Abstract: Systems and methods for communicating, storing, and/or analyzing data that may include genomic data are described herein. In various embodiments, unaligned genomic sequence read data and/or portions thereof may be stored and/or communicated as a list of variants relative to a particular reference associated with a reference motif identified in the genomic sequence read data. In further embodiments, quality score information associated with a genomic dataset may be analyzed and and/or communicated as quality score parameter information. Additional embodiments may facilitate relatively efficient analysis of unaligned genomic sequence read data using metadata associated with reference motifs identified in the unaligned genomic sequence read data.

Abstract: Systems and methods for communicating, storing, and/or analyzing data that may include genomic data are described herein. In various embodiments, unaligned genomic sequence read data and/or portions thereof may be stored and/or communicated as a list of variants relative to a particular reference associated with a reference motif identified in the genomic sequence read data. In further embodiments, quality score information associated with a genomic dataset may be analyzed and/or communicated as quality score parameter information. Additional embodiments may facilitate relatively efficient analysis of unaligned genomic sequence read data using metadata associated with reference motifs identified in the unaligned genomic sequence read data.

Abstract: Methods and apparatus for a secure framework for storing and analyzing genomic data. Embodiments of the present invention apply persistent governance to sensitive information and to the analytics that operate upon it, managing the interaction between the two.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: Systems and methods are described for performing distributed computations over a data set potentially owned or controlled by many stakeholders, each of whom may set their own policies governing access to and/or other use of their individual data.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: This disclosure relates to systems and methods for communicating, storing, and/or analyzing data that may include genomic data. In various embodiments, unaligned genomic sequence read data and/or portions thereof may be stored and/or communicated as a list of variants relative to a particular reference associated with a reference motif identified in the genomic sequence read data. In further embodiments, quality score information associated with a genomic dataset may be analyzed and and/or communicated as quality score parameter information. Additional embodiments may facilitate relatively efficient analysis of unaligned genomic sequence read data using metadata associated with reference motifs identified in the unaligned genomic sequence read data.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: Systems and methods are described for performing distributed computations over a data set potentially owned or controlled by many stakeholders, each of whom may set their own policies governing access to and/or other use of their individual data.

Abstract: Methods and apparatus for a secure framework for storing and analyzing genomic data. Embodiments of the present invention apply persistent governance to sensitive information and to the analytics that operate upon it, managing the interaction between the two.

Abstract: Systems and methods for performing a distributed computing task may use a plurality of distributed digital data resources. The distributed computing task may include dividing the computing task into sub-tasks for performance by a plurality of distributed worker nodes. The worker nodes may include a first worker node having at least partial access to a first digital data resource associated with a first set of rules corresponding to first conditions for accessing the first digital data resource and/or for computations operating on the first digital data resource. The worker nodes may include a second worker node having at least partial access to a second digital data resource associated with a second set of rules corresponding to second conditions for accessing the second digital data resource and/or for computations operating on the second digital data resource. The first conditions may differ from the second conditions.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: The present disclosure relates to systems and methods for facilitating trusted handling of genomic and/or other bioinformatic information. Certain embodiments may facilitate policy-based governance of access to and/or use of bioinformatic information, improved interaction with and/or use of distributed bioinformatic information, parallelization of various processes involving bioinformatic information, and/or reduced user involvement in bioinformatic workflow processes, and/or the like. Further embodiments may provide for memoization processes that may persistently store final and/or intermediate results of computations performed using genomic data for use in connection with future computations.

Abstract: Systems and methods are described for performing distributed computations over a data set potentially owned or controlled by many stakeholders, each of whom may set their own policies governing access to and/or other use of their individual data.

Abstract: Embodiments of the present invention pertain to determining whether a digital rights management system's native license is valid. According to one embodiment, a value of a decision indicator is accessed at a digital rights management system. The decision indicator is set by a trusted entity other than the digital rights management system because the digital rights management system does not have sufficient information to determine how to set the decision indicator. The value of the decision indicator is used at the decision rights management system to determine whether the native license associated with the digital rights management system is valid.

Abstract: Embodiments of the present invention pertain to determining whether a digital rights management system's native license is valid. According to one embodiment, a value of a decision indicator is accessed at a digital rights management system. The decision indicator is set by a trusted entity other than the digital rights management system because the digital rights management system does not have sufficient information to determine how to set the decision indicator. The value of the decision indicator is used at the decision rights management system to determine whether the native license associated with the digital rights management system is valid.

Abstract: The present invention provides a method for comprising data by determining a central value that is greater than the minimum value and less than the maximum value of the range of data. In one embodiment, the central value is chosen to be a value that substantially reduces a decoding error in the event that the range of values is subsequently estimated. In one embodiment, the central value is the value that minimizes the expected mean square error during reconstruction when there is an error. In one embodiment, the maximum and minimum values represent intensity data for pixels of an image. In another embodiment, the compression process is Adaptive Dynamic Range Coding, and the central value is a value within the dynamic range, excluding the maximum and minimum values.