In a fluorescent in-situ hybridization imaging system performs, as nested loops, the following: (1) a valve sequentially couples a flow cell to a plurality of different reagent sources to expose the sample to a plurality of different reagents, (2) for each reagent of the plurality of different reagents, a motor sequentially positions the fluorescence microscope relative to sample at a plurality of different fields of view, (3) for each field of view of the plurality of different fields of view, a variable frequency excitation light source sequentially emits a plurality of different wavelengths, (4) for each wavelength of the plurality of different wavelengths, an actuator sequentially positions the fluorescence microscope relative to sample at a plurality of different vertical heights, and (5) for each vertical height of the plurality of different vertical heights, an image is obtained.

Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.

Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.

Systems and methods for multi-dimensional mapping of binary data DNA sequences are described. In one embodiment, the method may include determining a current level of a first DNA base from a sequence of DNA bases based at least in part on a read process of the sequence, determining a current level of a second DNA base after the first DNA base and a current level of a third DNA base after the second DNA base, and decoding binary data from the sequence based at least in part on the determined current level of the first DNA base, the determined current level of the second DNA base, and/or the determined current level of the third DNA base.

Systems and methods for multi-dimensional mapping of binary data DNA sequences are described. In one embodiment, the method may include determining a current level of a first DNA base from a sequence of DNA bases based at least in part on a read process of the sequence, determining a current level of a second DNA base after the first DNA base and a current level of a third DNA base after the second DNA base, and decoding binary data from the sequence based at least in part on the determined current level of the first DNA base, the determined current level of the second DNA base, and/or the determined current level of the third DNA base.

Some embodiments are directed to a method for anonymizing a genomic data set. The method comprises receiving (410) the genomic data set and obtaining (420) a phenotypic probability for at least one phenotype informative single nucleotide polymorphism (SNP) of the genomic data set and a proportion of a population which exhibits a corresponding phenotypic trait. A re-identification risk score is computed (430) based on the genomic data set from the obtained phenotypic probability and the obtained proportion of the population which exhibits the phenotypic trait. If the re-identification risk score does not meet a threshold risk criterion, the genomic data set is anonymized by selecting (450) a phenotype informative SNP and masking (460) the selected phenotype informative SNP, and the re-identification risk score is re-computed. If the re-identification risk score meets the threshold risk criterion, the anonymized genomic data set is output (470).

Some embodiments are directed to a method for anonymizing a genomic data set. The method comprises receiving (410) the genomic data set and obtaining (420) a phenotypic probability for at least one phenotype informative single nucleotide polymorphism (SNP) of the genomic data set and a proportion of a population which exhibits a corresponding phenotypic trait. A re-identification risk score is computed (430) based on the genomic data set from the obtained phenotypic probability and the obtained proportion of the population which exhibits the phenotypic trait. If the re-identification risk score does not meet a threshold risk criterion, the genomic data set is anonymized by selecting (450) a phenotype informative SNP and masking (460) the selected phenotype informative SNP, and the re-identification risk score is re-computed. If the re-identification risk score meets the threshold risk criterion, the anonymized genomic data set is output (470).

A method (100) for storing genomic data within a data structure comprising a file structure, comprising: (i) receiving (120) a genomic dataset comprising a plurality of fields or attributes of different data types; (ii) generating (130) an information metadata structure for the genomic dataset, comprising one or more of: information about an annotation table, including one or more user profiles and associated profile permission; analytics information configured to facilitate verification of data reproducibility; access history for the genomic dataset, configured to facilitate data traceability; and linkage information defining a relationship between the annotation table and one or more data objects; (ii) compressing (140) the genomic data and information metadata using a compression algorithm; and (iv) storing (150) the compressed genomic dataset and information metadata in a container data structure; wherein some or all of the annotation table is encrypted.

A method (100) for storing genomic data within a data structure comprising a file structure, comprising: (i) receiving (120) a genomic dataset comprising a plurality of fields or attributes of different data types; (ii) generating (130) an information metadata structure for the genomic dataset, comprising one or more of: information about an annotation table, including one or more user profiles and associated profile permission; analytics information configured to facilitate verification of data reproducibility; access history for the genomic dataset, configured to facilitate data traceability; and linkage information defining a relationship between the annotation table and one or more data objects; (ii) compressing (140) the genomic data and information metadata using a compression algorithm; and (iv) storing (150) the compressed genomic dataset and information metadata in a container data structure; wherein some or all of the annotation table is encrypted.

The invention discloses a method, a system, an apparatus for data storage, and a storage medium. The method for data storage medium includes: acquiring first data; grouping the first data to obtain K packet sub-data; inputting a preset primer into a random generator to obtain 4T random number sequences, 4.sup.T>K; determining the packet sub-data corresponding to the ith random number sequence, and performing exclusive or (XOR) operation on the determined packet sub-data to obtain data information DATAi, and obtaining a DNA molecular chain according to the data information DATAi, the preset primer and the generation times capacity of the random generator; performing DNA sequence synthesis on the plurality of DNA molecular chains to obtain target storage data. In the disclosure, in the process of coding the first data to obtain a DNA molecular chain, a random generator is added to greatly simplify the coding process and implement efficient and accurate coding on the first data. The disclosure may be widely applied to a field of data storage technologies.