de.KCD summer school 2026
OverviewModern life sciences generate data at a scale and complexity that fundamentally depend on scalable computing infrastructures and rigorous research data management. From assembling individual genomes, exploring complex microbial communities to building graph-based pangenomes, researchers today face both unprecedented opportunities and significant methodological challenges, not only in analysis, but also in how data and workflows are stored, shared, and sustained.
Programme: de.KCD summer school 2026
SEEK ID: https://sandbox11.fairdomhub.org/projects/2
Public web page: https://events.hifis.net/event/3921/overview
Organisms: No Organisms specified
FAIRDOM PALs: No PALs for this Project
Project created: 28th Sep 2026
TagsRelated items
Projects: de.KCD summer school 2026
Institutions: Heidelberg Institute for Theoretical Studies
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Projects: de.KCD summer school 2026
Institutions: Heidelberg Institute for Theoretical Studies
Projects: de.KCD summer school 2026
Institutions: Heidelberg Institute for Theoretical Studies
Projects: de.KCD summer school 2026
Institutions: Heidelberg Institute for Theoretical Studies
Projects: de.KCD summer school 2026
Institutions: Heidelberg Institute for Theoretical Studies
ROR ID: https://ror.org/01f7bcy98
Department: Not specified
Country: 
Germany
City: Heidelberg
Web page: https://www.h-its.org
A happiness study on admins. Does swapping one cup of coffee a day for tea affect an admin's happiness? If there is an effect, how does it scale with the number of cups replaced? And do differences arise depending on the time of day the swap takes place?
Data on the physiological response of Antarctic cryptphytes to warming
Differential Expressoion KEGG, GO, pfam
A workshop on meta pangenomics
A workshop on meta pangenomics
Increasingly increase tea pots
Submitter: Nils 15
Investigation: Do admins become happier if they replace pots o...
Assays: No Assays
Submitter: Wolfgang Müller
Assay type: Metagenomics
Technology type: Technology Type
Investigation: 1 hidden item
Study: Wednesday: Metagenomics
Data from 8 different biogas plants operating under different conditions and fed differently collected and sequenced.
- Data in 1: 8 Samples (as described in samples_metadata.tsv)
- Data out 1: 8 sets of pairs of fastq files (forward & reverse), as described in run_metadata.tsv, located in wednesday→data
Submitter: Wolfgang Müller
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: 1 hidden item
Study: Wednesday: Metagenomics
Data from 8 different biogas plants operating under different conditions and fed differently collected and sequenced.
- Data in 1: 8 Samples (as described in samples_metadata.tsv)
- Data out 1: 8 sets of pairs of fastq files (forward & reverse), as described in run_metadata.tsv, located in wednesday→data
Submitter: Şurhan GÖL
Assay type: Metagenomics
Technology type: Technology Type
Investigation: 1 hidden item
Study: 1 hidden item
Data from 8 different biogas plants operating under different conditions and fed differently collected and sequenced.
- Data in 1: 8 Samples (as described in samples_metadata.tsv)
- Data out 1: 8 sets of pairs of fastq files (forward & reverse), as described in run_metadata.tsv, located in wednesday→data
Submitter: Wolfgang Müller
Assay type: Metagenomics
Technology type: Technology Type
Investigation: DEMO: Cloud Enabled (Meta/Pan)Genomics
DESeq2 edgeR log2FoldChange > 1 Padj < 0.05
Submitter: Michal Oskiera
Assay type: Transcriptional Profiling
Technology type: Rna-seq
Investigation: 1 hidden item
Study: 1 hidden item
Creator: Şurhan GÖL
Submitter: Şurhan GÖL
Creators: Wolfgang Müller, Sebastian Jünemann
Submitter: Wolfgang Müller
Abstract (Expand)
Authors: Bart Nijsse, Peter J Schaap, Jasper J Koehorst
Date Published: 28th Dec 2022
Publication Type: Journal Article
Abstract
Authors: Stephen F. Altschul, Warren Gish, Webb Miller, Eugene W. Myers, David J. Lipman
Date Published: 1st Oct 1990
Publication Type: Journal Article
Summer School 2026 (String) *
Not specified
The sample type of the submission.yml
Title (String) *, collection_date (Date time) , geographic location (country and/or sea) (String) , geographic location (region/locality) (String) , geographic location (latitude) (Real number) , geographic location (longitude) (Real number) , environmental sample (String) , reactor type (String) , reactor material (String) , total volume (String) ( L ) , working volume (String) ( L ) , temperature (String) ( °C ) , pH (String) , flow rate (String) , hydraulic retention time (String) , feedstock (String) , mixing method (String) , inoculum (String)
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