Koninklijke Philips Corporation N.V.

Alcatel Lucent

Yee Him Cheung

Shubham Chandak

Nevenka Dimitrova

Swarup Acharya

Anurag Srivastava

Nilanjana Banerjee

Alexander Ryan Mankovich

Vartika Agrawal

Johanna Maria De Bont

Jozef Hieronymus Maria Raijmakers

Nevenka Dimirova

A method for controlling compression of data includes accessing genomic annotation data in one of a plurality of first file formats, extracting attributes from the genomic annotation data, dividing the genomic annotation data into multiple chunks, and processing the extracted attributes and chunks into correlated information. The method also includes generating a file in a second file format that includes the correlated information and information indicative of the different compressors for the chunks and attributes indicated in the correlated information. The information indicative of the different compressors is processed into the second file format to allow selective decompression of the attributes and chunks indicated in correlated information. The method also includes generating access control policy information for the correlated information and integrating the access control policy information into the file of the second file format.

System and method for effective compression representation and decompression of diverse tabulated data

A method () for compressing and decompressing a data file, comprising: (i) receiving () a data file for compression comprising a plurality of different attributes; (ii) identifying () a first attribute of the plurality of different attributes; (iii) selecting () a plurality of compression types and/or configurations; (iv) compressing () at least some of the data from the received data file for the identified first attribute using each of the selected plurality of compression types and/or configurations; (v) determining () which one of the selected plurality of compression types and/or configurations is most suitable for compression; (vi) generating () a compression parameter data structure comprising an identification of the selected plurality of compression types and/or configurations; (vii) compressing () the data from the received data file for the first attribute to generate a compressed data file; and (viii) storing () the compression parameter data structure and the compressed data file.

System and method for auto-configurable data compression framework

A method () for packaging genomic data within a file structure, the method comprising: (i) receiving () a genomic dataset comprising genomic data; (ii) extracting () a plurality of attributes from the genomic dataset, wherein each of the plurality of attributes is defined within an attribute information table of the data structure; (iii) breaking () each attribute into a plurality of chunks of a predetermined size; (iv) indexing () each of the plurality of chunks in the master index of the data structure; (v) compressing () each of the plurality of chunks individually; and (vi) packaging () each compressed chunk within an allocated location as defined by the master index; wherein the data structure is configured such that each of the plurality of chunks can be decompressed individually.

System and method for storing and transporting diverse genomic data

A method for compressing information includes accessing a read of genomic sequencing data, aligning the read to a reference, generating alignment data based on alignment of the read, obtaining a set of contexts based on the alignment data, and compressing quality values corresponding to the alignment data based on the set of contexts. The alignment data may provide an indication of errors in the genomic sequencing data, and each of the quality values may provide an indication of a probability of error at one or more bases in the genomic sequencing data.

Quality value compression framework in aligned sequencing data based on novel contexts

A method for controlling compression of data includes accessing genomic annotation data in one of a plurality of first file formats, extracting attributes from the genomic annotation data, dividing the genomic annotation data into multiple chunks, and processing the extracted attributes and chunks into correlated information. The method also includes selecting different compressors for the attributes and chunks identified in the correlated information and generating a file in a second file format that includes the correlated information and information indicative of the different compressors for the chunks and attributes indicated in the correlated information. The information indicative of the different compressors is processed into the second file format to allow selective decompression of the attributes and chunks indicated in correlated information.

System and method for effective compression, representation and decompression of diverse tabulated data

In patient cohort identification, clustering () of patients is performed using a patient comparison metric dependent on a set of features (). Information is displayed on sample patients who are similar or dissimilar to a query patient according to the clustering. User inputted comparison values are received comparing the sample patients with the query patient. The set of features and/or feature weights are adjusted to generate an adjusted patient comparison metric having improved agreement with the user inputted comparison values. The clustering is repeated using the adjusted patient comparison metric. A patient cohort is identified from a cluster () containing the query patient produced by the last clustering repetition. The information on the sample patients may be shown by simultaneously displaying two or more graphical modality representations () each plotting the sample patients and the query patient against two or more features of the modality.

Relevance feedback to improve the performance of clustering model that clusters patients with similar profiles together

Advertisements or other types of targeted information are delivered to set-top boxes or other user interface devices of a signal distribution system. In one aspect of the invention, at least one multicast update comprising updated targeted information is sent to the user interface devices during a multicast update period. If a given one of the user interface devices is unable to obtain a complete set of the updated targeted information from the multicast update before timeout of the multicast update period, a unicast update comprising at least a portion of the updated targeted information is sent to the given user interface device during a unicast update period. The unicast update may be sent responsive to a request from the given user interface device for a designated portion of the updated targeted information.

Update process for interface device based targeted information insertion

Systems and methods facilitate the location and/or identification of repetitive DNA patterns, such as CpG islands, Alu repeats, tandem repeats and various types of satellite repeats. These repetitive elements can be found within a chromosome, within a genome or across genomes of various species. The systems and methods apply image processing operators to find prominent features in the vertical and horizontal direction of the DNA spectrograms. The systems and methods for detecting and/or classifying repetitive DNA patterns include: (a) a comparative histogram method, (b) feature selection and classification using support vector machines and genetic algorithms, and (c) generation of a spectrovideo from a plurality of spectral images.

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Boston, MA, United States of America

Yee Him Cheung