Viruses utilize host cellular machinery to replicate. Particularly in the case of RNA viruses (polio, dengue, measles, Ebola, etc.), the ability of the virus to mutate and adapt to cellular mechanisms of defense leads to a very high mutation rate. The mutations that have become established have been selected within the environment of the host. Therefore, viral disease must be studied in the context of virus-host circuitry and viral quasi species (haplotypes).

CirSeq is a method that improves the sensitivity of next generation sequencing by reducing the error rate several fold. CirSeq data can be analyzed to reveal mutation fitness and individual mutation signatures within a population (quasi-species).

Library Prep

Circular resequencing (CirSeq) is a novel technique for efficient and highly accurate next-generation sequencing (NGS) of RNA virus populations.

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Data Analysis

Data Mining enables the investigation of complex phenomena through analysis of huge quantities of data.

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Integration of heterogeneous data types is important for a comprehensive understanding of viral adaptation.

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The SeqNav virology sequence navigator web app allows the user to view mutation frequency and fitness on several levels: nucleotide, amino acid residue, and location within the protein 3D structure.

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