Abstract: Centralized channel management of a set group-based communication system is described. A channel management interface, of the group-based communication system, can be presented via a client of a user associated with a first organization, wherein the channel management interface includes communication channels associated with the first organization, wherein at least a first communication channel is associated with the first organization and a second organization, and wherein at least a second communication channel is associated with the first organization and a third organization. A request can be received via the channel management interface to initiate a channel management action associated with at least one of the first communication channel or the second communication channel and in response to receiving the request to initiate the channel management action, data associated with at least one of the first communication channel or the second communication channel can be updated.

Abstract: Centralized channel management of a set group-based communication system is described. A channel management interface, of the group-based communication system, can be presented via a client of a user associated with a first organization, wherein the channel management interface includes communication channels associated with the first organization, wherein at least a first communication channel is associated with the first organization and a second organization, and wherein at least a second communication channel is associated with the first organization and a third organization. A request can be received via the channel management interface to initiate a channel management action associated with at least one of the first communication channel or the second communication channel and in response to receiving the request to initiate the channel management action, data associated with at least one of the first communication channel or the second communication channel can be updated.

Abstract: Centralized channel management of a set group-based communication system is described. A channel management interface, of the group-based communication system, can be presented via a client of a user associated with a first organization, wherein the channel management interface includes communication channels associated with the first organization, wherein at least a first communication channel is associated with the first organization and a second organization, and wherein at least a second communication channel is associated with the first organization and a third organization. A request can be received via the channel management interface to initiate a channel management action associated with at least one of the first communication channel or the second communication channel and in response to receiving the request to initiate the channel management action, data associated with at least one of the first communication channel or the second communication channel can be updated.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that enable performing dynamic user group management in a group-based communication system.

Abstract: An exemplary chromatographic alignment system accesses a target file including data representative of a plurality of chromatographic features detected from a first sample and a reference file including data representative of a plurality of chromatographic features detected from a second sample. The system identifies, based on the target and reference files, a distinct retention time offset value for each chromatographic feature included in a first subset of the plurality of chromatographic features detected from the first sample. The system determines, based on the identified distinct retention time offset values for the chromatographic features included in the first subset and on a machine learning model, a distinct predicted retention time offset value for each chromatographic feature included in a second subset of the plurality of chromatographic features detected from the first sample.

Abstract: Various embodiments of the present disclosure provide for centralized channel management of a set of group-based communication channels. In this regard, a user associated with an authenticated user account may manage any number of group-based communication channels individually or using one or more group operations for the set of group-based communication channels or a desired subset thereof.

Abstract: Various embodiments of the present disclosure provide for centralized channel management of a set of group-based communication channels. In this regard, a user associated with an authenticated user account may manage any number of group-based communication channels individually or using one or more group operations for the set of group-based communication channels or a desired subset thereof.

Abstract: Various embodiments of the present disclosure provide for centralized channel management of a set of group-based communication channels. In this regard, a user associated with an authenticated user account may manage any number of group-based communication channels individually or using one or more group operations for the set of group-based communication channels or a desired subset thereof.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that enable performing dynamic user group management in a group-based communication system.

Abstract: An exemplary chromatographic alignment system accesses a target file including data representative of a plurality of chromatographic features detected from a first sample and a reference file including data representative of a plurality of chromatographic features detected from a second sample. The system identifies, based on the target and reference files, a distinct retention time offset value for each chromatographic feature included in a first subset of the plurality of chromatographic features detected from the first sample. The system determines, based on the identified distinct retention time offset values for the chromatographic features included in the first subset and on a machine learning model, a distinct predicted retention time offset value for each chromatographic feature included in a second subset of the plurality of chromatographic features detected from the first sample.

Abstract: A mass spectrometric analysis method comprises: (1) processing a mass spectrum to reduce the signals to monoisotopic values; (2) creating a list of differences between the monoisotopic values; (3) creating one or more lists of theoretical mass-to-charge differences among known adducts, charge states and polymerization states whose formation may be expected from various analyte molecules; (4) comparing the theoretical differences (line or edge in the network) to the list of differences from the mass spectrum and, where applicable, make and tabulate tentative species assignments; (5) assigning the mass spectral peaks to respective ion species in accordance with the redundancy of each assignment based on multiple independent calculated mass-to-charge differences pertaining to each peak; (6) choosing an ion species for further fragmentation or reaction in the mass spectrometer, based on the assigning; and (7) performing the fragmentation or reaction on the chosen ion species in the mass spectrometer.

Abstract: A mass spectrometric analysis method comprises: (1) processing a mass spectrum to reduce the signals to monoisotopic values; (2) creating a list of differences between the monoisotopic values; (3) creating one or more lists of theoretical mass-to-charge differences among known adducts, charge states and polymerization states whose formation may be expected from various analyte molecules; (4) comparing the theoretical differences (line or edge in the network) to the list of differences from the mass spectrum and, where applicable, make and tabulate tentative species assignments; (5) assigning the mass spectral peaks to respective ion species in accordance with the redundancy of each assignment based on multiple independent calculated mass-to-charge differences pertaining to each peak; (6) choosing an ion species for further fragmentation or reaction in the mass spectrometer, based on the assigning; and (7) performing the fragmentation or reaction on the chosen ion species in the mass spectrometer.

Abstract: A mass spectrometric analysis method comprises: (1) processing a mass spectrum to reduce the signals to monoisotopic values; (2) creating a list of differences between the monoisotopic values; (3) creating one or more lists of theoretical mass-to-charge differences among known adducts, charge states and polymerization states whose formation may be expected from various analyte molecules; (4) comparing the theoretical differences (line or edge in the network) to the list of differences from the mass spectrum and, where applicable, make and tabulate tentative species assignments; and (5) assigning the mass spectral peaks to respective ion species in accordance with the redundancy of each assignment based on multiple independent calculated mass-to-charge differences pertaining to each peak.