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Showing 30 materials
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Working Remotely
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Working Remotely
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Video
RDMbites | Bioimage metadata – REMBI
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Video
RDMbites | Bioimage metadata – REMBI: image correlation
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Video
RDMbites | Bioimage metadata – REMBI: study component
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Video
RDMbites | Bioimage metadata – REMBI: study
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Video
RDMbite | Bioimage metadata – REMBI: specimen
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Video
RDMbites | Bioimage metadata – REMBI: biosample
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Video
RDMbites | Bioimage metadata – REMBI: analysed data
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Video
RDMbites | Bioimage metadata – REMBI: image data
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Video
RDMbites | Bioimage metadata - REMBI: image acquisition
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hands-on tutorial
Hands-on for 'Sentinel 2 biodiversity' tutorial
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slides
Slides for 'Running Jobs on Remote Resources with Pulsar' tutorial
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hands-on tutorial
Hands-on for 'Running Jobs on Remote Resources with Pulsar' tutorial
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hands-on tutorial
Hands-on for 'Removing the effects of the cell cycle' tutorial
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hands-on tutorial
Hands-on for 'Removal of human reads from SARS-CoV-2 sequencing data' tutorial
•• intermediateSequence analysis, sequence-analysis, covid19 -
slides
Slides for 'Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads' tutorial
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hands-on tutorial
Hands-on for 'Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads' tutorial
•• intermediateSequence assembly, assembly, covid19 -
slides
Slides for 'Contributing with GitHub via command-line' tutorial
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hands-on tutorial
Hands-on for 'Contributing with GitHub via command-line' tutorial
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Recorded webinar
Accessing variant data at the European Variation Archive
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Tutorial
Contributing to the Galaxy Training Material - Contributing with GitHub via command-line
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Video
BBSRC: Data and Data Visualisation
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The IFB cloud for bioinformatics
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Flow Cytometry 2013 Module 3 - Preprocessing and Quality Assurance of FCM Data
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Cloud Genomics: Instructor NotesCloud Genomics Pre-WorkshopDuring the workshop
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Summarising sets of phylogenies
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Searching data using Python
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Flow Cytometry 2013 Module 1 - Introduction to Flow Cytometry Analysis in R
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hands-on tutorial
Hands-on for 'CLIP-Seq data analysis from pre-processing to motif detection' tutorial
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