NANOPORE_TRANSLOCATIONS: Nanopore Translocation (Pulse) Detector: Nanopore Translocations for translocations count and feature extraction

Dario Dematties; Chenyu Wen; Mauricio Pérez; Dian Zhou; Shi Li Zhang

doi:10.5281/zenodo.5031816

NANOPORE_TRANSLOCATIONS: Nanopore Translocation (Pulse) Detector: Nanopore Translocations for translocations count and feature extraction

Dario Dematties, Chenyu Wen, Mauricio Pérez, Dian Zhou, Shi Li Zhang

Biophysics

Research output: Non-textual form › Software

Abstract

The software released here can be used for training, validating and testing different ResNet architectures for counting translocation events and extracting statistical features from nanopore translocation signals (i.e. average translocation duration and amplitude in traces temporal chunks). The models are used in a supervised learning fashion and can be tested on experimental traces obtained in the lab.

Original language	English
Publisher	Zenodo
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.5031816
Publication status	Published - 25 Jun 2021

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10.5281/zenodo.5031816Licence: MIT

A Generalized Transformer-Based Pulse Detection Algorithm
Dematties, D., Wen, C. & Zhang, S. L., 30 Aug 2022, In: ACS Sensors. 7, 9, p. 2710-2720
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
9 Link opens in a new tab Citations (Scopus)

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title = "NANOPORE\_TRANSLOCATIONS: Nanopore Translocation (Pulse) Detector: Nanopore Translocations for translocations count and feature extraction",

abstract = "The software released here can be used for training, validating and testing different ResNet architectures for counting translocation events and extracting statistical features from nanopore translocation signals (i.e. average translocation duration and amplitude in traces temporal chunks). The models are used in a supervised learning fashion and can be tested on experimental traces obtained in the lab.",

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AU - Pérez, Mauricio

AU - Zhou, Dian

AU - Zhang, Shi Li

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AB - The software released here can be used for training, validating and testing different ResNet architectures for counting translocation events and extracting statistical features from nanopore translocation signals (i.e. average translocation duration and amplitude in traces temporal chunks). The models are used in a supervised learning fashion and can be tested on experimental traces obtained in the lab.

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NANOPORE_TRANSLOCATIONS: Nanopore Translocation (Pulse) Detector: Nanopore Translocations for translocations count and feature extraction

Abstract

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Research output

A Generalized Transformer-Based Pulse Detection Algorithm

Cite this