This document describes, among other things, a computer-implemented method for displaying and analyzing sequenced genome data. The method can include obtaining, at a computing system, genomic data for a plurality of organisms. A graphical representation can of the genomic data can be generated by the computing system based at least on the genomic data for the plurality of organisms, and the graphical representation can include a plurality of tracks that are arranged to show one or more features of the genomic data for different ones of the plurality of organisms. The graphical representation can be output for display by the computing system.

A method includes: (1) applying stimulations to a system, wherein applying the stimulations includes modulating, over time, characteristics of the stimulations; (2) measuring a time-varying response of the system to the stimulations; (3) fitting the time-varying response of the system into a model of the system; and (4) using the model of the system, identifying an optimized combination of characteristics of the stimulations to yield a desired response of the system.

A method includes: (1) applying stimulations to a system, wherein applying the stimulations includes modulating, over time, characteristics of the stimulations; (2) measuring a time-varying response of the system to the stimulations; (3) fitting the time-varying response of the system into a model of the system; and (4) using the model of the system, identifying an optimized combination of characteristics of the stimulations to yield a desired response of the system.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

A method and system for increasing process performance in a biological process comprising at least one process step, the method comprising: (a) an identification phase, in which at least seven factors are identified, wherein a factor is defined as a feature of or within a process that when modified will affect the performance of the process, and wherein the factors are selected from at least one process factor and at least one genetic factor; (b) a factor screening phase, in which individual and combined contributions to process performance of each of the at least seven factors are determined, such that at least one multi-factorial interaction is identified; and (c) a refinement phase, in which higher order interactions that result in an increase in process performance between the at least seven factors are identified and tested. The method may be incorporated within automated laboratory and design of experiment systems.

A method and system for increasing process performance in a biological process comprising at least one process step, the method comprising: (a) an identification phase, in which at least seven factors are identified, wherein a factor is defined as a feature of or within a process that when modified will affect the performance of the process, and wherein the factors are selected from at least one process factor and at least one genetic factor; (b) a factor screening phase, in which individual and combined contributions to process performance of each of the at least seven factors are determined, such that at least one multi-factorial interaction is identified; and (c) a refinement phase, in which higher order interactions that result in an increase in process performance between the at least seven factors are identified and tested. The method may be incorporated within automated laboratory and design of experiment systems.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

Herein is reported a method for selecting or deselecting an antibody comprising a) determining for each Asp and Asn residue in an antibody Fv region the conformational flexibility of the C.sub.-atom using a homology model ensemble, b) determining for each Asp and Asn residue in an antibody Fv region the size of the amino acid residue C-terminal to the Asp or Asn residue, and c) selecting an antibody in which the C.sub.a-atom is conformationally inflexible and/or the Asp or Asn has a big C-terminal amino acid residue, or deselecting an antibody in which the C.sub.-atom has a moderate to high conformational flexibility and/or the Asp or Asn has a small C-terminal amino acid residue.