# data[].attributes.title
de.KCD Meet the Experts Consultancy Hour - Series

# data[].attributes.description
We at de.KCD look forward to welcoming you to our open consultation hour and answering your questions about cloud or data management. Our open consultation hour takes place every two weeks on Fridays from 14:30 - 15:30 and is held as an open Zoom meeting. 

In addition, our consultation hours always deal with a specific overarching topic on which experts from our network will give a short presentation. We cordially invite you to take part in our consultation hours. Whether you have technical or theoretical, simple or complex questions, or simply need to talk and want to exchange ideas - we look forward to your participation!

##Details:

**The next consultancy hours:** 

17 Apr 2026: Data Management Platforms, Planning, Set-up and Usage
12 June 2026: Introduction to Object Storage
26 June 2026: Intro to LLMs Specific to Medical Applications
10 July 2026: Software Stacks Based on Ansible Roles and Playbooks
04 Sep 2026: How to do version control with git
18 Sept. 2026 Software management with Containers and Bioconda
2. Okt. 2026 Web Service Security
16. Okt. 2026 Easy cloud access via SimpleVM

from 14:30 to 15:30 CET, respectively. 

The link to the zoom meeting, along with an opportunity to raise questions, can be found [here](https://datenkompetenz.cloud/en/ask-our-experts/)

# data[].attributes.title
BioFAIR Data to Discovery: Single-Cell Analysis with Galaxy

# data[].attributes.description
Learn how to perform your own single-cell analysis using Galaxy – no programming required.

# data[].attributes.learning-objectives
 * Be ready to apply the Seurat pipeline to new datasets
 * Construct and run a cell type annotation for the clusters
 * Construct and run a dimensionality reduction using Principal Component Analysis
 * Describe an AnnData object to store single-cell data
 * Evaluate quality of single-cell data and apply steps to select and filter cells and genes based on QC
 * Evaluate the quality of single cell data and filter out low quality cells
 * Execute data normalization and scaling
 * Explain the preprocessing steps for single-cell data
 * Explain the steps involved in clustering single cell data
 * Identify highly variable genes
 * Identify marker genes for the clusters
 * Perform a graph-based clustering for cells
 * Perform clustering with Seurat
 * Perform differential expression analysis using edgeR
 * Prepare single cell data for analysis with Seurat
 * Understand and generate the pseudobulk expression matrix with Decoupler
 * Understand the principles of pseudobulk analysis in single-cell data

# data[].attributes.description
Educators:
Robert Heyer, Dirk Benndorf, Patrick Hellwig, Daniel Kautzner (BiGi)

Date:
22-24.07.2026

Location:
Berlin, Germany (first 2 days); Magdeburg, Germany (lab visit)

Contents:
“Summer Metaproteomics Workshop” is a 3-day workshop introducing students to the fundamentals of metaproteomics, including key technologies and computational approaches used to study microbial communities. Designed for students interested in microbiology, proteomics, bioinformatics, systems biology, and microbiome research, the workshop combines theoretical background with practical insights.
The first two days will cover an introduction to metaproteomics, mass spectrometry (MS) technology, bioinformatics (data processing, statistics, workflows) , a hands-on tutorial on MPA, and basic principles of data visualization. On the final day, students will visit a laboratory to experience metaproteomics workflows and technologies in a real research setting.
By the end of the workshop, participants will have gained a foundational understanding of metaproteomics, MS-based analysis, bioinformatics workflows, and data visualization, along with first-hand exposure to laboratory practice.

Prerequisites:
Laptop

Keywords:
Metaproteomic, Microbiome, Students

Tools:
MetaProteomeAnalyzer Cloud

# data[].attributes.title
Northern Bioinformatics User Group (NorthenBUG) 16

# data[].attributes.description
NorthernBUG16 is coming to Bradford. 📍
Join us on 24 July 2026 at the Norcroft Centre, University of Bradford.
NorthernBUG connects bioinformatics researchers across the north of England (The University of Sheffield, The University of Huddersfield, University of York, The University of Manchester, University of Leeds, University of Hull, University of Nottingham, University of Liverpool and Newcastle University).
Expect inspiring talks.
Share ideas.
Grow your network.
Full details and schedule are on our 🔗[website](https://northernbug.github.io/northernbug16)
**Register directly** 🔗[here](https://forms.microsoft.com/pages/responsepage.aspx?id=0aJeJGVDJkeAWmMeuT2TqkG13SV1FMJHsdcXqi8TvnZUN0lCWk9ZWjJXUjM5UUdIUUNaSzk1NklTUi4u&route=shorturl)
Registration closes Friday, 17 July 2026.

You are welcome to register to attend and submit a talk or poster, or both 

Thanks to ELIXIR-UK for sponsoring this event. 

Thanks to the UKRI Digital Research Skills Catalyst Project for providing [five travel scholarships](https://digitalskillscatalyst.ac.uk/news/2026-06-01-nbug16.html) to attend NorthernBug16. To register, please fill out this 🔗[form](https://docs.google.com/forms/d/e/1FAIpQLSdUfZNT7x3BT2BfLKoZIEs33uTNqTmoVxC54zcm9A5XhyCTBA/viewform) by July 15th.

For more information about the event, please reach out to me at k.jumah@bradford.ac.uk.

# data[].attributes.organizer
University of Bradford and NorthernBUG steering committee

# data[].attributes.venue
Norcroft Centre, University of Bradford,  Richmond Road

# data[].attributes.title
WORKSHOP: Single cell RNAseq analysis in R

# data[].attributes.description
Analysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you how to perform single cell RNAseq analysis using [Seurat](https://satijalab.org/seurat/index.html), [Harmony](https://github.com/immunogenomics/harmony) and [Single R](https://bioconductor.org/packages/release/bioc/html/SingleR.html) \- R packages for QC, analysis, and exploration of single-cell RNAseq data. 

We will discuss the ‘why’ behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data.

**Learning outcomes:**

By the end of the workshop you should be able to:

* Load gene counts into a Seurat format  
* Perform QC and select cells for further analysis  
* Filter and normalise scRNAseq data  
* Cluster cells and identify cluster markers  
* Visualise scRNAseq expression data  
* Perform differential expression analysis




**Lead Trainers:** 

Dr Sarah Williams, Senior Bioinformatician, QCIF Digital Research.

Fred Jaya, Senior Bioinformatician (Australian BioCommons), Sydney Informatics Hub, University of Sydney.

**Date/Time**: 28 \- 29 July 2026, 1 \- 4:30 pm AEST/ 12:30 \- 4pm ACST/ 11am \- 2:30 pm AWST  
([Check in your timezone](https://www.timeanddate.com/worldclock/fixedtime.html?msg=Single+cell+RNAseq+analysis+in+R+2026&iso=20260728T13&p1=152&ah=3&am=30))

**Location:** Online

**Format:** This online workshop will take place over two half-day sessions. You must attend both sessions. Expert trainers will guide you through each of the topics and provide hands-on activities to help you put your new skills into action. 

**Who the workshop is for:**

This workshop is for Australian researchers in academia, government or industry who are or will work with scRNAseq data as part of their projects. You must be associated with an Australian organisation for your application to be considered.

*Prerequisites*

This workshop requires some basic familiarity with R.

While you don’t need to be an expert, you should be able to work with tables of data, know how to load an R library and make basic plots (ideally with ggplot2).

You should also have basic knowledge of single cell RNA sequencing technology.  

**How to apply:**

This workshop is free but participation is subject to application with selection. 

[**Apply here**](https://scRNAseq2026.eventbrite.com.au)

Applications close at **11:59 pm AEST, 13 July 2026**.

Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). 

Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our [Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications)

*This workshop is presented by [Australian BioCommons](https://www.biocommons.org.au/), QCIF, Sydney Informatics Hub, and Monash Genomics and Bioinformatics Platform with the assistance of a network of facilitators from the national [Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative).*

*This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you'd like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter*

# data[].attributes.learning-objectives
By the end of the workshop you should be able to:

* Load gene counts into a Seurat format  
* Perform QC and select cells for further analysis  
* Filter and normalise scRNAseq data  
* Cluster cells and identify cluster markers  
* Visualise scRNAseq expression data  
* Perform differential expression analysis

# data[].attributes.prerequisites
*Prerequisites*

You must be associated with an Australian organisation for your application to be considered.
This workshop requires some basic familiarity with R.

While you don’t need to be an expert, you should be able to work with tables of data, know how to load an R library and make basic plots (ideally with ggplot2).

You should also have basic knowledge of single cell RNA sequencing technology.  


# data[].attributes.title
(2026) Statistical Foundations for Bioinformatics: Truro, NS

# data[].attributes.description
This is a specialized course designed for bioinformatics professionals and researchers dealing with biological datasets who are unsure about which statistical analysis they should implement. This course focuses on empowering participants to conduct end-to-end data analyses. Learn the art of selecting appropriate statistical methods aligned with research questions, and develop a decision tree guiding data cleaning, exploration, analysis, and interpretation. Engage in hands-on coding sessions in the R software with real-world datasets, learning the skills needed to confidently navigate and communicate insights throughout the analytical process. Particular emphasis will be placed on developing an understanding of the statistical methods used, when to apply them, and how to interpret them. By the course’s conclusion, participants will be equipped with a concise and powerful toolkit for unlocking the full potential of complex biological datasets.

# data[].attributes.learning-objectives
Participants will gain practical experience and skills to be able to:  Understand the challenges and opportunities presented by complex biological data. Apply fundamental techniques for exploring and summarizing biological datasets. Address missing values through sophisticated imputation methodologies.  Analyze relationships within high-dimensional data, both between variables and samples, employing regression methods, regularization techniques, and clustering methods. Integrate various statistical methods into a cohesive workflow to tackle a variety of common problems in bioinformatics from data exploration to interpretation.

# data[].attributes.prerequisites
Participants are expected to have completed the ‘Introduction to R’ and ‘Analysis Using R’ courses available through Bioinformatics.ca or possess equivalent proficiency in R. Previous years’ R workshop materials are available open-access here. In particular, we expect participants to feel comfortable with the following skills in R as our course will build upon them:  Reading data into R Data types and classes  Manipulating data in R with Tidyverse (e.g., select, mutate, filter, etc.) Making plots in ggplot2 Writing custom functions Estimating a correlation matrix Hierarchical and K-means clustering algorithms Fitting a linear regression model with the lm function Fitting a logistic regression model with the glm function  You will also require your own laptop computer. Minimum requirements: 1024×768 screen resolution, 1.5GHz CPU, 2GB RAM, 10GB free disk space, recent versions of Windows, Mac OS X or Linux (Most computers purchased in the past 3-4 years likely meet these requirements). This workshop requires participants to complete pre-workshop tasks and readings.

# data[].attributes.description
In Life Sciences and Bioinformatics, the R programming language is pivotal for data transformation, statistical analyses, and crafting publication-ready visualizations. This workshop goes beyond the basics, offering participants a comprehensive understanding of the R ecosystem. We explore best coding practices, code profiling, delve into data wrangling intricacies, emphasize reproducible research and hands-on development of web apps using R.

Apply before February 1st, 2026, to get a early bird price on the course fee!

For more detailed information, please visit our website. 

[https://go.nbis.se/raukr](https://go.nbis.se/raukr)

# data[].attributes.title
WEBINAR: The Data Is Moving to the Clinic: Why Research Genomics Infrastructure Must Plug Into Healthcare

# data[].attributes.description
**The Data Is Moving to the Clinic: Why Research Genomics Infrastructure Must Plug Into Healthcare**

**Description:**

Australia's recently announced $200M Precision Medicine research initiative has an ambitious goal: to embed genomics into mainstream healthcare for good. Genomics research generates incredibly valuable evidence, but it has done little to replace paper ordering, non-standardised tests, siloed data, and the lack of national oversight of the genomic tests actually being done across the country. This presentation will discuss how genomic data is moving from research to the clinic, and why research data infrastructure must pivot to interface with the healthcare stack: consent, ordering, labs, results, storage, health records, identity (IHI), My Health Record and more. The speaker will dig into the practical problems, map out the emerging ecosystem, and highlight what it means for what we build next.

Dr Natalie Thorne has been working on Genomical since it was first developed in 2015. With over 25-years of experience in bioinformatics and genomics, Nat’s expertise spans multiple disciplines: from computational biology, healthcare and pathology to software development and data governance.

**Speaker: **

Dr Natalie Thorne, Chief Scientific Officer, Genomical

**Date/Time:** Tuesday 11 August 2026, 1-2 pm AEST / 12:30 - 1:30 pm ACST / 11 - 12 pm AWST 

**Who the webinar is for:**

This webinar is for everyone interested in the implementation of clinical genomics into healthcare and the supporting digital infrastructure required.

**How to join:**

This webinar is free to join but you must register for a place in advance.

[https://www.biocommons.org.au/events/genomical](https://www.biocommons.org.au/events/genomical) 

**--------**

*This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter.*

# data[].attributes.learning-objectives
This webinar is for everyone interested in the implementation of clinical genomics into healthcare and the supporting digital infrastructure required.

# data[].attributes.description
This course covers advanced tools and skills in R.

# data[].attributes.title
CRISPR in action: practice and theory of genome engineering

# data[].attributes.description
CRISPR technology has revolutionized genome editing, making precise genetic modifications faster and more accessible than ever before. For researchers entering the field of molecular biology or genetics, understanding CRISPR is no longer optional; it's essential. This introductory course provides a solid foundation in both the theoretical principles and practical applications of CRISPR. Through interactive lectures and guided lab sessions, participants will learn how to design gRNAs, construct CRISPR vectors, perform genome editing, and analyze editing outcomes. By the end of the training, you will be equipped with the skills to plan and execute your own CRISPR-based experiments confidentially, bridging the gap between concept and practice. 

# data[].attributes.venue
Heverlee - Landbouwinstituut, Kasteelpark Arenberg 20

# data[].attributes.learning-objectives
 * “Construct CRISPR vectors using appropriate cloning strategies and component selection”
 * “Critique potential experimental pitfalls and propose improvements for CRISPR-based workflows”
 * “Design gRNAs applying principles of efficiency prediction and off-target risk assessment
 * “Learn about different approaches to analyze CRISPR experiments and get experience in analyzing experimental data with different bioinformatic tools”
 * “Optimize HDR donor templates for precise genome edits based on design criteria”
 * “Perform genome editing and genotyping analysis using Sanger sequencing and interpret editing efficacy”

# meta.available-facets.content-provider[].value
University of Cambridge Bioinformatics Training

# meta.available-facets.content-provider[].value
DTLS - Dutch Techcentre For Life Sciences

# meta.available-facets.keywords[].value
torsten schwede & thierry sengstag group

# meta.available-facets.venue[].value
Ghent - VIB/UGent FSVM II, Technologiepark 75

# meta.available-facets.venue[].value
Leuven - Campus Gasthuisberg, Herestraat 49

# meta.available-facets.venue[].value
Antwerp - Campus Drie Eiken UAntwerpen, Universiteitsplein 1

# meta.available-facets.venue[].value
Brussels - VUB Campus Etterbeek, Pleinlaan 2

# meta.available-facets.venue[].value
24 chemin de borderouge CS 52627 – Auzeville

# meta.available-facets.venue[].value
BMC Trippelrummet Husargatan 3, entrance C11

# meta.available-facets.venue[].value
Brussels - Learning & Innovation Center Brussels (LIC), Pleinlaan 2

# meta.available-facets.venue[].value
CSC Training Facilities, Keilaranta 14 / Online

# meta.available-facets.venue[].value
Heverlee - Landbouwinstituut, Kasteelpark Arenberg 20

# meta.available-facets.venue[].value
IIMCB - International Institute of Molecular and Cell Biology in Warsaw, Hankiewicza 2

# meta.available-facets.venue[].value
Leibniz Institute of Plant Genetics and Crop Plant Research, 3 Corrensstraße

# meta.available-facets.venue[].value
Leuven - Park Inn by Radisson, Martelarenlaan 36

# meta.available-facets.venue[].value
Leuven - Research Coordination Office KULeuven, Schapenstraat 34

# meta.available-facets.venue[].value
Life Science Center, CSC Training facilities, Keilanranta 14

# meta.available-facets.venue[].value
Linnérummet E10:1309, Entrance C11, Biomedical Centre (BMC) / SciLifeLab, Uppsala University Husargatan 3, 752 37 Uppsala

# meta.available-facets.venue[].value
Maastricht University, M4i Institute
Universiteitssingel 50, Floor 5, lecture room K5.467

# meta.available-facets.venue[].value
Norcroft Centre, University of Bradford,  Richmond Road

# meta.available-facets.venue[].value
Piazzale Aldo Moro, 5, 5 Piazzale Aldo Moro

# meta.available-facets.venue[].value
Salle de formation de l'IDRIS sur le campus de l'Université Paris-Saclay - Rue John Von Neumann, Bâtiment 506

# meta.available-facets.venue[].value
Trippelrummet, SciLifeLab Uppsala, Navet, Husargatan 3

# meta.available-facets.target-audience[].value
PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members

# meta.available-facets.target-audience[].value
PhD Students, Post-Doc research scientists

# meta.available-facets.target-audience[].value
Research Assistants and Research Associates

# meta.available-facets.collections[].value
ELIXIR Systems Biology Community: training events and materials

# meta.available-facets.collections[].value
HemaFAIR Training: Applying FAIR Principles in Hematology Research