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phippery: a software suite for PhIP-Seq data analysis

SUMMARY: We present the phippery software suite for analyzing data from phage display methods that use immunoprecipitation and deep sequencing to capture antibody binding to peptides, often referred to as PhIP-Seq. It has three main components that can be used separately or in conjunction: (i) a Nex...

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Autores principales: Galloway, Jared G, Sung, Kevin, Minot, Samuel S, Garrett, Meghan E, Stoddard, Caitlin I, Willcox, Alexandra C, Yaffe, Zak A, Yucha, Ryan, Overbaugh, Julie, Matsen, Frederick A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547927/
https://www.ncbi.nlm.nih.gov/pubmed/37740324
http://dx.doi.org/10.1093/bioinformatics/btad583
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author Galloway, Jared G
Sung, Kevin
Minot, Samuel S
Garrett, Meghan E
Stoddard, Caitlin I
Willcox, Alexandra C
Yaffe, Zak A
Yucha, Ryan
Overbaugh, Julie
Matsen, Frederick A
author_facet Galloway, Jared G
Sung, Kevin
Minot, Samuel S
Garrett, Meghan E
Stoddard, Caitlin I
Willcox, Alexandra C
Yaffe, Zak A
Yucha, Ryan
Overbaugh, Julie
Matsen, Frederick A
author_sort Galloway, Jared G
collection PubMed
description SUMMARY: We present the phippery software suite for analyzing data from phage display methods that use immunoprecipitation and deep sequencing to capture antibody binding to peptides, often referred to as PhIP-Seq. It has three main components that can be used separately or in conjunction: (i) a Nextflow pipeline, phip-flow, to process raw sequencing data into a compact, multidimensional dataset format and allows for end-to-end automation of reproducible workflows. (ii) a Python API, phippery, which provides interfaces for tasks such as count normalization, enrichment calculation, multidimensional scaling, and more, and (iii) a Streamlit application, phip-viz, as an interactive interface for visualizing the data as a heatmap in a flexible manner. AVAILABILITY AND IMPLEMENTATION: All software packages are publicly available under the MIT License. The phip-flow pipeline: https://github.com/matsengrp/phip-flow. The phippery library: https://github.com/matsengrp/phippery. The phip-viz Streamlit application: https://github.com/matsengrp/phip-viz.
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spelling pubmed-105479272023-10-05 phippery: a software suite for PhIP-Seq data analysis Galloway, Jared G Sung, Kevin Minot, Samuel S Garrett, Meghan E Stoddard, Caitlin I Willcox, Alexandra C Yaffe, Zak A Yucha, Ryan Overbaugh, Julie Matsen, Frederick A Bioinformatics Applications Note SUMMARY: We present the phippery software suite for analyzing data from phage display methods that use immunoprecipitation and deep sequencing to capture antibody binding to peptides, often referred to as PhIP-Seq. It has three main components that can be used separately or in conjunction: (i) a Nextflow pipeline, phip-flow, to process raw sequencing data into a compact, multidimensional dataset format and allows for end-to-end automation of reproducible workflows. (ii) a Python API, phippery, which provides interfaces for tasks such as count normalization, enrichment calculation, multidimensional scaling, and more, and (iii) a Streamlit application, phip-viz, as an interactive interface for visualizing the data as a heatmap in a flexible manner. AVAILABILITY AND IMPLEMENTATION: All software packages are publicly available under the MIT License. The phip-flow pipeline: https://github.com/matsengrp/phip-flow. The phippery library: https://github.com/matsengrp/phippery. The phip-viz Streamlit application: https://github.com/matsengrp/phip-viz. Oxford University Press 2023-09-22 /pmc/articles/PMC10547927/ /pubmed/37740324 http://dx.doi.org/10.1093/bioinformatics/btad583 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Galloway, Jared G
Sung, Kevin
Minot, Samuel S
Garrett, Meghan E
Stoddard, Caitlin I
Willcox, Alexandra C
Yaffe, Zak A
Yucha, Ryan
Overbaugh, Julie
Matsen, Frederick A
phippery: a software suite for PhIP-Seq data analysis
title phippery: a software suite for PhIP-Seq data analysis
title_full phippery: a software suite for PhIP-Seq data analysis
title_fullStr phippery: a software suite for PhIP-Seq data analysis
title_full_unstemmed phippery: a software suite for PhIP-Seq data analysis
title_short phippery: a software suite for PhIP-Seq data analysis
title_sort phippery: a software suite for phip-seq data analysis
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547927/
https://www.ncbi.nlm.nih.gov/pubmed/37740324
http://dx.doi.org/10.1093/bioinformatics/btad583
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