Next-generation sequencing technologies are currently well-established in the research field and progressively find their way towards clinical applications. Sequencers produce vast amounts of data and therefore bioinformatics methods are needed for processing. Without computational methods, sequencing would not be able to produce relevant biological information. In this review, we introduce the basics of common NGS-related bioinformatics methods used in oncological research. We also state some of the common problems complicating data processing and interpretation of the results.

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