A method of inhibiting the translation of bacterial mRNA is disclosed. The method comprises overexpressing in a bacterium an mRNA which contains a sequence which is complementary to the anti-downstream box region of the 16S rRNA. RNA and DNA constructs for the overexpression of the mRNA of the invention are disclosed. Further, there are disclosed isolated DNA constructs that direct the prolonged expression of a heterologous gene in a cold-shocked bacterium at reduced temperature. The construct can comprise a promoter region of a cold-shocked inducible gene. The replication vehicle comprising such DNA constructs and a method for overexpressing a heterologous gene in a bacterium transformed with such a replication vehicle are also disclosed.
Adaptive Network Traffic Compression Mechanism Including Dynamic Selection Of Compression Algorithms
Li Fang - San Jose CA, US Mary Louise Laier - Cupertino CA, US
Assignee:
Packeteer, Inc. - Cupertino CA
International Classification:
H04J 3/18
US Classification:
370477, 370521, 375240, 709247
Abstract:
An adaptive compression mechanism that dynamically selects compression algorithms applied to network application traffic to improve performance. One implementation includes an arbitration scheme that reduces the impact on computing resources required to analyze different compression algorithms for different network applications. The adaptive compression functionality of the present invention can be integrated into network application traffic management or acceleration systems.
Cold-Shock Regulatory Elements, Constructs Thereof, And Method Of Use
Li Fang - New York NY, US Weining Jiang - New York NY, US Masanori Mitta - Kyoto, JP Masayori Inouye - Piscataway NJ, US Jean-Pierre Etchegaray - Highland Park NJ, US Kunitoshi Yamanaka - Highland Park NJ, US
Assignee:
University of Medicine and Dentistry of New Jersey - New Brunswick NJ
International Classification:
C07H 21/04
US Classification:
536 241, 536 231, 536 237, 536 243, 536 2432
Abstract:
Regulatory elements of the 5′UTR of cold-shock inducible genes that prolong the expression of cold-shock inducible genes under conditions that elicit the cold-shock response in a bacterium, repress the expression of the cold-shock inducible genes under physiological conditions, or enhance the translation of cold-shock inducible genes under conditions that elicit a cold-shock response in bacteria; vectors incorporating these elements; and methods for expressing proteins.
Method And System For Dynamically Capturing Flow Traffic Data
Sanjeev K. Mishra - Santa Clara CA, US Farzad Ghannadian - San Jose CA, US Li Fang - San Jose CA, US
Assignee:
Packeteer, Inc. - Cupertino CA
International Classification:
H04L 12/26
US Classification:
3702301, 370392, 37039531, 37039532
Abstract:
An exemplary embodiment provides for a method for recording network traffic data that can be used in a network device operably disposed in a network, wherein the network device comprises a measurement data structure including at least one entry and a corresponding measurement key and wherein the at least one entry comprises at least one measurement attribute. The method includes receiving a packet and matching the packet to a data flow. A measurement policy for the data flow is identified, wherein the measurement policy comprises one or more measurement axes corresponding to respective data flow attributes, and a rule set relating to at least one of the one or more measurement axes. The rule set is applied to dynamically select one or more of the measurement axes in the measurement policy to be applied to the data flow. A measurement key is created based on the selected one or more measurement axes and attributes of the data flow corresponding to the selected one or more measurement axes. The measurement key is matched to an entry in a measurement data structure.
Adaptive, Flow-Based Network Traffic Measurement And Monitoring System
Farzad Ghannadian - San Jose CA, US Li Fang - San Jose CA, US Michael J. Quinn - Campbell CA, US
Assignee:
Packeteer, Inc. - Cupertino CA
International Classification:
H04L 12/28
US Classification:
370232, 370412, 370432, 370236, 370392
Abstract:
Methods, apparatuses and systems directed to an adaptive network traffic monitoring and measurement system. In one implementation, the present invention provides a measurement engine that monitors data flows on the packet processing path of a network device and executes measurement policy that control the granularity with which measurement data is recorded. In one implementation, the present invention provides a filtering and aggregation mechanism that can seamlessly adapt to changes in measurement policy configuration.
Adaptive, Application-Aware Selection Of Differntiated Network Services
Guy Riddle - Los Gatos CA, US Li Fang - San Jose CA, US Michael Robert Morford - Saratoga CA, US
Assignee:
Packeteer, Inc. - Cupertino CA
International Classification:
G01R 31/08 H04L 12/28 G06F 15/173
US Classification:
370252, 37039542, 709224
Abstract:
Methods, apparatuses and systems that dynamically adjust the selection of differentiated network services for selected classes of traffic or network applications in response to changing network conditions or application performance levels.
Method To Determine Whether A Compound Is A Cellular Gstpi Inhibitor
- Pleasanton CA, US Aparna CHHIBBER - San Mateo CA, US Marghoob MOHIYUDDIN - Foster City CA, US Li Tai FANG - San Francisco CA, US Hugo Y.K. LAM - Sunnyvale CA, US
Assignee:
Roche Sequencing Solutions, Inc. - Pleasanton CA
International Classification:
C12Q 1/6886 G16B 20/20
Abstract:
Described herein are methods, systems, and apparatuses for detecting significantly mutated genes/pathways in a cancer cohort. A driver gene detection technique taking into account the heterogeneous mutational context in a cancer cohort is disclosed. A statistical model of a gene-specific mutation rate distribution (e.g., using an optimized gene specific mean estimation and/or a gene-specific dispersion estimation) is used to model a sample/gene-specific background mutation rate. The statistical model may then be used to detect gene/pathway enrichment and distinguish tumor suppressors and oncogenes based on the spatial distribution of non-silent mutations, loss-of-function mutations, and/or gain-of-function mutations.