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Content provider
- European Bioinformatics Institute (EBI)7
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Scientific topic
- Bioinformatics49
- Genome annotation34
- Exomes30
- Genomes30
- Genomics30
- Personal genomics30
- Synthetic genomics30
- Viral genomics30
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- Protein function analysis28
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- Protein bioinformatics26
- Protein databases26
- Protein informatics26
- Proteins26
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- Reinforcement learning26
- Supervised learning26
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- Biomathematics23
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- Theoretical biology23
- Biological modelling22
- Biological system modelling22
- Protein structure22
- Systems biology22
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- RNA-Seq analysis21
- Comparative transcriptomics20
- Function analysis20
- Functional analysis20
- Protein structures20
- Transcriptome20
- Transcriptomics20
- Molecular diagnostics18
- Personalised medicine18
- Precision medicine18
- Data archival16
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- Data curation16
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- Data management16
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- Metabolic network modelling16
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- Metabolic pathway modelling16
- Metabolic pathway reconstruction16
- Metabolic pathway simulation16
- Metabolic reconstruction16
- Metadata management16
- Research data archiving16
- Research data management (RDM)16
- Structural assignment16
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- Structural determination16
- Structure determination16
- Amino acid sequence15
- Amino acid sequences15
- Bioimaging15
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- Cellular process pathways15
- Disease pathways15
- Environmental information processing pathways15
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- Interactions15
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- Molecular interactions15
- Molecular interactions, pathways and networks15
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- Protein sequence15
- Protein sequences15
- Shotgun metagenomics15
- Signal transduction pathways15
- Signaling pathways15
- Antimicrobial stewardship14
- Chromosome walking14
- Clone verification14
- Community analysis14
- DNA-Seq14
- DNase-Seq14
- Data visualisation14
- Environmental microbiology14
- High throughput sequencing14
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Event type
- Workshops and courses7
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Country
- United Kingdom4
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Target audience
- This course is targeted at biologists who want to explore, and gain further insight, into their own data through the use of visualisation and design approaches. Some prior experience in programming would be beneficial, but pre-reading and exercises will be sent out to all successful applicants prior to the start of the course. Example datasets will be provided which include: gene-gene interaction data gene-disorder links phylogeny of transcription factors ChIP-Seq and RNA-Seq1
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists / bioinformaticians who wish to gain a better understanding of the biological challenges when working with integrated datasets. No programming or command line experience is required to attend this course. Please note this course does not cover statistical approaches for data integration. For advanced-level training in using large-scale multiomics data and machine learning to infer biological models you may wish to consider our course on Systems Biology: From large datasets to biological insight.1
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Instructor
- Lee Larcombe2
- Adam Frost1
- Alex Bateman1
- Amanda M. Saravia-Butler1
- Andrew Jarnuczak1
- Anna Swan1
- Asier Gonzalez1
- Aybuke Kupcu Yoldas1
- Baron Koylass1
- Claire O’Donovan1
- Danila Bredhkin1
- David Fazekas1
- Dayane Rodrigues Araujo1
- Francesco Iorio1
- Girolamo Giudice1
- Hanna Najgebauer1
- Hedi Peterson1
- James Tolchard1
- Jan Aerts1
- Krishna Kumar Tiwari1
- Loïc Lannelongue1
- Marcus Bage1
- Masa Roller1
- Michaela Spitzer1
- Nikiforos Karamanis1
- Nils Eling1
- Pablo Porras Millan1
- Preeti Choudhary1
- Priit Adler1
- Rachel Lyne1
- Rahuman Sheriff Malik Sheriff1
- Ricard Argelaguet1
- Ryo Sakai1
- Sandra Orchard1
- Tamas Korcsmáros1
- Teresa Zulueta-Coarasa1
- Yasset Perez Riverol1
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