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Nanopype: A modular and scalable nanopore data processing pipeline

MPG-Autoren
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Giesselmann,  Pay
Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Hetzel,  Sara
Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Müller,  Franz-Josef
Cellular Phenotyping (Franz-Josef Müller), Dept. of Genome Regulation, (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Meissner,  Alexander
Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Kretzmer,  Helene
Dept. of Genome Regulation (Head: Alexander Meissner), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Giesselmann.pdf
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btz461_supplementary_data.pdf
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Zitation

Giesselmann, P., Hetzel, S., Müller, F.-J., Meissner, A., & Kretzmer, H. (2019). Nanopype: A modular and scalable nanopore data processing pipeline. Bioinformatics, 2019: btz461. doi:10.1093/bioinformatics/btz461.


Zitierlink: https://hdl.handle.net/21.11116/0000-0004-A985-7
Zusammenfassung
Long-read third-generation nanopore sequencing enables researchers to now address a
range of questions that are difficult to tackle with short read approaches. The rapidly expanding
user base and continuously increasing throughput have sparked the development of a growing
number of specialized analysis tools. However, streamlined processing of nanopore datasets using
reproducible and transparent workflows is still lacking. Here we present Nanopype, a nanopore
data processing pipeline that integrates a diverse set of established bioinformatics software while
maintaining consistent and standardized output formats. Seamless integration into compute cluster
environments makes the framework suitable for high-throughput applications. As a result,
Nanopype facilitates comparability of nanopore data analysis workflows and thereby should enhance
the reproducibility of biological insights.