Training materials
Difficulty level: Not specified
and Scientific topics: Metaproteomics
and Contributors: Health Data Science Sandbox
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Scientific topic
- Metaproteomics
- Chromosome walking3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- High throughput sequencing3
- High-throughput sequencing3
- NGS3
- NGS data analysis3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Primer walking3
- Sanger sequencing3
- Sequencing3
- Targeted next-generation sequencing panels3
- Comparative transcriptomics2
- Data management2
- FAIR data2
- Findable, accessible, interoperable, reusable data2
- Metadata management2
- MicroRNA sequencing2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Transcriptome2
- Transcriptome profiling2
- Transcriptomics2
- WTSS2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- Bottom-up proteomics1
- Discovery proteomics1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Peptide identification1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- Research data management (RDM)1
- Single-cell genomics1
- Single-cell sequencing1
- Targeted proteomics1
- Top-down proteomics1
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- Glittr.org1
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- Proteomics1
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Difficulty level
- Not specified
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Contributor
- Health Data Science Sandbox
- Computational Biology and Bioinformatics at UCLouvain2
- Instituto Gulbenkian de Ciência2
- The Gulbenkian Training Programme in Bioinformatics2
- Andrea Argentini1
- Björn Grüning1
- Frederik Coppens1
- Galaxy Project1
- Hana Pergl Sustkova1
- Marek Vrbacky1
- Martin Hubalek1
- Matthias Fahrner1
- Melanie Foell1
- Melanie Föll1
- Pavel Dvorak1
- PickyBinders1
- statOmics1
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