Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: A Self-Service Terminal (SST) that provides valuable media deposit features is enhanced with an apparatus fastened to an outside surface of the SST. The apparatus is adapted to receive an externally provided valuable media cassette and connect/interface a port of the cassette to an unload infeed port. A transaction interface is enhanced to identify the cassette as a source device for obtaining valuable media during a deposit transaction. The SST feeds the valuable media from the externally connected cassette through media validation and transport modules of the SST into cassettes of a safe and the SST returns rejected media for the deposit transaction back through the modules to return rejected media to the externally interfaced cassette.

Abstract: For high sequencing throughput, circuitry can compress read data generated in real-time by a sequencing device. Various compression techniques can be used. A stream of raw data can be processed to generate raw read data stream. The raw read data stream may include sub-streams of data comprising a header data sub-stream, a basecall sub-stream, and a quality score sub-stream. The sub-streams can be extracted and compressed using separate threads, and the compressed data can be recombined. Sequence reads corresponding to different copies of the same nucleic acid molecule may be clustered and used to generate a consensus read. The number of sequence reads that are used to generate the consensus read can be limited to a threshold when a consensus read is substantially accurate. After the limit is reached, data from any new raw read data corresponding to the same nucleic acid molecule may be discarded.

Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: Techniques for measuring sequences of nucleic acids are provided. Time-based measurements (e.g., forming a histogram) particular to a given sequencing cell can be used to generate a tailored model. The model can include probability functions, each corresponding to different states (e.g., different states of a nanopore). Such probability functions can be fit to a histogram of measurements obtained for that cell. The probability functions can be updated over a sequencing run of the nucleic acid so that drifts in physical properties of the sequencing cell can be compensated. A hidden Markov model can use such probability functions as emission probabilities for determining the most likely nucleotide states over time. For sequencing cells involving a polymerase, a 2-state classification between bound and unbound states of the polymerase can be performed. The bound regions can be further analyzed by a second classifier to distinguish between states corresponding to different bound nucleotides.

Abstract: A Self-Service Terminal (SST) that provides valuable media deposit features is enhanced with an apparatus fastened to an outside surface of the SST. The apparatus is adapted to receive an externally provided valuable media cassette and connect/interface a port of the cassette to an unload infeed port. A transaction interface is enhanced to identify the cassette as a source device for obtaining valuable media during a deposit transaction. The SST feeds the valuable media from the externally connected cassette through media validation and transport modules of the SST into cassettes of a safe and the SST returns rejected media for the deposit transaction back through the modules to return rejected media to the externally interfaced cassette.

Abstract: A Self-Service Terminal (SST) that provides valuable media deposit features is enhanced with an apparatus fastened to an outside surface of the SST. The apparatus is adapted to receive an externally provided valuable media cassette and connect/interface a port of the cassette to an unload infeed port. A transaction interface is enhanced to identify the cassette as a source device for obtaining valuable media during a deposit transaction. The SST feeds the valuable media from the externally connected cassette through media validation and transport modules of the SST into cassettes of a safe and the SST returns rejected media for the deposit transaction back through the modules to return rejected media to the externally interfaced cassette.

Abstract: A Self-Service Terminal (SST) that provides valuable media deposit features is enhanced with an apparatus fastened to an outside surface of the SST. The apparatus is adapted to receive an externally provided valuable media cassette and connect/interface a port of the cassette to an unload infeed port. A transaction interface is enhanced to identify the cassette as a source device for obtaining valuable media during a deposit transaction. The SST feeds the valuable media from the externally connected cassette through media validation and transport modules of the SST into cassettes of a safe and the SST returns rejected media for the deposit transaction back through the modules to return rejected media to the externally interfaced cassette.

Abstract: Techniques for measuring sequences of nucleic acids are provided. Time-based measurements (e.g., forming a histogram) particular to a given sequencing cell can be used to generate a tailored model. The model can include probability functions, each corresponding to different states (e.g., different states of a nanopore). Such probability functions can be fit to a histogram of measurements obtained for that cell. The probability functions can be updated over a sequencing run of the nucleic acid so that drifts in physical properties of the sequencing cell can be compensated. A hidden Markov model can use such probability functions as emission probabilities for determining the most likely nucleotide states over time. For sequencing cells involving a polymerase, a 2-state classification between bound and unbound states of the polymerase can be performed. The bound regions can be further analyzed by a second classifier to distinguish between states corresponding to different bound nucleotides.

Abstract: A Self-Service Terminal (SST) that provides valuable media deposit features is enhanced with an apparatus fastened to an outside surface of the SST. The apparatus is adapted to receive an externally provided valuable media cassette and connect/interface a port of the cassette to an unload infeed port. A transaction interface is enhanced to identify the cassette as a source device for obtaining valuable media during a deposit transaction. The SST feeds the valuable media from the externally connected cassette through media validation and transport modules of the SST into cassettes of a safe and the SST returns rejected media for the deposit transaction back through the modules to return rejected media to the externally interfaced cassette.

Abstract: Techniques for measuring sequences of nucleic acids are provided. Time-based measurements (e.g., forming a histogram) particular to a given sequencing cell can be used to generate a tailored model. The model can include probability functions, each corresponding to different states (e.g., different states of a nanopore). Such probability functions can be fit to a histogram of measurements obtained for that cell. The probability functions can be updated over a sequencing run of the nucleic acid so that drifts in physical properties of the sequencing cell can be compensated. A hidden Markov model can use such probability functions as emission probabilities for determining the most likely nucleotide states over time. For sequencing cells involving a polymerase, a 2-state classification between bound and unbound states of the polymerase can be performed. The bound regions can be further analyzed by a second classifier to distinguish between states corresponding to different bound nucleotides.

Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: Techniques for measuring sequences of nucleic acids are provided. Time-based measurements (e.g., forming a histogram) particular to a given sequencing cell can be used to generate a tailored model. The model can include probability functions, each corresponding to different states (e.g., different states of a nanopore). Such probability functions can be fit to a histogram of measurements obtained for that cell. The probability functions can be updated over a sequencing run of the nucleic acid so that drifts in physical properties of the sequencing cell can be compensated. A hidden Markov model can use such probability functions as emission probabilities for determining the most likely nucleotide states over time. For sequencing cells involving a polymerase, a 2-state classification between bound and unbound states of the polymerase can be performed. The bound regions can be further analyzed by a second classifier to distinguish between states corresponding to different bound nucleotides.

Abstract: Techniques for measuring sequences of nucleic acids are provided. Time-based measurements (e.g., forming a histogram) particular to a given sequencing cell can be used to generate a tailored model. The model can include probability functions, each corresponding to different states (e.g., different states of a nanopore). Such probability functions can be fit to a histogram of measurements obtained for that cell. The probability functions can be updated over a sequencing run of the nucleic acid so that drifts in physical properties of the sequencing cell can be compensated. A hidden Markov model can use such probability functions as emission probabilities for determining the most likely nucleotide states over time. For sequencing cells involving a polymerase, a 2-state classification between bound and unbound states of the polymerase can be performed. The bound regions can be further analyzed by a second classifier to distinguish between states corresponding to different bound nucleotides.

Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: Techniques for measuring sequences of nucleic acids are provided. Time-based measurements (e.g., forming a histogram) particular to a given sequencing cell can be used to generate a tailored model. The model can include probability functions, each corresponding to different states (e.g., different states of a nanopore). Such probability functions can be fit to a histogram of measurements obtained for that cell. The probability functions can be updated over a sequencing run of the nucleic acid so that drifts in physical properties of the sequencing cell can be compensated. A hidden Markov model can use such probability functions as emission probabilities for determining the most likely nucleotide states over time. For sequencing cells involving a polymerase, a 2-state classification between bound and unbound states of the polymerase can be performed. The bound regions can be further analyzed by a second classifier to distinguish between states corresponding to different bound nucleotides.

Abstract: Improved multi-cell nanopore-based sequencing chips and methods can employ formation, characterization, calibration, and/or normalization techniques. For example, various methods may include one or more steps of performing physical checks of cell circuitry, forming and characterizing a lipid layer on the cells, performing a zero point calibration of the cells, forming and characterizing nanopores on the lipid layers of each cell, performing a sequencing operation to accumulate sequencing signals from the cells, normalizing those sequencing signals, and determining bases based on the normalized sequencing signals.

Abstract: A micromachined flow cell includes a substrate and a freestanding tube, delimiting a fluidic conduit therein and being integrally formed from material of the substrate.