Training materials
Authors: The Gulbenkian Training Programme in Bioinformatics
and Contributors: The Gulbenkian Training Programme in Bioinformatics
and Scientific topics: Quantitative proteomics
2 materials found
- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Quantitative proteomics
- Bayesian methods4
- Biostatistics4
- Descriptive statistics4
- Gaussian processes4
- Inferential statistics4
- Markov processes4
- Multivariate statistics4
- Probabilistic graphical model4
- Probability4
- Statistics4
- Statistics and probability4
- Bottom-up proteomics2
- Comparative transcriptomics2
- Discovery proteomics2
- Exomes2
- Genome annotation2
- Genomes2
- Genomics2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Metaproteomics2
- MicroRNA sequencing2
- Peptide identification2
- Personal genomics2
- Protein and peptide identification2
- Proteomics2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Synthetic genomics2
- Targeted proteomics2
- Top-down proteomics2
- Transcriptome2
- Transcriptome profiling2
- Transcriptomics2
- Viral genomics2
- WTSS2
- Whole genomes2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- Chromosome walking1
- Clone verification1
- Comparative genomics1
- DNA-Seq1
- DNase-Seq1
- High throughput sequencing1
- High-throughput sequencing1
- NGS1
- NGS data analysis1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Primer walking1
- Python1
- Python program1
- Python script1
- Sanger sequencing1
- Sequencing1
- Targeted next-generation sequencing panels1
- py1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org2
- Show N_FILTERS more
-
-
-
Keyword
- Proteomics2
- Python1
- R1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified2
- Show N_FILTERS more
-
- Show archived materials
