Amazon Technologies, Inc.

Washington University

Microsoft Technology Licensing, LLC

Brian R White

Peter D Cohen

Peter N De Santis

Mikhail Garber

Lee A Atchison

Karl Andre McCabe

Abraham Snyder

Joseph P Culver

Robert Kennedy

Brian Joseph Callan

Daniel Auclair

Bradley L Schlaggar

Robert Fulton

Aliaksei Baturytski

Jason L Prickett

Marcus E Raichle

Michael H Tomasson

Michael D Fox

Irena Lanc

Justin L Vincent

A sequencing capture array for identifying mutations in Multiple Myeloma is disclosed. Also disclosed are targeted next generation sequencing methods for identifying SNV, CNV, and translocation mutations in Multiple Myeloma tumor cells. A capture array representing fewer than 500 genes implicated in Multiple Myeloma can be used to analyze tumor mutations and create a personalized treatment plan for a Multiple Myeloma patient. Analytical methods are presented that allow tumor mutations to be elucidated with coverage at a sequencing depth of no more than 500&#xd7;, or as low as 100&#xd7;, with optimal efficiency achieved at a sequencing depth of about 300&#xd7;.

Automated exposition of known and novel multiple myeloma genomic variants using a single sequencing platform

A method for utilizing an optical system for mapping brain function includes determining a time series of light intensity measurements for spatially distributed source and detector pairs, receiving light measurements over a period of time, and producing at least one map of a respective strength of each of a plurality of temporal correlations, wherein the temporal correlations are based on the time series of the spatially distributed source and detector pairs and the light measurements.

Task-less optical mapping of dynamic brain function using resting state functional connectivity

Embodiments of systems and methods are described for dynamically managing requests for computing capacity from a provider of computing resources. Illustratively, the computing resources may include program execution capabilities, data storage or management capabilities, network bandwidth, etc. The systems or methods automatically allocate computing resources for execution of one or more programs associated with the user. The systems and methods may enable the user to make changes to the allocated resources after execution of the one or more programs has started.

Methods and systems for dynamically managing requests for computing capacity

A policy-driven automatic network remediation service is described, which resides on the network and is triggered when a network fault is detected. Once triggered, the service automatically connects to network devices in the topological locale of the detected fault and collects diagnostic information from the affected area, running diagnostics which are appropriate to the fault type. The service can validate a set of preconditions prior to taking remedial action. For example, the service can empirically validate that the network topology is actually as expected and that automatic remediation would be safe and would not compromise network availability or redundancy. Diagnostic information can be recorded in a trouble ticket to support post-event auditing. Once the preconditions have been validated, the service can automatically take corrective action based on the type of the fault, such as shutting down an interface on a particular network device.

Policy-driven automatic network fault remediation

Methods and apparatus are provided for encoding a work item type definition. In one embodiment, a method is provided for encoding the work item type definition as a data object, such as an XML document. The work item type definition may include a specification of workflow associated with the work item type, and//or a specification of the display of the work item type by a graphical user interface, such as that which may be provided by a workflow management application.

Methods and apparatus for encoding a work item type definition

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Clayton, MO, United States of America

Brian R White