Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Maneesha Aluru"'
Autor:
Huaxun Ye, Sanzhen Liu, Buyun Tang, Jiani Chen, Zhouli Xie, Trevor M. Nolan, Hao Jiang, Hongqing Guo, Hung-Ying Lin, Lei Li, Yanqun Wang, Hongning Tong, Mingcai Zhang, Chengcai Chu, Zhaohu Li, Maneesha Aluru, Srinivas Aluru, Patrick S. Schnable, Yanhai Yin
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)
Brassinosteroid (BR) signalling regulates plant development via the BES1/BZR1 family of transcription factors. Here the authors show that BES1 activity can be modified by the drought-responsive RD26 transcription factor providing a molecular basis fo
Externí odkaz:
https://doaj.org/article/b15887c35469449bbf48efc52b011298
MotivationGene regulatory network (GRN) reconstruction from gene expression profiles is a compute- and data-intensive problem. Numerous methods based on diverse approaches including mutual information, random forests, Bayesian networks, correlation m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::991793f9bee85f895c9d6ecb97f35271
https://doi.org/10.1101/2022.07.19.500603
https://doi.org/10.1101/2022.07.19.500603
Publikováno v:
SC
Module networks (MoNets) are a parameter-sharing specialization of Bayesian networks that are used for reasoning about multi-dimensional entities with concerted interactions between groups of variables. Construction of MoNets is compute-intensive, wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29dcb89a15d4ef74db8572cb1c2e82bc
https://doi.org/10.1145/3458817.3476207
https://doi.org/10.1145/3458817.3476207
Publikováno v:
Bioinformatics (Oxford, England).
Motivation Reconstruction of genome-scale networks from gene expression data is an actively studied problem. A wide range of methods that differ between the types of interactions they uncover with varying trade-offs between sensitivity and specificit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a35c3ae972eb91a61816a4ade3a73f99
https://pubmed.ncbi.nlm.nih.gov/34888624
https://pubmed.ncbi.nlm.nih.gov/34888624
Publikováno v:
BCB
Motivation: Reverse engineering gene networks from expression data is a widelymstudied problem, for which numerous mathematical models have been developed. Network reconstruction methods can be used to study specific pathways, or can be applied at th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8c8aa0da2968bae3f9a7e7f74c3ab9
https://doi.org/10.1145/3107411.3107428
https://doi.org/10.1145/3107411.3107428
Publikováno v:
Aging (Albany NY)
Using a systems-based approach, we have identified several genes not previously evaluated for a role(s) in chronological aging. Here, we have thoroughly investigated the chronological lifespan (CLS) of three of these genes (FUS3, KSS1 and HOG1) and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a21cc8daedbaaefecb3b35db3de829
https://pubmed.ncbi.nlm.nih.gov/29273704
https://pubmed.ncbi.nlm.nih.gov/29273704
Publikováno v:
NEMS
We report on the development of an enhanced and robust microfluidic plant chip-based growth and monitoring system for high-throughput phenotyping of Arabidopsis thaliana. The system consists of multiple vertical plant chips, a microfluidic hormone co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be433a035baaf2f11eeb3e4b301abe26
https://doi.org/10.1109/nems.2017.8017129
https://doi.org/10.1109/nems.2017.8017129
Autor:
Yanhai Yin, Sanzhen Liu, Lei Li, Zhaohu Li, Mingcai Zhang, Maneesha Aluru, Zhouli Xie, Yanqun Wang, Trevor M. Nolan, Hongning Tong, Srinivas Aluru, Hongqing Guo, Hao Jiang, Hung-ying Lin, Huaxun Ye, Jiani Chen, Buyun Tang, Chengcai Chu, Patrick S. Schnable
Publikováno v:
Nature Communications
Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)
Nature Communications, Vol 8, Iss 1, Pp 1-13 (2017)
Brassinosteroids (BRs) regulate plant growth and stress responses via the BES1/BZR1 family of transcription factors, which regulate the expression of thousands of downstream genes. BRs are involved in the response to drought, however the mechanistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4328e0d601e78a657f518221fe01984b
https://doi.org/10.1038/ncomms14573
https://doi.org/10.1038/ncomms14573
Publikováno v:
Lab Chip. 14:1281-1293
We report on the development of a vertical and transparent microfluidic chip for high-throughput phenotyping of Arabidopsis thaliana plants. Multiple Arabidopsis seeds can be germinated and grown hydroponically over more than two weeks in the chip, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::181b137f70196ea94a1c48442e093d13
https://doi.org/10.1039/c3lc51326b
https://doi.org/10.1039/c3lc51326b
Publikováno v:
Sensors and Actuators A: Physical. 298:111572
We report on the development of a miniature greenhouse for large-scale phenotyping of Arabidopsis thaliana plants. This greenhouse is capable of flexibly creating and varying a set of environmental conditions including temperature and light intensity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa125f10872ad583e4e3f7f6e017e58d
https://doi.org/10.1016/j.sna.2019.111572
https://doi.org/10.1016/j.sna.2019.111572