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Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental Models Open

Katy Williams, Alex Bigelow, Katherine E. Isaacs · 2023

Two people looking at the same dataset will create different mental models, prioritize different attributes, and connect with different visualizations. We seek to understand the space of data abstractions associated with mental models and …

Supplemental Figure from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

Supplemental Figure: Description of sample sets for the DNAseq and RNAseq experiments.

Supplemental Methods and Supplemental Table from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

Equations to calculate sample size in a homozygous discordant design. Supplemental Table: Sample size requirements (n in each group)

Supplemental Methods and Supplemental Table from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

Equations to calculate sample size in a homozygous discordant design. Supplemental Table: Sample size requirements (n in each group)

Data from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

The findings from genome-wide association studies hold enormous potential for novel insight into disease mechanisms. A major challenge in the field is to map these low-risk association signals to their underlying functional sequence varian…

Data from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

The findings from genome-wide association studies hold enormous potential for novel insight into disease mechanisms. A major challenge in the field is to map these low-risk association signals to their underlying functional sequence varian…

Supplemental Figure Legend from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

Supplemental Figure Legend

Supplemental Figure from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

Supplemental Figure: Description of sample sets for the DNAseq and RNAseq experiments.

Supplemental Figure Legend from Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2023

Supplemental Figure Legend

Traveler: Navigating Task Parallel Traces for Performance Analysis Open

Sayef Azad Sakin, Alex Bigelow, Rezaei Tohid, Connor Scully-Allison, Carlos Scheidegger , et al. · 2022

Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts where even minor performance tweaks can translate into larg…

Traveler: Navigating Task Parallel Traces for Performance Analysis Open

Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger , et al. · 2022

Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts where even minor performance tweaks can translate into larg…

Guidelines For Pursuing and Revealing Data Abstractions Open

Alex Bigelow, Katy Williams, Katherine E. Isaacs · 2020

Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about how people describe their data, either di…

Ten simple rules for organizing a data science workshop Open

Alise J. Ponsero, Ryan P. Bartelme, Gustavo de Oliveira Almeida, Alex Bigelow, Reetu Tuteja , et al. · 2020

VIS 2020 Short Paper Committees Open

Wenwen Dou, Charlotte Christopher, Collins Ontario, Fanny Chevalier, David Gotz , et al. · 2020

Guidelines For Pursuing Latent Data Abstractions Open

Alex Bigelow · 2020

InfoVis 2020 Submission, with supplemental archive of codes, themes, and their associated audit. For the archived survey results, see the parent project, or the interactive web version: https://alex-r-bigelow.github.io/wrangling-survey/Res…

Origraph: Interactive Network Wrangling Open

Alex Bigelow, Carolina Nobre, Miriah Meyer, Alexander Lex · 2019

Networks are a natural way of thinking about many datasets. The data on which a network is based, however, is rarely collected in a form that suits the analysis process, making it necessary to create and reshape networks. Data wrangling is…

Jacob's Ladder: The User Implications of Leveraging Graph Pivots Open

Alex Bigelow, Megan Monroe · 2019

This paper reports on a simple visual technique that boils extracting a subgraph down to two operations---pivots and filters---that is agnostic to both the data abstraction, and its visual complexity scales independent of the size of the g…

Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns Open

Katy Williams, Alex Bigelow, Katherine E. Isaacs · 2019

Common pitfalls in visualization projects include lack of data availability and the domain users' needs and focus changing too rapidly for the design process to complete. While it is often prudent to avoid such projects, we argue it can be…

The Intuitive Power of Graph Pivots For User Exploration and Adaptive Data Abstraction. Open

Alex Bigelow, Megan Monroe · 2018

Discordant Haplotype Sequencing Identifies Functional Variants at the 2q33 Breast Cancer Risk Locus Open

Nicola J. Camp, Wei‐Yu Lin, Alex Bigelow, George J. Burghel, Timothy L. Mosbruger , et al. · 2016

The findings from genome-wide association studies hold enormous potential for novel insight into disease mechanisms. A major challenge in the field is to map these low-risk association signals to their underlying functional sequence varian…

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