Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: The present invention refers to the field of transactional data management. The invention provides a transactional semantic concurrency control system for managing a database, wherein the system comprises a data store engine which is adapted to manage the database comprising value rows, and each value row comprising a primary key uniquely identifying each row, at least one semantic column and a commit timestamp; wherein the data store engine is further adapted to manage operation rows, which are rows comprising a primary key, at least one operation to be applied over at least one semantic column of a value row identified by the primary key, and a commit timestamp; store the value rows and the operation rows; generate an operation row when it receives an operation that inserts, updates, upserts, and/or deletes a row of the database with the commit timestamp of the operation; and apply the operations of at least one operation row when a trigger condition is satisfied.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: Disclosed herein are systems and methods for performing secondary analyses of nucleotide sequencing data in a time-efficient manner. Some embodiments include performing a secondary analysis iteratively while sequence reads are generated by a sequencing system. Secondary analyses can encompass both alignment of sequence reads to a reference sequence (e.g., the human reference genome sequence) and utilization of this alignment to detect differences between a sample and the reference. Secondary analysis can enable detection of genetic differences, variant detection and genotyping, identification of single nucleotide polymorphisms (SNPs), small insertions and deletion (indels) and structural changes in the DNA, such as copy number variants (CNVs) and chromosomal rearrangements.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: A method and system for detecting obstacle elements is presented in the present disclosure, the detection performed with a visual aid device, the device comprising a distance sensor, the sensor being mounted in a wearable device to be worn by a user. Several embodiments of the detection method and system allow the further detection of different types of obstacles, in order to map and signal them to a user with low-vision.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: Disclosed herein are systems and methods for performing secondary analyses of nucleotide sequencing data in a time-efficient manner. Some embodiments include performing a secondary analysis iteratively while sequence reads are generated by a sequencing system. Secondary analyses can encompass both alignment of sequence reads to a reference sequence (e.g., the human reference genome sequence) and utilization of this alignment to detect differences between a sample and the reference. Secondary analysis can enable detection of genetic differences, variant detection and genotyping, identification of single nucleotide polymorphisms (SNPs), small insertions and deletion (indels) and structural changes in the DNA, such as copy number variants (CNVs) and chromosomal rearrangements.

Abstract: The present invention relates to the agri-food industry and obtaining seedless fruit. The invention consists of an active product whose composition comprises sulphur (S) as an octatomic molecule (S8) as its active ingredient, as well as optionally a surfactant and a plant hormone, preferably gibberellic acid or auxins and its use in a method for obtaining seedless fruit that comprises the application of the active product on crops, flowers, horticultural plants and/or fruit trees.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: Systems, components, devices, and methods for synchronizing files between a local file system and a server are provided. In an example, synchronization of individual files is paused by placing the individual files in a hold state. A non-limiting example method accesses a file stored on the local file system for synchronization with an associated file on the server and determines whether differences between the file and the associated file prevent synchronization. When determined that differences between the file and the associated file prevent synchronization, the method places the file in a hold state. The hold state pauses synchronization of the content in the file with the content of the associated file. In some examples, the method continues to synchronize topological changes to files that have been placed in the hold state and/or resumes synchronization after it is determined that the file is no longer different than the associated file.

Abstract: Disclosed herein are systems and methods for performing secondary analyses of nucleotide sequencing data in a time-efficient manner. Some embodiments include performing a secondary analysis iteratively while sequence reads are generated by a sequencing system. Secondary analyses can encompass both alignment of sequence reads to a reference sequence (e.g., the human reference genome sequence) and utilization of this alignment to detect differences between a sample and the reference. Secondary analysis can enable detection of genetic differences, variant detection and genotyping, identification of single nucleotide polymorphisms (SNPs), small insertions and deletion (indels) and structural changes in the DNA, such as copy number variants (CNVs) and chromosomal rearrangements.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: A technique is disclosed for sample management for use in conjunction with sequencing devices that sequence biological samples, e.g., DNA and RNA. A sequencing device or a network of sequencing devices may be scheduled according to the characteristics of the samples in queue and the capabilities and availability of sequencing devices. Biological samples may be automatically queued and loaded via a sample distribution system. A sample distribution system may be used to reduce operator intervention.

Abstract: Systems, components, devices, and methods for synchronizing files between a local file system and a server are provided. In an example, synchronization of individual files is paused by placing the individual files in a hold state. A non-limiting example method accesses a file stored on the local file system for synchronization with an associated file on the server and determines whether differences between the file and the associated file prevent synchronization. When determined that differences between the file and the associated file prevent synchronization, the method places the file in a hold state. The hold state pauses synchronization of the content in the file with the content of the associated file. In some examples, the method continues to synchronize topological changes to files that have been placed in the hold state and/or resumes synchronization after it is determined that the file is no longer different than the associated file.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.

Abstract: The present invention provides a novel approach for storing, analyzing, and/or accessing biological data in a cloud computing environment. Sequence data generated by a particular sequencing device may be uploaded to the cloud computing environment during a sequencing run, which reduces the on-site storage needs for the sequence data. Analysis of the data may also be performed in the cloud computing environment, and the instructions for such analysis may be set at the originating sequencing device. The sequence data in the cloud computing environment may be shared according to permissions. Further, the sequence data may be modified or annotated by authorized secondary users.