Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Saket Navlakha"'
Autor:
Yuval Emek, Saket Navlakha
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 29(4)
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 11 (2021)
PLoS Computational Biology, Vol 17, Iss 11, p e1009591 (2021)
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 11, p e1009591 (2021)
PLoS Computational Biology
Nervous systems extract and process information from the environment to alter animal behavior and physiology. Despite progress in understanding how different stimuli are represented by changes in neuronal activity, less is known about how they affect
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 10, p e1009523 (2021)
PLoS Computational Biology, Vol 17, Iss 10, p e1009523 (2021)
Creating a routing backbone is a fundamental problem in both biology and engineering. The routing backbone of the trail networks of arboreal turtle ants (Cephalotes goniodontus) connects many nests and food sources using trail pheromone deposited by
Autor:
Adam Conn, Saket Navlakha, Arjun Chandrasekhar, Martin van Rongen, Ottoline Leyser, Joanne Chory
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 9, p e1007325 (2019)
PLoS Computational Biology, Vol 15, Iss 9, p e1007325 (2019)
Understanding the optimization objectives that shape shoot architectures remains a critical problem in plant biology. Here, we performed 3D scanning of 152 Arabidopsis shoot architectures, including wildtype and 10 mutant strains, and we uncovered a
Publikováno v:
Journal of Computational Biology. 17:503-516
Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotations for some elements are known beforehand, which can aid the clustering process. We present a novel a
Publikováno v:
Journal of Computational Biology. 16:253-264
The division of a protein interaction network into biologically meaningful modules can aid with automated detection of protein complexes and prediction of biological processes and can uncover the global organization of the cell. We propose the use of
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 7, p e1004347 (2015)
PLoS Computational Biology
PLoS Computational Biology
Robust, efficient, and low-cost networks are advantageous in both biological and engineered systems. During neural network development in the brain, synapses are massively over-produced and then pruned-back over time. This strategy is not commonly us
Autor:
Saket Navlakha, Carl Kingsford
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 7, Iss 4, p e1001119 (2011)
PLoS Computational Biology, Vol 7, Iss 4, p e1001119 (2011)
What proteins interacted in a long-extinct ancestor of yeast? How have different members of a protein complex assembled together over time? Our ability to answer such questions has been limited by the unavailability of ancestral protein-protein inter
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 8, Iss 8, p e1002640 (2012)
PLoS Computational Biology, Vol 8, Iss 8, p e1002640 (2012)
Embedded within large-scale protein interaction networks are signaling pathways that encode response cascades in the cell. Unfortunately, even for well-studied species like S. cerevisiae, only a fraction of all true protein interactions are known, wh