TIDDIT, an efficient and comprehensive structural variant caller for massive parallel sequencing data.
Jesper EisfeldtFrancesco VezziPáll Ísólfur ÓlasonDaniel NilssonAnna LindstrandPublished in: F1000Research (2017)
Keyphrases
- data sets
- data analysis
- training data
- data collection
- input data
- statistical analysis
- synthetic data
- massive amounts of data
- raw data
- data points
- image data
- data quality
- complex data
- noisy data
- original data
- sensor data
- massive data
- high dimensional data
- database
- massive scale
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- small number
- knowledge discovery
- high quality
- data structure
- end users
- prior knowledge
- neural network
- real world
- massive data sets
- learning algorithm
- data sources
- structural information
- data distribution
- experimental data
- probability distribution
- dimensionality reduction
- computer systems