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Julie Overbaugh

dblp:370/5042 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 81% Computational science and engineering · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
immunoinformatics
0.712023
phippery: a software suite for PhIP-Seq data analysis · Bioinform. 2023
Computational science and engineering › computational reproducibility
reproducible workflow
0.212023
phippery: a software suite for PhIP-Seq data analysis · Bioinform. 2023
Bioinformatics and computational biology › sequence analysis
sequencing data processing
0.212023
phippery: a software suite for PhIP-Seq data analysis · Bioinform. 2023

Methods — techniques the papers use, named apart from their topics

streamlit · 0.7nextflow · 0.7Python API · 0.7
YearPublicationVenuePosition
2023 phippery: a software suite for PhIP-Seq data analysis
abstract
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.
Jared G. Galloway, Kevin Sung, Samuel Schwartz Minot, Meghan E. Garrett, Caitlin I Stoddard, Alexandra C. Willcox, Zak A. Yaffe, Ryan Yucha, Julie Overbaugh, Frederick A. Matsen IV
Bioinform.9