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Keywords: Genome 

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Difficulty level: Not specified 

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Contributors: Prof. Tom Freeman  or Michael Krone  or Dr. Simon Andrews 


SeqMonk: Using visualisation to identify errors and biases in genome scale sequencing data

The increasing scale and complexity of genome scale studies has led to more widespread use of unsupervised analysis pipelines and reduced inspection and sanity checking of the underlying data.  Here we will illustrate how the use of interactive visualisation tools along with an explorative...

Keywords: Genome

Resource type: Video

SeqMonk: Using visualisation to identify errors and biases in genome scale sequencing data https://tess.elixir-europe.org/materials/seqmonk-using-visualisation-to-identify-errors-and-biases-in-genome-scale-sequencing-data The increasing scale and complexity of genome scale studies has led to more widespread use of unsupervised analysis pipelines and reduced inspection and sanity checking of the underlying data.  Here we will illustrate how the use of interactive visualisation tools along with an explorative approach to analysis can identify problems which would otherwise go undetected by standard pipelines. Created at: 3rd BiVi Annual Meeting (2017). Dr. Simon Andrews Genome 2017-05-15