Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of copy number alterations. In particular, a method is provided for determining presence or absence of a copy number alteration for a test subject. The method includes providing a set of sequence reads. The sequence reads may be obtained from circulating cell free sample nucleic acid from a test sample obtained from the test subject, and the circulating cell free sample nucleic acid may be captured by probe oligonucleotides under hybridization conditions. The method further includes determining a probe coverage quantification of the sequence reads for the probe oligonucleotides and determining the presence or absence of a copy number alteration in the circulating cell free sample nucleic acid based on the probe coverage quantification of the sequence reads for the probe oligonucleotides for the test sample.

Abstract: An apparatus for downhole multi-dimensional imaging includes an acquisition unit configured to acquire a formation resistivity signal, an ultrasonic echo signal and an orientation signal regularly; a sector calculation unit configured to calculate, based on said orientation signal, a sector where a currently acquired signal is from; and a multi-dimensional imaging unit, configured to calculate, based on the signals acquired by the acquisition unit, data of resistivity, distance from a drilling tool to a borehole wall and ultrasonic echo amplitude, and distribute said data into all sectors for feature recognition and extraction, thus obtaining key features characterizing a current formation being drilled, said key features being transmitted to ground for guiding drilling process. The structural complexity and the length of the downhole imaging measurement instrument can be reduced, and feature recognition can be directly performed on the imaging data underground.

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number variations (CNVs) for a test sample. Technology provided herein is useful for classifying a genetic CNV for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number variations (CNVs) for a test sample. Technology provided herein is useful for classifying a genetic CNV for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number variations (CNVs) for a test sample. Technology provided herein is useful for classifying a genetic CNV for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.

Abstract: A method may include receiving user instrumentation data and code instrumentation data from at least one user computing device such that the user and code instrumentation data is associated with performance of a user action of an application. The user instrumentation data may include a name identification of the user action and an input type identification of the initiation of the user action. The method may include storing the user and code instrumentation data in a database. The method may include receiving a search query associated with a past user action made in the application. The method may include retrieving, from the database, a set of one or more user actions based on the search query. The method may include presenting a user interface that includes an abstracted representation of the retrieved set of user actions.

Abstract: Technology provided herein relates in part to methods, processes, machines and apparatuses for non-invasive assessment of copy number alterations. In particular, a method is provided for determining presence or absence of a copy number alteration for a test subject. The method includes providing a set of sequence reads. The sequence reads may be obtained from circulating cell free sample nucleic acid from a test sample obtained from the test subject, and the circulating cell free sample nucleic acid may be captured by probe oligonucleotides under hybridization conditions. The method further includes determining a probe coverage quantification of the sequence reads for the probe oligonucleotides and determining the presence or absence of a copy number alteration in the circulating cell free sample nucleic acid based on the probe coverage quantification of the sequence reads for the probe oligonucleotides for the test sample.

Abstract: A method may include receiving user instrumentation data and code instrumentation data from at least one user computing device, the user and code instrumentation data associated with performance of a user action of an application, wherein the user instrumentation data includes: a name identification of the user action; and an input type identification of the initiation of the user action; storing the user and code instrumentation data in a database; receiving a search query associated with a past user action made in the application; retrieving, from the database, a set of one or more user actions based on the search query; and presenting a user interface that includes an abstracted representation of the retrieved set of user actions.

Abstract: A method may be performed to receive and store in a database user instrumentation data and code instrumentation data from a user computing device. The user and code instrumentation data may be associated with performance of a user action of an application. The user instrumentation data may include a name identification of the user action, an input type identification of the initiation of the user action, and context data of the user action as executed. The user instrumentation data may be stored as associated with a user identification. The method may also include receiving a request from a requesting computing device to identify at least one past user action of the user. In response to receiving the request, the method may include querying the database and providing results of the query to the requesting computing device.

Abstract: A method may include receiving user instrumentation data and code instrumentation data from a user computing device, the user and code instrumentation data associated with performance of a user action of an application, wherein the user instrumentation data includes: a name identification of the user action; an input type identification of the initiation of the user action; and context data of the user action as executed; storing the user and code instrumentation data in a database, wherein the user instrumentation data is stored as associated with a user identification; receiving a request, from a requesting computing device, to identify at least one past user action of the user; in response to receiving the request, querying the database; and providing results of the query to the requesting computing device

Abstract: Technology provided herein relates in part to non-invasive classification of one or more genetic copy number alterations (CNAs) for a test sample. Certain methods include sampling a quantification of sequence reads from parts of a genome, generating a confidence determination, and using the confidence determination to enhance classification. Technology provided herein is useful for classifying a genetic CNA for a sample as part of non-invasive pre-natal (NIPT) testing and oncology testing, for example.