Abstract: Novel RET fusion molecules and uses are disclosed.

Abstract: Various embodiments provide interfaces to access genomic testing information and incorporate it into daily physician practice. According to one aspect, a graph-based data model is used that may be used to organizes and revise precision medicine knowledge. In one example structure, gene states are abstracted into alteration groups, where alteration groups are built using reverse engineering actionable information and storing that information within the graph-based data structure. Volumes of genomic alterations and associated information (e.g., journal articles, clinical trial information, therapies, etc.) are analyzed and synthesized into actionable information items viewable on an alteration system in a graph-based data format. According to one embodiment, the system can be configured to focus practitioners on discrete portions of the alteration information on which they can act.

Abstract: A method of analyzing a tumor sample comprising: (a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library; (d) aligning said read; and (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.

Abstract: A method of analyzing a tumor sample comprising: (a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library; (d) aligning said read; and (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.

Abstract: Novel RET fusion molecules and uses are disclosed.

Abstract: Novel RET fusion molecules and uses are disclosed. In one embodiment, a KIF5B-RET fusion includes an in-frame fusion of an exon of KIF5B (e.g., one or more exons encoding a kinesin motor domain or a fragment thereof) and an exon of RET (e.g., one or more exons encoding a RET tyrosine kinase domain or a fragment thereof). For example, the KIF5B-RET fusion can include an in-frame fusion of at least exon 15 of KIF5B or a fragment thereof (e.g., exons 1-15 of KIF5B or a fragment thereof) with at least exon 12 of RET or a fragment thereof (e.g., exons 12-20 of RET or a fragment thereof).

Abstract: Novel RET fusion molecules and uses are disclosed. In one embodiment, a KIF5B-RET fusion includes an in-frame fusion of an exon of KIF5B (e.g., one or more exons encoding a kinesin motor domain or a fragment thereof) and an exon of RET (e.g., one or more exons encoding a RET tyrosine kinase domain or a fragment thereof). For example, the KIF5B-RET fusion can include an in-frame fusion of at least exon 15 of KIF5B or a fragment thereof (e.g., exons 1-15 of KIF5B or a fragment thereof) with at least exon 12 of RET or a fragment thereof (e.g., exons 12-20 of RET or a fragment thereof).

Abstract: A method of analyzing a tumor sample comprising: (a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library; (d) aligning said read; and (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.

Abstract: Novel RET fusion molecules and uses are disclosed.

Abstract: Various embodiments provide interfaces to access genomic testing information and incorporate it into daily physician practice. According to one aspect, a graph-based data model is used that may be used to organizes and revise precision medicine knowledge. In one example structure, gene states are abstracted into alteration groups, where alteration groups are built using reverse engineering actionable information and storing that information within the graph-based data structure. Volumes of genomic alterations and associated information (e.g., journal articles, clinical trial information, therapies, etc.) are analyzed and synthesized into actionable information items viewable on an alteration system in a graph-based data format. According to one embodiment, the system can be configured to focus practitioners on discrete portions of the alteration information on which they can act.

Abstract: Various embodiments provide interfaces to access genomic testing information and incorporate it into daily physician practice. According to one aspect, a graph-based data model is used that may be used to organizes and revise precision medicine knowledge. In one example structure, gene states are abstracted into alteration groups, where alteration groups are built using reverse engineering actionable information and storing that information within the graph-based data structure. Volumes of genomic alterations and associated information (e.g., journal articles, clinical trial information, therapies, etc.) are analyzed and synthesized into actionable information items viewable on an alteration system in a graph-based data format. According to one embodiment, the system can be configured to focus practitioners on discrete portions of the alteration information on which they can act.

Abstract: Novel RET fusion molecules and uses are disclosed.

Abstract: A method of analyzing a tumor sample comprising: (a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library; (d) aligning said read; and (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.

Abstract: The present invention is directed to the identification of predictive genotypes, e.g., predictive single nucleotide polymorphisms (SNPs), and markers that can be used to determine whether a patient having a CC-Chemokine Receptor 2 (CCR-2) mediated disorders is likely to be responsive or non-responsive to a therapeutic regimen. For example, the present invention is directed, in part, to the use of certain individual and/or combinations of SNPs, wherein the expression of particular alleles at particular SNPs, or combinations of alleles at loci in linkage disequilibrium with a particular SNP, correlate with responsiveness or non-responsiveness to a therapeutic regimen. The present invention is also directed to the use of certain individual and/or combinations of predictive markers which correlate with responsiveness or non-responsiveness to a therapeutic regimen.

Abstract: An auto allele caller executed in a computer system for identifying alleles from a trace is described. The auto allele caller applies a typical shape of an allele for a marker to the trace to identify potential allele calls that match to the typical shape of the allele at the marker and assigns a quality factor to the allele calls.