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Content provider
- European Bioinformatics Institute (EBI)2
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Scientific topic
- Metagenomics
- Chromosome walking3
- Clone verification3
- DNA-Seq3
- DNase-Seq3
- Exomes3
- Genome annotation3
- Genomes3
- Genomics3
- High throughput sequencing3
- High-throughput sequencing3
- NGS3
- NGS data analysis3
- Next gen sequencing3
- Next generation sequencing3
- Panels3
- Personal genomics3
- Primer walking3
- Sanger sequencing3
- Sequencing3
- Synthetic genomics3
- Targeted next-generation sequencing panels3
- Viral genomics3
- Whole genomes3
- Biological sequences2
- Functional genomics2
- Sequence analysis2
- Sequence databases2
- Shotgun metagenomics2
- nucleotide2
- Codon usage1
- Comparative transcriptomics1
- DNA chips1
- DNA microarrays1
- Data archival1
- Data archiving1
- Data curation1
- Data curation and archival1
- Data management1
- Data preservation1
- Database curation1
- Database hits (sequence)1
- Expression1
- Function analysis1
- Functional analysis1
- Gene annotation format1
- Gene expression1
- Gene expression profiling1
- Gene features format1
- Gene functional annotation1
- Gene transcription1
- Gene translation1
- Metadata management1
- Metagenomic sequencing1
- Nucleic acid sequence alignment analysis1
- Nucleic acid sequence analysis1
- Protein function analysis1
- Protein function prediction1
- Research data archiving1
- Research data management (RDM)1
- Sequence alignment analysis (nucleic acid)1
- Sequence alignment metadata1
- Sequence alignment report1
- Sequence analysis (nucleic acid)1
- Sequence database hits1
- Sequence database search results1
- Sequence functional annotation1
- Sequence search hits1
- Sequence search results1
- Shotgun metagenomic sequencing1
- Transcription1
- Transcriptome1
- Transcriptomics1
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Event type
- Workshops and courses2
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Target audience
- This course is aimed at life scientists who are working in the field of metagenomics, in the early stages of their data analysis, and who may already have some prior experience in using bioinformatics in their research. Prerequisites Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
- This course is intended for PhD students of Portuguese and international institutions (with a particular focus on students of the CIBIO-InBIO’s BIODIV, SUSFOR Doctoral Programs and University of Porto), but more experienced researchers that are initiating projects in the field of environmental metagenomics can also participate. Prerequisite knowledge No previous bioinformatics experience is required, but an undergraduate level understanding of biology would be an advantage.1
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Instructor
- Sam Holt
- Lorna Richardson5
- Chris Quince4
- Engy Nasr4
- Josephine Burgin4
- Paul Zierep4
- Wolfgang Maier4
- Alex Mitchell3
- Amirhossein Naghsh Nilchi3
- Pavankumar Videm3
- Sebastien Raguideau3
- Teresa Müller3
- Varsha Kale3
- Alexandre Almeida2
- Ben Allen2
- Diana Chiang Jurado2
- Georg Zeller2
- Jakob Wirbel2
- Juan Caballero Perez2
- Martin Beracochea2
- Rob Finn2
- Tatiana Gurbich2
- Adrian Turjanski1
- Alejandro Reyes1
- Alexander Rogers1
- Amanda Warr1
- Anika Erxleben1
- Benjamin Moore1
- Björn Grüning1
- Darren Wilkinson1
- Federico Vignale1
- Grisel Alejandra Escobar Zepeda1
- Guillermo Rangel1
- Jennifer Lu1
- Jonathan Zaiat1
- Leonardo Erijman1
- Maira Ihsan1
- Marcelo Marti1
- Mina Hojat Ansari1
- Richard Leggett1
- Sandy Alexander Rogers1
- Santino Faack1
- Silvie Fexova1
- Tom Hancocks1
- Ugis Sarkans1
- Valeria Faggioli1
- Vladimir Benes1
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