- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- University of Cambridge Bioinformatics Training1
- Show N_FILTERS more
-
-
-
Keyword
- HDRUK1
- Show N_FILTERS more
-
-
-
Scientific topic
- Bottom-up proteomics
- Bioinformatics16
- Data rendering12
- Data visualisation12
- Data mining8
- Pattern recognition8
- Comparative transcriptomics5
- Functional genomics5
- Transcriptome5
- Transcriptomics5
- Phylogenetics3
- AMR2
- Aerobiology2
- Antibiotic resistance (ABR)2
- Antifungal resistance2
- Antimicrobial resistance2
- Antiprotozoal resistance2
- Antiviral resistance2
- Behavioural biology2
- Biological rhythms2
- Biological science2
- Biology2
- Chromosome walking2
- Chronobiology2
- Clone verification2
- Cryobiology2
- DNA-Seq2
- DNase-Seq2
- Extensive drug resistance (XDR)2
- High throughput sequencing2
- High-throughput sequencing2
- Multidrug resistance2
- Multiple drug resistance (MDR)2
- Multiresistance2
- NGS2
- NGS data analysis2
- Next gen sequencing2
- Next generation sequencing2
- Pandrug resistance (PDR)2
- Panels2
- Primer walking2
- Python2
- Python program2
- Python script2
- Reproductive biology2
- Sanger sequencing2
- Sequencing2
- Targeted next-generation sequencing panels2
- Total drug resistance (TDR)2
- py2
- Coding RNA1
- Discovery proteomics1
- EST1
- Exons1
- Fusion genes1
- Fusion transcripts1
- Gene features1
- Gene structure1
- Gene transcript features1
- Gene transcripts1
- Introns1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Metaproteomics1
- Peptide identification1
- PolyA signal1
- PolyA site1
- Protein and peptide identification1
- Protein structure1
- Protein structure analysis1
- Protein tertiary structure1
- Proteomics1
- Quantitative proteomics1
- Signal peptide coding sequence1
- Targeted proteomics1
- Top-down proteomics1
- Transit peptide coding sequence1
- cDNA1
- mRNA1
- mRNA features1
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses1
- Show N_FILTERS more
-
-
-
Country
- United Kingdom1
- Show N_FILTERS more
-
-
-
Target audience
- Familiarity with mass spectrometry or proteomics in general is desirable1
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data.1
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.1
- Show N_FILTERS more
-
- Only show online events
- Show past events
- Show disabled events