Fast and automatic processing of multi-level events in nanopore translocation experiments - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Nanoscale Année : 2012

Fast and automatic processing of multi-level events in nanopore translocation experiments

Résumé

We have developed a method to analyze in detail, translocation events providing a novel and flexible tool for data analysis of nanopore experiments. Our program, called OpenNanopore, is based on the cumulative sums algorithm (CUSUM algorithm). This algorithm is an abrupt change detection algorithm that provides fitting of current blockages, allowing the user to easily identify the different levels in each event. Our method detects events using adaptive thresholds that adapt to low-frequency variations in the baseline. After event identification, our method uses the CUSUM algorithm to fit the levels inside every event and automatically extracts their time and amplitude information. This facilitates the statistical analysis of an event population with a given number of levels. The obtained information improves the interpretation of interactions between the molecule and nanopore. Since our program does not require any prior information about the analyzed molecules, novel molecule-nanopore interactions can be characterized. In addition our program is very fast and stable. With the progress in fabrication and control of the translocation speed, in the near future, our program could be useful in identification of the different bases of DNA.
Fichier principal
Vignette du fichier
artNS1.pdf (800.18 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-00717284 , version 1 (22-08-2013)

Identifiants

Citer

Camille Raillon, Pierre Granjon, Michael Graf, Lorentz Steinbock, Aleksandra Radenovic. Fast and automatic processing of multi-level events in nanopore translocation experiments. Nanoscale, 2012, 14 (16), pp.4916-4924. ⟨10.1039/C2NR30951C⟩. ⟨hal-00717284⟩
434 Consultations
581 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More