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Scientific topic
- miRNA-seq
- Bioinformatics2
- Codon usage2
- DNA chips2
- DNA microarrays2
- Expression2
- Gene expression2
- Gene expression profiling2
- Gene transcription2
- Gene translation2
- MicroRNA sequencing2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Transcription2
- Transcriptome profiling2
- WTSS2
- Whole transcriptome shotgun sequencing2
- Active learning1
- Alternative splicing1
- Biomathematics1
- Chromosome walking1
- Clone verification1
- Cloud computing1
- Comparative transcriptomics1
- Computational biology1
- Computer science1
- DNA-Seq1
- DNase-Seq1
- Drug design1
- Ensembl learning1
- HPC1
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- High-performance computing1
- High-throughput sequencing1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Mathematical biology1
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- NGS1
- NGS data analysis1
- Neural networks1
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- Panels1
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- Protein interaction map1
- Protein interaction networks1
- Protein interactions1
- Protein interactome1
- Protein-DNA interaction1
- Protein-DNA interactions1
- Protein-RNA interaction1
- Protein-RNA interactions1
- Protein-ligand interactions1
- Protein-nucleic acid interactions1
- Protein-protein interactions1
- RNA splicing1
- Recommender system1
- Reinforcement learning1
- Sanger sequencing1
- Sequencing1
- Splice sites1
- Supervised learning1
- Targeted next-generation sequencing panels1
- Theoretical biology1
- Transcriptome1
- Transcriptomics1
- Unsupervised learning1
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Event type
- Workshops and courses2
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Country
- Italy2
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Organizer
- Allegra Via, Giulio Pavesi, Federico Zambelli, Matteo Chiara1
- Anna Marabotti (University of Salerno and ELIXIR-IIB Training Team, Italy), Roberto Tagliaferri (University of Salerno, Italy), Alessandro Weisz (University of Salerno, Italy), Loredana Le Pera (ELIXIR-IIB Training Team and IIT, Italy), Allegra Via (ELIXIR-IIB Training Coordinator, CNR-IBPM, Italy) 1
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Target audience
- 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
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