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- ELIXIR Norway1
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Scientific topic
- RNA-Seq
- Bioinformatics6
- Biological sequences3
- Chromosome walking3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- High throughput sequencing3
- High-throughput sequencing3
- MicroRNA sequencing3
- NGS3
- NGS data analysis3
- Next gen sequencing3
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- Panels3
- Primer walking3
- RNA sequencing3
- RNA-Seq analysis3
- Sanger sequencing3
- Sequence analysis3
- Sequence databases3
- Sequences3
- Sequencing3
- Small RNA sequencing3
- Small RNA-Seq3
- Small-Seq3
- Targeted next-generation sequencing panels3
- Transcriptome profiling3
- WTSS3
- Whole transcriptome shotgun sequencing3
- miRNA-seq3
- Active learning2
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- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Metadata management2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Unsupervised learning2
- Bayesian methods1
- Biostatistics1
- Cell biology1
- Cells1
- Cellular processes1
- Data integration1
- Data integration and warehousing1
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- Descriptive statistics1
- Diffraction experiment1
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- Gaussian processes1
- Genome annotation1
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- Information science1
- Knowledge management1
- Markov processes1
- Microscopy1
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- Molecular neuroscience1
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- Neurobiology1
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- Optical super resolution microscopy1
- Personal genomics1
- Photonic force microscopy1
- Photonic microscopy1
- Pipelines1
- Population genomics1
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- Probability1
- Protein subcellular localization1
- Software integration1
- Statistics1
- Statistics and probability1
- Synthetic genomics1
- Systemetic neuroscience1
- Tool integration1
- Tool interoperability1
- Viral genomics1
- Whole genomes1
- Workflows1
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Event type
- Workshops and courses3
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Target audience
- post-docs
- Graduate students2
- Institutions and other external Institutions or individuals2
- PhD students2
- Postdocs and Staff members from the University of Cambridge2
- Anyone who wants to become a teacher / trainer or a better one1
- Beginners1
- PhD Students1
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Plant research1
- Wet-lab Researchers1
- bioinformaticians1
- biologists1
- teachers / trainers1
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