Influence of neighboring small sequence variants on functional impact prediction

Baasner J-S, Howard D, Pucker B (2019)
bioRxiv.

Preprint | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
Once a suitable reference sequence is generated, genomic differences within a species are often assessed by re-sequencing. Variant calling processes can reveal all differences between two strains, accessions, genotypes, or individuals. These variants can be enriched with predictions about their functional implications based on available structural annotations. Although these predictions on a per variant basis are often accurate, some challenging cases require the simultaneous incorporation of multiple adjacent variants into this prediction process. Examples are neighboring variants which modify each others' functional impact. Neighborhood-Aware Variant Impact Predictor (NAVIP) considers all variants within a given protein coding sequence when predicting the functional consequences. NAVIP is freely available on github: https://github.com/bpucker/NAVIP.
Erscheinungsjahr
2019
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bioRxiv
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https://pub.uni-bielefeld.de/record/2934778

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Baasner J-S, Howard D, Pucker B. Influence of neighboring small sequence variants on functional impact prediction. bioRxiv. 2019.
Baasner, J. - S., Howard, D., & Pucker, B. (2019). Influence of neighboring small sequence variants on functional impact prediction. bioRxiv
Baasner, J. - S., Howard, D., and Pucker, B. (2019). Influence of neighboring small sequence variants on functional impact prediction. bioRxiv.
Baasner, J.-S., Howard, D., & Pucker, B., 2019. Influence of neighboring small sequence variants on functional impact prediction. bioRxiv.
J.-S. Baasner, D. Howard, and B. Pucker, “Influence of neighboring small sequence variants on functional impact prediction”, bioRxiv, 2019.
Baasner, J.-S., Howard, D., Pucker, B.: Influence of neighboring small sequence variants on functional impact prediction. bioRxiv. (2019).
Baasner, Jan-Simon, Howard, Dakota, and Pucker, Boas. “Influence of neighboring small sequence variants on functional impact prediction”. bioRxiv (2019).
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