research 1057:260-271,Springer International Publishing
Abstract (Expand)
Authors: Anna Nawrocka, Irfan Kandemir, Stefan Fuchs, Adam Tofilski
Date Published: 1st Apr 2018
Publication Type: Journal
Citation:
Abstract (Expand)
Authors: Yasmmin Cortes Martins, Fábio Faria da Mota, Maria Cláudia Cavalcanti
Date Published: 2016
Publication Type: Journal
DOI: 10.1007/978-3-319-49157-8_29
Citation: Metadata and Semantics Research 672:333-344,Springer International Publishing
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.
Creator: Daniel Marchan
Submitter: Daniel Marchan
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 ...
Creator: Mahnoor Zulfiqar
Submitter: Mahnoor Zulfiqar
This workflow is part of the EJP RD case study on CAKUT published here: Bayjanov, J.R., Doornbos, C., Ozisik, O. et al. Integrative analysis of multi-omics data reveals importance of collagen and the PI3K AKT signalling pathway in CAKUT. Sci Rep 14, 20731 (2024). https://doi.org/10.1038/s41598-024-71721-8
Creator: Juma Bayjan
Submitter: Juma Bayjan
Creator: Jasper Koehorst
Submitter: Jasper Koehorst
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 ...
Creators: Hrishikesh Dhondge, Isaure Chauvot de Beauchêne, Marie-Dominique Devignes
Submitter: Hrishikesh Dhondge
Creator: Jean-Marie Burel
Submitter: Jean-Marie Burel
Creator: panou@fleming.gr Panou
Submitter: panou@fleming.gr Panou
Creator: johan Rollin
Submitter: johan Rollin
EnrichDO
EnrichDO is a double weighted iterative model by integrating the DO graph topology on a global scale. EnrichDO was based on the latest annotations of the human genome with DO terms, and double weighted the annotated genes. On one hand, to reinforce the saliency of direct gene-DO annotations, different initial weights were assigned to directly annotated genes and indirectly annotated genes, respectively. On the other hand, to detect locally most significant node between the ...
GALOP - Genome Assembly using Long reads Pipeline
This repository contains an exact copy of the standard Genoscope long reads assembly pipeline.
At the moment, this is not intended for users to download as it uses grid submission commands that will only work at Genoscope. As time goes on, we intend to make this pipeline available to a broader audience. However, genome assembly and polishing commands are accessible in the lib/assembly.py
and lib/polishing.py
files.
galop.py -h
Mandatory
...
cfDNA UniFlow is a unified, standardized, and ready-to-use workflow for processing whole genome sequencing (WGS) cfDNA samples from liquid biopsies. It includes essential steps for pre-processing raw cfDNA samples, quality control and reporting. Additionally, several optional utility functions like GC bias correction and estimation of copy number state are included. Finally, we provide specialized methods for extracting coverage derived signals and visualizations comparing cases and controls. ...
This is an aggregation of the work done in Seq4AMR consisting of the following workflows:
- WF1: AbritAMR / AMRFinderPlus
- WF2: Sciensano (not currently included)
- WF3: SRST2
- WF4: StarAMR
Installation
- You will need to:
- run the [RGI Database ...
Subset data on the Mediterreanean see and extract and visualise the Phosphate variable
Workflow permettant de prendre en entrée les résultats du challenge IA-biodiv par tâche, le fichier de référence par tâche afin de faire tourner un jupyter notebook produisant les scores pour chaque consortium participant.
beacon-omop-worker-survival-analysis
skim2mito
skim2mito is a snakemake pipeline for the batch assembly, annotation, and phylogenetic analysis of mitochondrial genomes from low coverage genome skims. The pipeline was designed to work with sequence data from museum collections. However, it should also work with genome skims from recently collected samples.
Contents
- Setup
- Example data
- Input
- Output
- Filtering contaminants
- [Assembly and ...
Workflow for microbial (meta-)genome annotation
Input is a (meta)genome sequence in fasta format.
-
bakta
-
KoFamScan (optional)
-
InterProScan (optional)
-
eggNOG mapper (optional)
-
To RDF conversion with SAPP (optional, default on) --> SAPP conversion Workflow in WorkflowHub
Workflow for converting (genome) annotation tool output into a GBOL RDF file (TTL/HDT) using SAPP
Current formats / tools:
- EMBL format
- InterProScan (JSON/TSV)
- eggNOG-mapper (TSV)
- KoFamScan (TSV)
git: https://gitlab.com/m-unlock/cwl
SAPP (Semantic Annotation Platform with Provenance):
https://gitlab.com/sapp
https://academic.oup.com/bioinformatics/article/34/8/1401/4653704
Current version of this workflow: https://workflowhub.eu/workflows/1109. Please use only with the new version. KNIME workflow to gather ChEMBL permeability data is availbale: https://workflowhub.eu/workflows/1169.
Article abstract
Permeability is an important molecular property in drug discovery, as it co-determines pharmacokinetics whenever a drug crosses the phospholipid bilayer, e.g., into the cell, in the gastrointestinal tract or across the blood-brain barrier. Many methods for the determination of permeability have been developed, including cell line assays, cell-free model systems like PAMPA mimicking, e.g., gastrointestinal epithelia or the skin, as well as the Black lipid membrane (BLM) and ...
demux_doublet_sim
Repository for Nextflow pipeline used in demuxSNP demultipelxing paper
Overall workflow
- Simulate doublets
- 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 image, ideally at top level of project. bam_path: Path to demultiplexed bam files. barcodes_path: Path to demultiplexed barcodes. tenx: Path to barcodes.tsv, features.tsv ...
Type: Nextflow
Creators: Michael Lynch, Leverages scripts developed by Weber et al (2021) DOI: https://doi.org/10.1093/gigascience/giab062
Submitter: Michael Lynch
Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment
This repository presents an objective, quantifiable method for assessing atopic dermatitis (AD) severity. The program integrates deep learning object detection with spatial analysis algorithms to accurately calculate the density of circular nano-size objects (CNOs), termed the Effective Corneocyte Topographical Index (ECTI). The ECTI demonstrates remarkable ...
EuCanImage FHIR ETL Implementation
This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.
- Code Language is written in Python 3.11. ...
EuCanImage FHIR ETL Implementation
This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.
- Code Language is written in Python 3.11. ...
Type: Python
Creators: Aldar Cabrelles, Based on FHIR Resources made by NazrulWorld on GitHub (https://github.com/nazrulworld/)
Submitter: Aldar Cabrelles
EuCanImage FHIR ETL Implementation
This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.
- Code Language is written in Python 3.11. ...
Type: Python
Creators: Aldar Cabrelles, Based on FHIR Resources made by NazrulWorld on GitHub (https://github.com/nazrulworld/)
Submitter: Aldar Cabrelles