Author

Kyle Chard

Argonne National LaboratoryORCID 0000-0002-7370-4805Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 4

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 4 Approach:statistical model· 4 Research Focus:benchmarking· 3 Assay:DNA methylation· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Carl KesselmaniD· 4 shared Ian T FosteriD· 4 shared Ben HeavneriD· 3 shared Gustavo GlusmaniD· 3 shared Mike D’ArcyiD· 3 shared Nathan D. PriceiD· 3 shared Ravi MadduriiD· 3 shared Arthur W. TogaiD· 2 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Curved chords = mutual co-authorship

4 shared papersBioinformatics

Carl KesselmanORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Making Common Fund data more Findable: Catalyzing a Data Ecosystem

Amanda L. Charbonneau, Arthur Brady, Karl Czajkowski, Jain Aluvathingal, Saranya Canchi, Robert Carter, Kyle Chard, Daniel J. B. Clarke, Jonathan Crabtree, Heather H. Creasy, Mike D’Arcy, Victor Felix, Michelle Gwinn Giglio, Alicia A. Gingrich, Rayna M Harris, , Owen R. White

The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.

GigaScience · Jan 1, 2022Peer-reviewedBioinformatics

Atlas of Transcription Factor Binding Sites from ENCODE DNase Hypersensitivity Data Across 27 Tissue Types

Cory C. Funk, Alex M. Casella, Segun C. Jung, Matthew A. Richards, Alex Rodriguez, Paul T. Shannon, Rory Donovan-Maiye, Ben Heavner, Kyle Chard, Yukai Xiao, Gustavo Glusman, Nilüfer Ertekin‐Taner, Todd Eliot Golde, Arthur W. Toga, Leroy Hood, , Seth A. Ament

The paper develops a workflow to identify transcription factor binding sites across 27 human tissues using DNase-seq data, resulting in a comprehensive footprint atlas with high-quality predictions.

Cell Reports · Aug 1, 2020Peer-reviewedBioinformatics

Reproducible big data science: A case study in continuous FAIRness

Ravi Madduri, Kyle Chard, Mike D’Arcy, Segun C. Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric W. Deutsch, Cory C. Funk, Ben Heavner, Matthew A. Richards, Paul T. Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian T Foster

The paper presents tools for ensuring FAIRness in big biomedical data analysis through a case study on creating a transcription factor binding site atlas from ENCODE data.

PLoS ONE · Apr 11, 2019Peer-reviewedBioinformatics

BDQC: a general-purpose analytics tool for domain-blind validation of Big Data

Eric W. Deutsch, Roger Kramer, Joseph Ames, Andrew Bauman, David S Campbell, Kyle Chard, Kristi A. Clark, Mike D’Arcy, Ivo D. Dinov, Rory Donovan-Maiye, Ian T Foster, Ben Heavner, Leroy Hood, Carl Kesselman, Ravi Madduri, , Gustavo Glusman

BDQC identifies data outliers and anomalies in large-scale genomic pipelines without domain knowledge, improving data quality and enabling new insights.

bioRxiv · Feb 2, 2018 · PreprintBioinformatics