Filter

• Sort

• • Earliest Latest Most recent Last modified Title descending Title ascending

• Filter Clear filters

• • Date added
  • In the last 24 hours
  • In the last 1 week
  • In the last 1 month
• • Start
  • -
• • Content provider
  • European Bioinformatics Institute (EBI)13
  • Show N_FILTERS more
• • Keyword
  • European Variation Archive5
  • Ensembl4
  • Cross domain (cross-domain)2
  • DNA & RNA (dna-rna)2
  • EVA2
  • European Nucleotide Archive2
  • NHGRI-EBI GWAS Catalog2
  • UniProt: The Universal Protein Resource2
  • API1
  • BioModels database1
  • Data analysis1
  • Data management1
  • Ensembl Variant Effect Predictor1
  • European Genome-phenome Archive1
  • European Mouse Mutation Archive1
  • Genetic variation1
  • Genome-Phenome1
  • Introduction to bioinformatics1
  • Introductory1
  • Modelling1
  • Programmatic access1
  • Protein Data Bank in Europe1
  • Protein structures1
  • Somatic Mutations1
  • Variant clusters1
  • Variant data1
  • Variant data annotation1
  • Show N_FILTERS more
• • Scientific topic
  • DNA variation5
  • Genetic variation5
  • Genomic variation5
  • Mutation5
  • Polymorphism5
  • Somatic mutations5
  • Bioinformatics3
  • Biological network analysis2
  • Biological network modelling2
  • Biological network prediction2
  • Data management2
  • Data visualisation2
  • Exomes2
  • Genetic variation analysis2
  • Genetic variation annotation2
  • Genome annotation2
  • Genomes2
  • Genomics2
  • Metadata management2
  • Network analysis2
  • Network comparison2
  • Network modelling2
  • Network prediction2
  • Network simulation2
  • Network topology simulation2
  • Personal genomics2
  • Research data management (RDM)2
  • Sequence variation analysis2
  • Synthetic genomics2
  • Transcript variant analysis2
  • Variant analysis2
  • Viral genomics2
  • Whole genomes2
  • Allele calling1
  • Biological modelling1
  • Biological system modelling1
  • Chromosome walking1
  • Clone verification1
  • DNA-Seq1
  • DNase-Seq1
  • Data rendering1
  • Exome variant detection1
  • Functional genomics1
  • Gene annotation format1
  • Gene features format1
  • Genome variant detection1
  • Germ line variant calling1
  • High throughput sequencing1
  • High-throughput sequencing1
  • Molecular visualisation1
  • Mutation detection1
  • NGS1
  • NGS data analysis1
  • Next gen sequencing1
  • Next generation sequencing1
  • Nucleic acid sequence alignment analysis1
  • Nucleic acid sequence analysis1
  • Panels1
  • Plotting1
  • Primer walking1
  • Protein SNP mapping1
  • Protein mutation modelling1
  • Protein stability change prediction1
  • Rendering1
  • Sanger sequencing1
  • Sequence alignment analysis (nucleic acid)1
  • Sequence analysis (nucleic acid)1
  • Sequencing1
  • Somatic variant calling1
  • Systems biology1
  • Systems modelling1
  • Targeted next-generation sequencing panels1
  • Variant calling1
  • Variant effect prediction1
  • Variant filtering1
  • Variant functional prediction1
  • Variant mapping1
  • Visualisation1
  • de novo mutation detection1
  • Show N_FILTERS more
• • Event type
  • Workshops and courses13
  • Show N_FILTERS more
• • Venue
  • European Bioinformatics Institute, Hinxton6
  • , 2
  • , Wellcome Genome Campus1
  • University of Costa Rica (UCR), Ciudad universitaria Rodrigo Facio Brenes1
  • Show N_FILTERS more
• • Country
  • United Kingdom7
  • Costa Rica1
  • Show N_FILTERS more
• • Target audience
  • Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course. Though programming skills are not a prerequisite for attending the course, we will ask participants to specify their current level of programming skills in the applications. This will allow the mentors to target the group projects better to the skills and needs of the final course participants.1
  • No prior experience of bioinformatics is required, but an interest in finding out more about genetic variation resources and an undergraduate level understanding of biology would be of benefit. Experience with command line usage would be very beneficial. This workshop will focus specifically on human genetic variation. Prerequisite We encourage the audience to go through our online course on human genetic variation prior to attending the workshop - www.ebi.ac.uk/training/online/course/human-genetic-variation-i-introduction-2019 .1
  • No prior experience of bioinformatics is required, but an interest in finding out more about genetic variation resources and an undergraduate level understanding of biology would be of benefit. Experience with command line usage would be very beneficial. This workshop will focus specifically on human genetic variation. We encourage the audience to go through our introductory online course on human genetic variation prior to attending the workshop.1
  • No prior experience of bioinformatics is required, but an interest in finding out more about variation resources and an undergraduate level understanding of biology would be of benefit. This workshop will focus specifically on human variation.1
  • The course is aimed at PhD students and post-doctoral researchers who are starting to use high-throughput sequencing technologies and bioinformatics methods in their research. The content is most applicable for those working with eukaryotic genomes, especially in the area of human genetics and rare-disease research. Participants will require a basic knowledge of the Unix command line and the Ubuntu 18 operating system. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Please note: participants without basic knowledge of these resources will have difficulty in completing the practical sessions.1
  • This course is aimed at PhD students and post-doctoral researchers who are using high-throughput sequencing technologies and bioinformatics methods in their research. The content is most applicable for those working with eukaryotic genomes, human genetics and in rare disease research. Participants will require a basic knowledge of the Unix command line, the Ubuntu 16 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Please note: participants without basic knowledge of these resources will have difficulty in completing the practical sessions.1
  • This course is aimed at PhD students and postdoctoral researchers needing to learn about methods and approaches for manipulating and analysing livestock genomic data. It will help those wanting to start basic identification of genetic variation, annotating function to genomic data, and using public data to interpret new findings. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.  1
  • This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.1
  • This course is aimed at wet-lab researchers within Latin America (excluding Chile and Uruguay due to funding restrictions) who are working with and/or generating their own crop genomic data or who are working on genotyping technologies, including data analysis software development.  Researchers who apply for CABANA courses should have projects in one or more of the CABANA challenge areas (sustainable crop production, communicable diseases, protection of biodiversity). Please note this course will be taught in English, however some trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage. Prerequisites: basic computational or previous bioinformatics experience is required for this workshop, such as basic commands in R. Undergraduate-level knowledge of plant biology would be an advantage. Please note: The course will use genomic data from crop plant species throughout the week. It will not explore in detail methods for assembling genomes.1
  • Show N_FILTERS more
• • Node
  • EMBL-EBI13
  • Show N_FILTERS more
• • Instructor
  • Baron Koylass
  • Janick Mathys143
  • Bruna Piereck72
  • Alexander Botzki68
  • Wandrille Duchemin57
  • True Colours48
  • Christof De Bo45
  • Matheus Lourenço42
  • Benjamin Pavie38
  • Elien Vandermarliere34
  • Lieve Ongena34
  • Geert van Geest33
  • Aleena Mushtaq29
  • Robin Engler29
  • René Custers23
  • Agnes Uhereczky21
  • Lucia Smit20
  • Amanda Gonçalves19
  • Benjamin Moore18
  • Gert Van Isterdael18
  • Joris De Wolf18
  • Niels Vandamme18
  • David Armstrong17
  • Liesbeth De Milde17
  • Michal Szpak17
  • Nancy George17
  • Robin Lefebvre17
  • Deepak Tanwar16
  • Birgit Meldal15
  • James Collier14
  • Kobe Lavaerts14
  • Sarah Morgan14
  • Tom Hancocks14
  • Wendi Bacon14
  • Alexandra Holinski13
  • Emily Perry13
  • Sebastian Munck13
  • Anna Swan12
  • Dayane Rodrigues Araujo12
  • Sam Holt12
  • Tania Wyss Lozano12
  • Tatiana Woller12
  • David Wishart11
  • Kalpana Panneerselvam11
  • Lee Larcombe11
  • Nicolas Vannieuwkerke11
  • Ricard Argelaguet11
  • Alex Bateman10
  • Alexandre Bonvin10
  • Barbara Baert10
  • Gustavo Ruiz Buendia10
  • Krishna Kumar Tiwari10
  • Lorna Richardson10
  • Malachi Griffith10
  • Niels Geudens10
  • Rossana Zaru10
  • Veronique Voisin10
  • An Staes9
  • Bob Asselbergh9
  • Frédéric Burdet9
  • Gary Bader9
  • Jolan Heyse9
  • Lennart Martens9
  • Lieven Clement9
  • Louisse Paola Mirabueno9
  • Mathieu Bourgey9
  • Obi Griffith9
  • Osman Salih9
  • Rahuman Sheriff9
  • Silvie Fexova9
  • Tallulah Andrews9
  • Thawfeek Mohamed Varusai9
  • Thuong Van Du Tran9
  • Typhaine Paysan-Lafosse9
  • Ajay Mishra8
  • Alexey Larionov8
  • Andrew Hercules8
  • Bart Mesuere8
  • Ben Verhoeven8
  • Cath Brooksbank8
  • Eliot Ragueneau8
  • Evelien Van Hamme8
  • Fabio Madeira8
  • Frank Vernaillen8
  • Geert Vermaerke8
  • Hema Bye-A-Jee8
  • Jared Simpson8
  • Jean-luc Doumont8
  • Koen Van den Eeckhout8
  • Nicolas Peredo8
  • Pavankumar Videm8
  • Rachel Marcone8
  • Tania Wyss8
  • Trevor Pugh8
  • Alyona Ivanova7
  • Arne Defauw7
  • Bart Ghesquière7
  • Emily Bowler-Barnett7
  • Engy Nasr7
  • Gerard Kleywegt7
  • Show N_FILTERS more
• Only show online events
• Show events from all spaces
• Hide past events
• Show disabled events
• Show events with broken links