Year |
Citation |
Score |
2019 |
Madduri R, Chard K, D'Arcy M, Jung SC, Rodriguez A, Sulakhe D, Deutsch E, Funk C, Heavner B, Richards M, Shannon P, Glusman G, Price N, Kesselman C, Foster I. Reproducible big data science: A case study in continuous FAIRness. Plos One. 14: e0213013. PMID 30973881 DOI: 10.1371/Journal.Pone.0213013 |
0.31 |
|
2017 |
Wang Z, Danziger SA, Heavner BD, Ma S, Smith JJ, Li S, Herricks T, Simeonidis E, Baliga NS, Aitchison JD, Price ND. Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast. Plos Computational Biology. 13: e1005489. PMID 28520713 DOI: 10.1371/Journal.Pcbi.1005489 |
0.605 |
|
2015 |
Heavner BD, Price ND. Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction. Plos Computational Biology. 11: e1004530. PMID 26566239 DOI: 10.1371/Journal.Pcbi.1004530 |
0.674 |
|
2015 |
Toga AW, Foster I, Kesselman C, Madduri R, Chard K, Deutsch EW, Price ND, Glusman G, Heavner BD, Dinov ID, Ames J, Van Horn J, Kramer R, Hood L. Big Biomedical data as the key resource for discovery science. Journal of the American Medical Informatics Association : Jamia. PMID 26198305 DOI: 10.1093/Jamia/Ocv077 |
0.337 |
|
2015 |
Heavner BD, Price ND. Transparency in metabolic network reconstruction enables scalable biological discovery. Current Opinion in Biotechnology. 34: 105-9. PMID 25562137 DOI: 10.1016/J.Copbio.2014.12.010 |
0.657 |
|
2015 |
Heavner BD, Price ND. Transparency in metabolic network reconstruction enables scalable biological discovery Current Opinion in Biotechnology. 34: 105-109. DOI: 10.1016/j.copbio.2014.12.010 |
0.571 |
|
2014 |
Richards MA, Cassen V, Heavner BD, Ajami NE, Herrmann A, Simeonidis E, Price ND. MediaDB: a database of microbial growth conditions in defined media. Plos One. 9: e103548. PMID 25098325 DOI: 10.1371/Journal.Pone.0103548 |
0.482 |
|
2013 |
Heavner BD, Smallbone K, Price ND, Walker LP. Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance Database. 2013. PMID 23935056 DOI: 10.1093/Database/Bat059 |
0.609 |
|
2012 |
Heavner BD, Smallbone K, Barker B, Mendes P, Walker LP. Yeast 5 - an expanded reconstruction of the Saccharomyces cerevisiae metabolic network. Bmc Systems Biology. 6: 55. PMID 22663945 DOI: 10.1186/1752-0509-6-55 |
0.618 |
|
2012 |
Heavner BD, Henry SA, Walker LP. Evaluating sphingolipid biochemistry in the consensus reconstruction of yeast metabolism Industrial Biotechnology. 8: 72-78. DOI: 10.1089/ind.2012.0002 |
0.573 |
|
Low-probability matches (unlikely to be authored by this person) |
2016 |
Allen M, Carrasquillo MM, Funk C, Heavner BD, Zou F, Younkin CS, Burgess JD, Chai HS, Crook J, Eddy JA, Li H, Logsdon B, Peters MA, Dang KK, Wang X, et al. Human whole genome genotype and transcriptome data for Alzheimer's and other neurodegenerative diseases. Scientific Data. 3: 160089. PMID 27727239 DOI: 10.1038/Sdata.2016.89 |
0.26 |
|
2016 |
Dinov ID, Heavner B, Tang M, Glusman G, Chard K, Darcy M, Madduri R, Pa J, Spino C, Kesselman C, Foster I, Deutsch EW, Price ND, Van Horn JD, Ames J, et al. Predictive Big Data Analytics: A Study of Parkinson's Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations. Plos One. 11: e0157077. PMID 27494614 DOI: 10.1371/Journal.Pone.0157077 |
0.177 |
|
2021 |
Sarnowski C, Chen H, Biggs ML, Wassertheil-Smoller S, Bressler J, Irvin MR, Ryan KA, Karasik D, Arnett DK, Cupples LA, Fardo DW, Gogarten SM, Heavner BD, Jain D, Kang HM, et al. 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. Plos One. 16: e0253611. PMID 34214102 DOI: 10.1371/journal.pone.0253611 |
0.144 |
|
2022 |
Young KL, Fisher V, Deng X, Brody JA, Graff M, Lim E, Lin BM, Xu H, Amin N, An P, Aslibekyan S, Fohner AE, Hidalgo B, Lenzini P, Kraaij R, ... ... Heavner BD, et al. Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants. Hgg Advances. 4: 100163. PMID 36568030 DOI: 10.1016/j.xhgg.2022.100163 |
0.14 |
|
2023 |
Zhang X, Brody JA, Graff M, Highland HM, Chami N, Xu H, Wang Z, Ferrier K, Chittoor G, Josyula NS, Li X, Li Z, Allison MA, Becker DM, Bielak LF, ... ... Heavner BD, et al. WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE. Medrxiv : the Preprint Server For Health Sciences. PMID 37662265 DOI: 10.1101/2023.08.21.23293271 |
0.137 |
|
2022 |
Taub MA, Conomos MP, Keener R, Iyer KR, Weinstock JS, Yanek LR, Lane J, Miller-Fleming TW, Brody JA, Raffield LM, McHugh CP, Jain D, Gogarten SM, Laurie CA, Keramati A, ... ... Heavner B, et al. Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed. Cell Genomics. 2. PMID 35530816 DOI: 10.1016/j.xgen.2021.100084 |
0.13 |
|
2021 |
Lin BM, Grinde KE, Brody JA, Breeze CE, Raffield LM, Mychaleckyj JC, Thornton TA, Perry JA, Baier LJ, de Las Fuentes L, Guo X, Heavner BD, Hanson RL, Hung YJ, Qian H, et al. Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. Ebiomedicine. 63: 103157. PMID 33418499 DOI: 10.1016/j.ebiom.2020.103157 |
0.11 |
|
2022 |
Kelly TN, Sun X, He KY, Brown MR, Taliun SAG, Hellwege JN, Irvin MR, Mi X, Brody JA, Franceschini N, Guo X, Hwang SJ, de Vries PS, Gao Y, Moscati A, ... ... Heavner BD, et al. Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension. Hypertension (Dallas, Tex. : 1979). 101161HYPERTENSIONAH. PMID 35652341 DOI: 10.1161/HYPERTENSIONAHA.122.19324 |
0.099 |
|
Hide low-probability matches. |