Training materials
Scientific topics: Protein fold recognition
and Difficulty level: Intermediate
and Resource type: hands-on tutorial
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Scientific topic
- Protein fold recognition
- Active learning2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Unsupervised learning2
- Biological sequences1
- Chromosome walking1
- Clone verification1
- Codon usage1
- Comparative transcriptomics1
- DNA chips1
- DNA microarrays1
- DNA structure prediction1
- DNA-Seq1
- DNase-Seq1
- Differential expression analysis1
- Differential gene analysis1
- Differential gene expression analysis1
- Differential gene expression profiling1
- Differentially expressed gene identification1
- Expression1
- Gene expression1
- Gene expression profiling1
- Gene transcription1
- Gene translation1
- High throughput sequencing1
- High-throughput sequencing1
- NGS1
- NGS data analysis1
- Next gen sequencing1
- Next generation sequencing1
- Nucleic acid design1
- Nucleic acid folding1
- Nucleic acid structure prediction1
- Panels1
- Primer walking1
- Protein structure1
- Protein structure analysis1
- Protein structure prediction1
- Protein tertiary structure1
- RNA structure prediction1
- Sanger sequencing1
- Sequence analysis1
- Sequence databases1
- Sequences1
- Sequencing1
- Structure prediction1
- Targeted next-generation sequencing panels1
- Transcription1
- Transcriptome1
- Transcriptomics1
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Content provider
- ELIXIR Brazil1
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Difficulty level
- Intermediate
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Target audience
- Life scientists with programming skills1
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Contributor
- Kenneth Hoste1
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Resource type
- hands-on tutorial
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