Year |
Citation |
Score |
2022 |
Poudel S, Hefner Y, Szubin R, Sastry A, Gao Y, Nizet V, Palsson BO. Coordination of CcpA and CodY Regulators in Staphylococcus aureus USA300 Strains. Msystems. e0048022. PMID 36321827 DOI: 10.1128/msystems.00480-22 |
0.793 |
|
2022 |
Yuan Y, Seif Y, Rychel K, Yoo R, Chauhan S, Poudel S, Al-Bulushi T, Palsson BO, Sastry AV. Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures. Msystems. e0046722. PMID 36317888 DOI: 10.1128/msystems.00467-22 |
0.814 |
|
2022 |
Kavvas ES, Long CP, Sastry A, Poudel S, Antoniewicz MR, Ding Y, Mohamed ET, Szubin R, Monk JM, Feist AM, Palsson BO. Experimental Evolution Reveals Unifying Systems-Level Adaptations but Diversity in Driving Genotypes. Msystems. e0016522. PMID 36226969 DOI: 10.1128/msystems.00165-22 |
0.789 |
|
2022 |
Fait A, Seif Y, Mikkelsen K, Poudel S, Wells JM, Palsson BO, Ingmer H. Adaptive laboratory evolution and independent component analysis disentangle complex vancomycin adaptation trajectories. Proceedings of the National Academy of Sciences of the United States of America. 119: e2118262119. PMID 35858453 DOI: 10.1073/pnas.2118262119 |
0.785 |
|
2022 |
Xavier JB, Monk JM, Poudel S, Norsigian CJ, Sastry AV, Liao C, Bento J, Suchard MA, Arrieta-Ortiz ML, Peterson EJR, Baliga NS, Stoeger T, Ruffin F, Richardson RAK, Gao CA, et al. Mathematical models to study the biology of pathogens and the infectious diseases they cause. Iscience. 25: 104079. PMID 35359802 DOI: 10.1016/j.isci.2022.104079 |
0.752 |
|
2022 |
Yoo R, Rychel K, Poudel S, Al-Bulushi T, Yuan Y, Chauhan S, Lamoureux C, Palsson BO, Sastry A. Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection. Msphere. e0003322. PMID 35306876 DOI: 10.1128/msphere.00033-22 |
0.765 |
|
2021 |
McConn JL, Lamoureux CR, Poudel S, Palsson BO, Sastry AV. Optimal dimensionality selection for independent component analysis of transcriptomic data. Bmc Bioinformatics. 22: 584. PMID 34879815 DOI: 10.1186/s12859-021-04497-7 |
0.724 |
|
2021 |
Chauhan SM, Poudel S, Rychel K, Lamoureux C, Yoo R, Al Bulushi T, Yuan Y, Palsson BO, Sastry AV. Machine Learning Uncovers a Data-Driven Transcriptional Regulatory Network for the Crenarchaeal Thermoacidophile . Frontiers in Microbiology. 12: 753521. PMID 34777307 DOI: 10.3389/fmicb.2021.753521 |
0.75 |
|
2021 |
Choe D, Szubin R, Poudel S, Sastry A, Song Y, Lee Y, Cho S, Palsson B, Cho BK. RiboRid: A low cost, advanced, and ultra-efficient method to remove ribosomal RNA for bacterial transcriptomics. Plos Genetics. 17: e1009821. PMID 34570751 DOI: 10.1371/journal.pgen.1009821 |
0.701 |
|
2021 |
Sastry AV, Dillon N, Anand A, Poudel S, Hefner Y, Xu S, Szubin R, Feist AM, Nizet V, Palsson B. Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility. Msphere. 6: e0044321. PMID 34431696 DOI: 10.1128/mSphere.00443-21 |
0.777 |
|
2021 |
Sastry AV, Hu A, Heckmann D, Poudel S, Kavvas E, Palsson BO. Independent component analysis recovers consistent regulatory signals from disparate datasets. Plos Computational Biology. 17: e1008647. PMID 33529205 DOI: 10.1371/journal.pcbi.1008647 |
0.791 |
|
2021 |
Rajput A, Seif Y, Choudhary KS, Dalldorf C, Poudel S, Monk JM, Palsson BO. Pangenome Analytics Reveal Two-Component Systems as Conserved Targets in ESKAPEE Pathogens. Msystems. 6. PMID 33500331 DOI: 10.1128/mSystems.00981-20 |
0.804 |
|
2021 |
Rajput A, Poudel S, Tsunemoto H, Meehan M, Szubin R, Olson CA, Seif Y, Lamsa A, Dillon N, Vrbanac A, Sugie J, Dahesh S, Monk JM, Dorrestein PC, Knight R, et al. Identifying the effect of vancomycin on health care-associated methicillin-resistant Staphylococcus aureus strains using bacteriological and physiological media. Gigascience. 10. PMID 33420779 DOI: 10.1093/gigascience/giaa156 |
0.756 |
|
2020 |
Rychel K, Decker K, Sastry AV, Phaneuf PV, Poudel S, Palsson BO. iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning. Nucleic Acids Research. PMID 33045728 DOI: 10.1093/nar/gkaa810 |
0.798 |
|
2020 |
Poudel S, Tsunemoto H, Seif Y, Sastry AV, Szubin R, Xu S, Machado H, Olson CA, Anand A, Pogliano J, Nizet V, Palsson BO. Revealing 29 sets of independently modulated genes in , their regulators, and role in key physiological response. Proceedings of the National Academy of Sciences of the United States of America. PMID 32616573 DOI: 10.1073/Pnas.2008413117 |
0.76 |
|
2019 |
Rajput A, Poudel S, Tsunemoto H, Meehan M, Szubin R, Olson CA, Lamsa A, Seif Y, Dillon N, Vrbanac A, Sugie J, Dahesh S, Monk JM, Dorrestein PC, Knight R, et al. Profiling the effect of nafcillin on HA-MRSA D712 using bacteriological and physiological media. Scientific Data. 6: 322. PMID 31848353 DOI: 10.1038/S41597-019-0331-Z |
0.776 |
|
2019 |
Anand A, Chen K, Yang L, Sastry AV, Olson CA, Poudel S, Seif Y, Hefner Y, Phaneuf PV, Xu S, Szubin R, Feist AM, Palsson BO. Adaptive evolution reveals a tradeoff between growth rate and oxidative stress during naphthoquinone-based aerobic respiration. Proceedings of the National Academy of Sciences of the United States of America. PMID 31767748 DOI: 10.1073/Pnas.1909987116 |
0.733 |
|
2019 |
Gao NJ, Al-Bassam MM, Poudel S, Wozniak JM, Gonzalez DJ, Olson J, Zengler K, Nizet V, Valderrama JA. Functional and Proteomic Analysis of Virulence Upon Loss of Its Native Cas9 Nuclease. Frontiers in Microbiology. 10: 1967. PMID 31507572 DOI: 10.3389/Fmicb.2019.01967 |
0.768 |
|
2019 |
Poudel S, Tsunemoto H, Meehan M, Szubin R, Olson CA, Lamsa A, Seif Y, Dillon N, Vrbanac A, Sugie J, Dahesh S, Monk JM, Dorrestein PC, Pogliano J, Knight R, et al. Characterization of CA-MRSA TCH1516 exposed to nafcillin in bacteriological and physiological media. Scientific Data. 6: 43. PMID 31028276 DOI: 10.1038/S41597-019-0051-4 |
0.767 |
|
2019 |
Seif Y, Monk JM, Mih N, Tsunemoto H, Poudel S, Zuniga C, Broddrick J, Zengler K, Palsson BO. A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types. Plos Computational Biology. 15: e1006644. PMID 30625152 DOI: 10.1371/Journal.Pcbi.1006644 |
0.764 |
|
2018 |
Kavvas ES, Seif Y, Yurkovich JT, Norsigian C, Poudel S, Greenwald WW, Ghatak S, Palsson BO, Monk JM. Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditions. Bmc Systems Biology. 12: 25. PMID 29499714 DOI: 10.1186/S12918-018-0557-Y |
0.735 |
|
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