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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10547927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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