Filters

• Sort

• • Most recent Last modified Title descending Title ascending

• Filter Clear filters

• • Scientific topic
  • Algorithms3
  • Computer programming3
  • Data structures3
  • Programming languages3
  • Software development3
  • Software engineering3
  • Bayesian methods1
  • Bioimaging1
  • Biological imaging1
  • Biostatistics1
  • Descriptive statistics1
  • Diffraction experiment1
  • Gaussian processes1
  • Imaging1
  • Inferential statistics1
  • Markov processes1
  • Microscopy1
  • Microscopy imaging1
  • Multivariate statistics1
  • Optical super resolution microscopy1
  • Photonic force microscopy1
  • Photonic microscopy1
  • Probabilistic graphical model1
  • Probability1
  • Statistics1
  • Statistics and probability1
  • Show N_FILTERS more
• • Content provider
  • Bioinformatics and Biomathematics Training Hub
  • Show N_FILTERS more
• • Keyword
  • Roslin Institute12
  • JIC5
  • John Innes Centre5
  • Graphical modelling2
  • Computational modelling1
  • Data analysis1
  • Experimental design1
  • Gene expression analysis1
  • Mixed models1
  • Python for Biologists1
  • R language1
  • Repeated measures1
  • SAS1
  • Sample size1
  • Statistical modelling1
  • Statistical tests1
  • Summarising data1
  • perl1
  • Show N_FILTERS more
• • Difficulty level
  • Beginner
  • Not specified3
  • Advanced2
  • Show N_FILTERS more
• • Licence
  • Other (Not Open)
  • Other (Non-Commercial)8
  • License Not Specified2
  • GNU General Public License v2.0 only1
  • Other (Open)1
  • Show N_FILTERS more
• • Target audience
  • Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.1
  • Any students, postdocs or RAs who have an interest in bioinformatics and who intend to conduct their own analyses on a Linux platform. Those intending to register for the upcoming Introduction to HPC course are very strongly encouraged to attend this short (two morning) course and it should be seen as a prerequisite for later courses to be offered on ChIP-Seq analysis and command line/Galaxy implementations of NGS workflows.1
  • Any students, postdocs or RAs who have an interest in programming and who intend to carry out computational analysis of their experimental data. Perl is often used for preparing input files for more specialized software such as R, and also to post-process the output from R and various other bioinformatics tools. It is a glue language allowing you to build pipelines of analyses of arbitrary complexity. This two day course is planned to be a gentle introduction to the basic concepts of Perl and will also introduce you to the BioPerl library of modules.1
  • For beginners interested in using Python to solve problems in Biology.1
  • Those interesting in exploring the data contained in their microscopy images, or those planning microscopy as part of their research programme1
  • Show N_FILTERS more
• • Author
  • Helen Brown8
  • Tom Freeman3
  • Matthew Hartley2
  • The John Innes Centre2
  • Govind Chandra1
  • Ian Handel1
  • Tjelvar Olsson1
  • Show N_FILTERS more
• • Node
  • United Kingdom17
  • Show N_FILTERS more
• Show archived materials
• • Date added
  • In the last 24 hours
  • In the last 1 week
  • In the last 1 month