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Sri Paladugu
Sri Paladugu
Verified email at roche.com
Title
Cited by
Cited by
Year
In silico evolution of functional modules in biochemical networks
SR Paladugu, V Chickarmane, A Deckard, JP Frumkin, M McCormack, ...
IEE Proceedings-Systems Biology 153 (4), 223-235, 2006
972006
Bifurcation discovery tool
V Chickarmane, SR Paladugu, F Bergmann, HM Sauro
Bioinformatics 21 (18), 3688-3690, 2005
732005
Mining protein networks for synthetic genetic interactions
SR Paladugu, S Zhao, A Ray, A Raval
Bmc Bioinformatics 9, 1-14, 2008
682008
Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis
M O’Huallachain, FA Bava, M Shen, C Dallett, S Paladugu, N Samusik, ...
Communications Biology 3 (1), 213, 2020
152020
Methods of identifying multiple epitopes in cells
US Patent App. 16/691,493, 2020
14*2020
Epitachophoresis is a novel versatile total nucleic acid extraction method
V Datinska, P Gheibi, K Jefferson, J Yang, S Paladugu, C Dallett, ...
Scientific Reports 11 (1), 22736, 2021
62021
Author Correction: Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis
M O’Huallachain, FA Bava, M Shen, C Dallett, S Paladugu, N Samusik, ...
Communications Biology 3, 2020
12020
High-throughput nucleic acid sequencing with single-molecule-sensor arrays
J Topolancik, P Braganca, Y Astier, S Paladugu
US Patent App. 17/996,360, 2024
2024
Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis.
GP Nolan, M O'Huallachain, M Shen, C Dallett, S Paladugu, S Yu, ...
2020
Method of single cell analysis of multiple samples
S Paladugu
US Patent App. 63/036,163, 2020
2020
High-Throughput DNA Sequencing with Single-Molecule Sensor-Arrays
S Paladugu
US Patent App. 63/1/013,236, 2020
2020
Identification of antigen epitopes and immune sequences recognizing the antigens
J Berka, S Paladugu
US Patent 20,190,178,886, 2019
2019
Highthroughput Single Cell Analysis of Proteins and RNA via Quantum Barcoding
M O'Huallachain, S Paladugu, S Ozturk, N Samusik, C Dallett, G Nolan
Tucson Symposium, 2018
2018
Predicting synthetic genetic interactions in yeast through machine-learning analysis of protein interaction data
S Paladugu, S Zhao, A Ray, A Raval
ICSB 2007, 2007
2007
Distributed Computing in Systems Biology using Systems Biology Workbench
F Bergmann, H Sauro, R Vallabhajosyula, S Paladugu
ICSB 2005, 2005
2005
Building Large Biological Dynamic Models of Shewanella Oneidensis from Incomplete Data
RR Vallabhajosyula, S Paladugu, K Maier, F Bergmann, HM Sauro
Metabolic Engineering 5, 164-176, 2003
2003
Doctoral Degrees Conferred
B Duncan, Y Gong, S McClanahan, M Noble, J Rogers, G Scible, ...
NOTICES OF THE AMS 60 (7), 0
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Articles 1–17