| Year |
Citation |
Score |
| 2024 |
Aralar A, Goshia T, Ramchandar N, Lawrence SM, Karmakar A, Sharma A, Sinha M, Pride DT, Kuo P, Lecrone K, Chiu M, Mestan K, Sajti E, Vanderpool M, Lazar S, et al. Universal Digital High-Resolution Melt Analysis for the Diagnosis of Bacteremia. The Journal of Molecular Diagnostics : Jmd. PMID 38395408 DOI: 10.1016/j.jmoldx.2024.01.013 |
0.637 |
|
| 2023 |
Goshia T, Aralar A, Wiederhold N, Jenks JD, Mehta SR, Sinha M, Karmakar A, Sharma A, Shrivastava R, Sun H, White PL, Hoenigl M, Fraley SI. Universal Digital High Resolution Melt for the detection of pulmonary mold infections. Biorxiv : the Preprint Server For Biology. PMID 37986859 DOI: 10.1101/2023.11.09.566457 |
0.613 |
|
| 2023 |
Aralar A, Goshia T, Ramchandar N, Lawrence SM, Karmakar A, Sharma A, Sinha M, Pride DT, Kuo P, Lecrone K, Chiu M, Mestan K, Sajti E, Vanderpool M, Lazar S, et al. Universal digital high resolution melt analysis for the diagnosis of bacteremia. Medrxiv : the Preprint Server For Health Sciences. PMID 37732245 DOI: 10.1101/2023.09.07.23295215 |
0.638 |
|
| 2020 |
Langouche L, Aralar A, Sinha M, Lawrence SM, Fraley SI, Coleman TP. Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power. Bioinformatics (Oxford, England). PMID 33355665 DOI: 10.1093/bioinformatics/btaa1053 |
0.579 |
|
| 2020 |
Aralar A, Yuan Y, Chen K, Geng Y, Ortiz Velez D, Sinha M, Lawrence SM, Fraley SI. Improving Quantitative Power in Digital PCR Through Digital High Resolution Melting. Journal of Clinical Microbiology. PMID 32295887 DOI: 10.1128/Jcm.00325-20 |
0.598 |
|
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