Benjamin D. Heavner

发表

Big biomedical data as the key resource for discovery science

Arthur W. Toga, Ian T. Foster, Carl Kesselman, 2015, J. Am. Medical Informatics Assoc..

Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance

Nathan D. Price, Kieran Smallbone, Benjamin D. Heavner, 2013, Database J. Biol. Databases Curation.

Reproducible big data science: A case study in continuous FAIRness

Ian T. Foster, Carl Kesselman, Ravi K. Madduri, 2018, bioRxiv.

Yeast 5 – an expanded reconstruction of the Saccharomyces cerevisiae metabolic network

Pedro Mendes, Kieran Smallbone, Benjamin D. Heavner, 2012, BMC Systems Biology.

Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction

Nathan D. Price, Benjamin D. Heavner, N. Price, 2015, PLoS Comput. Biol..

I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets

Arthur W. Toga, Carole A. Goble, Ian T. Foster, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Evaluating And Improving Stoichiometrically Constrained Models Of Yeast Metabolism For Application To Design Of Metabolic Engineering Strategies

Benjamin D. Heavner, 2012 .

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

Arthur W. Toga, Anushya Muruganujan, Carl Kesselman, 2018, bioRxiv.

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

Andrew D. Johnson, Benjamin D. Heavner, May E. Montasser, 2020, medRxiv.

Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases

James A. Eddy, Benjamin A. Logsdon, Benjamin D. Heavner, 2016, Scientific Data.

WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE

Benjamin D. Heavner, Nancy L. Heard Costa, Nicholette D. Palmer, 2023, medRxiv.

Whole Genome Association Study of the Plasma Metabolome Identifies Metabolites Linked to Cardiometabolic Disease in Black Individuals

Andrew D. Johnson, Benjamin D. Heavner, Michael E. Hall, 2022, Nature Communications.

Genome sequencing unveils a regulatory landscape of platelet reactivity

Benjamin D. Heavner, May E. Montasser, Nicholette D. Palmer, 2019, Nature Communications.

Variant-specific inflation factors for assessing population stratification at the phenotypic variance level

Andrew D. Johnson, Benjamin D. Heavner, May E. Montasser, 2021, Nature Communications.

Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

Ivana V. Yang, Zhaohui S. Qin, Andrew D. Johnson, 2018, Nature Communications.

Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research

Benjamin D. Heavner, Rebecca R. Boyles, A. Philippakis, 2023, J. Am. Medical Informatics Assoc..

A Model of Minor Histocompatibility Antigens in Allogeneic Hematopoietic Cell Transplantation

Benjamin D. Heavner, B. Storer, D. Geraghty, 2021, Frontiers in Immunology.

Clonal haematopoiesis and risk of chronic liver disease

Andrew D. Johnson, Benjamin D. Heavner, May E. Montasser, 2023, Nature.

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

Ivana V. Yang, Sebastian M. Armasu, Andrew D. Johnson, 2020, Nature.

Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

Ming Tang, Ian Foster, Arthur W. Toga, 2016, PloS one.

A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies

Benjamin D. Heavner, May E. Montasser, Nicholette D. Palmer, 2022, Nature Methods.

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

Arthur W. Toga, Alex Rodriguez, Carl Kesselman, 2018, bioRxiv.

Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium.

Benjamin D. Heavner, Kelsey E. Grinde, A. Reiner, 2021, EBioMedicine.

Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension

Benjamin D. Heavner, May E. Montasser, M. Fornage, 2022, Hypertension.

Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed

Ivana V. Yang, Benjamin D. Heavner, Nicholette D. Palmer, 2022, Cell genomics.

Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program

Benjamin D. Heavner, J. Bressler, D. Kiel, 2021, PloS one.

Reproducible big data science: A case study in continuous FAIRness

Arthur W. Toga, Kyle Chard, Ian Foster, 2018, bioRxiv.

FORTE Compact Intra-cloud Discharge Detection parameterized by Peak Current

Benjamin D. Heavner, A. Jacobson, D. Suszcynsky, 2002 .

Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast

Benjamin D. Heavner, N. Baliga, N. Price, 2016, bioRxiv.

Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma

Andrew D. Johnson, Benjamin D. Heavner, May E. Montasser, 2023, EBioMedicine.