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next-generation sequencing (ngs) data  (Caris Life Sciences)

 
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    Caris Life Sciences next-generation sequencing (ngs) data
    Next Generation Sequencing (Ngs) Data, supplied by Caris Life Sciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/next-generation+sequencing+(ngs)+data/next+generation+sequencing/pm40420168-41-24-29
    Average 90 stars, based on 1 article reviews
    next-generation sequencing (ngs) data - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Immunohistochemistry:

    Article Title: Targeting DNA helicase CMG complex and NFκB2-driven drug-resistant transcriptional axis to effectively treat KRAS G12D -mutated pancreatic cancer.
    Article Snippet: To access the clinical relevance of the identified drugresistant genes and their prognostic value, we analyzed transcriptomic datasets from approximately 13,704 PDAC patients with next-generation sequencing (NGS) data from Caris Life Sciences (Fig. 2A), and NCI-TCGA database (Supple.

    Article Title: Targeting DNA helicase CMG complex and NFκB2-driven drug-resistant transcriptional axis to effectively treat KRAS G12D -mutated pancreatic cancer
    Article Snippet: To access the clinical relevance of the identified drug-resistant genes and their prognostic value, we analyzed transcriptomic datasets from approximately 13,704 PDAC patients with next-generation sequencing (NGS) data from Caris Life Sciences (Fig. A), and NCI-TCGA database (Supple.

    Article Title: Comparison of breast and gastric HER2 immunohistochemistry (IHC) scoring criteria in the assessment of endometrial carcinoma.
    Article Snippet: Seven hundred and fifty two endometrial tumors with available HER2 IHC and molecular data by next-generation sequencing (NGS) and whole transcriptome sequencing (WTS) performed by the CLIA-certified molecular profiling laboratory Caris Life Sciences (Phoenix, AZ) were included.

    Article Title: KRASG12D-Mutated Metastatic Colorectal Cancer: Clinical, Molecular, Immunologic, and Prognostic Features of a New Emerging Targeted Alteration
    Article Snippet: PURPOSE KRASG12Dmutation (mut) occurs in about 10%-12% ofmetastatic colorectal cancer (mCRC).. Recently, novel KRASG12D inhibitors have been developed and are currently under investigation in phase I/II clinical trials in solid tumors including mCRC.. We aimed at performing a comprehensive characterization of clinical, molecular, immunologic, and prognostic features of KRASG12D-mutated mCRC to inform the design and the interpretation of future trials.

    Article Title: Real-world evidence provides clinical insights into tissue-agnostic therapeutic approvals.
    Article Snippet: We relied heavily on the combination of real-world approaches using insurance claims databases, combined with next-generation sequencing (NGS) data within the Caris Life Sciences database to evaluate the burden of disease embodied in these indications, as well as evaluate the practical therapeutic implications of tissue-agnostic indications in a real-world setting.

    Next-Generation Sequencing:

    Article Title: Targeting DNA helicase CMG complex and NFκB2-driven drug-resistant transcriptional axis to effectively treat KRAS G12D -mutated pancreatic cancer.
    Article Snippet: To access the clinical relevance of the identified drugresistant genes and their prognostic value, we analyzed transcriptomic datasets from approximately 13,704 PDAC patients with next-generation sequencing (NGS) data from Caris Life Sciences (Fig. 2A), and NCI-TCGA database (Supple.

    Article Title: Targeting DNA helicase CMG complex and NFκB2-driven drug-resistant transcriptional axis to effectively treat KRAS G12D -mutated pancreatic cancer
    Article Snippet: To access the clinical relevance of the identified drug-resistant genes and their prognostic value, we analyzed transcriptomic datasets from approximately 13,704 PDAC patients with next-generation sequencing (NGS) data from Caris Life Sciences (Fig. A), and NCI-TCGA database (Supple.

    Article Title: Comparison of breast and gastric HER2 immunohistochemistry (IHC) scoring criteria in the assessment of endometrial carcinoma.
    Article Snippet: Seven hundred and fifty two endometrial tumors with available HER2 IHC and molecular data by next-generation sequencing (NGS) and whole transcriptome sequencing (WTS) performed by the CLIA-certified molecular profiling laboratory Caris Life Sciences (Phoenix, AZ) were included.

    Article Title: KRASG12D-Mutated Metastatic Colorectal Cancer: Clinical, Molecular, Immunologic, and Prognostic Features of a New Emerging Targeted Alteration
    Article Snippet: PURPOSE KRASG12Dmutation (mut) occurs in about 10%-12% ofmetastatic colorectal cancer (mCRC).. Recently, novel KRASG12D inhibitors have been developed and are currently under investigation in phase I/II clinical trials in solid tumors including mCRC.. We aimed at performing a comprehensive characterization of clinical, molecular, immunologic, and prognostic features of KRASG12D-mutated mCRC to inform the design and the interpretation of future trials.

    Article Title: Real-world evidence provides clinical insights into tissue-agnostic therapeutic approvals.
    Article Snippet: We relied heavily on the combination of real-world approaches using insurance claims databases, combined with next-generation sequencing (NGS) data within the Caris Life Sciences database to evaluate the burden of disease embodied in these indications, as well as evaluate the practical therapeutic implications of tissue-agnostic indications in a real-world setting.

    Sequencing:

    Article Title: Targeting DNA helicase CMG complex and NFκB2-driven drug-resistant transcriptional axis to effectively treat KRAS G12D -mutated pancreatic cancer.
    Article Snippet: To access the clinical relevance of the identified drugresistant genes and their prognostic value, we analyzed transcriptomic datasets from approximately 13,704 PDAC patients with next-generation sequencing (NGS) data from Caris Life Sciences (Fig. 2A), and NCI-TCGA database (Supple.

    Article Title: Targeting DNA helicase CMG complex and NFκB2-driven drug-resistant transcriptional axis to effectively treat KRAS G12D -mutated pancreatic cancer
    Article Snippet: To access the clinical relevance of the identified drug-resistant genes and their prognostic value, we analyzed transcriptomic datasets from approximately 13,704 PDAC patients with next-generation sequencing (NGS) data from Caris Life Sciences (Fig. A), and NCI-TCGA database (Supple.

    Article Title: Comparison of breast and gastric HER2 immunohistochemistry (IHC) scoring criteria in the assessment of endometrial carcinoma.
    Article Snippet: Seven hundred and fifty two endometrial tumors with available HER2 IHC and molecular data by next-generation sequencing (NGS) and whole transcriptome sequencing (WTS) performed by the CLIA-certified molecular profiling laboratory Caris Life Sciences (Phoenix, AZ) were included.

    Article Title: KRASG12D-Mutated Metastatic Colorectal Cancer: Clinical, Molecular, Immunologic, and Prognostic Features of a New Emerging Targeted Alteration
    Article Snippet: PURPOSE KRASG12Dmutation (mut) occurs in about 10%-12% ofmetastatic colorectal cancer (mCRC).. Recently, novel KRASG12D inhibitors have been developed and are currently under investigation in phase I/II clinical trials in solid tumors including mCRC.. We aimed at performing a comprehensive characterization of clinical, molecular, immunologic, and prognostic features of KRASG12D-mutated mCRC to inform the design and the interpretation of future trials.

    Article Title: Real-world evidence provides clinical insights into tissue-agnostic therapeutic approvals.
    Article Snippet: We relied heavily on the combination of real-world approaches using insurance claims databases, combined with next-generation sequencing (NGS) data within the Caris Life Sciences database to evaluate the burden of disease embodied in these indications, as well as evaluate the practical therapeutic implications of tissue-agnostic indications in a real-world setting.



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    Image Search Results


    Data preprocessing workflow. When analyzing NGS datasets with KPop, one can optionally pre-process sequencing reads in order to eliminate biases and/or have the method focus on specific parts of the genome. For instance, one might align reads to a (pan-)genome and separate them into reads that align (likely to originate from the organism being studied) and reads that do not (likely to come from contaminations). Furthermore, reads that do map to the pan-genome might be separated into groups specific to different genomic features; for instance, one might align them to a set of MLST genes or AMR genes. Full k -mer spectra would then be separately obtained from each group of reads (contaminations, pan-genomic, MLST genes, AMR genes) and given as input to downstream/classification methods. The choice of the group of reads from which spectra are computed determines the set of sequences seen by the method, and hence the scope of the classification

    Journal: Genome Biology

    Article Title: KPop: accurate and scalable comparative analysis of microbial genomes by sequence embeddings

    doi: 10.1186/s13059-025-03585-8

    Figure Lengend Snippet: Data preprocessing workflow. When analyzing NGS datasets with KPop, one can optionally pre-process sequencing reads in order to eliminate biases and/or have the method focus on specific parts of the genome. For instance, one might align reads to a (pan-)genome and separate them into reads that align (likely to originate from the organism being studied) and reads that do not (likely to come from contaminations). Furthermore, reads that do map to the pan-genome might be separated into groups specific to different genomic features; for instance, one might align them to a set of MLST genes or AMR genes. Full k -mer spectra would then be separately obtained from each group of reads (contaminations, pan-genomic, MLST genes, AMR genes) and given as input to downstream/classification methods. The choice of the group of reads from which spectra are computed determines the set of sequences seen by the method, and hence the scope of the classification

    Article Snippet: In order to do so, simulated next-generation sequencing (NGS) data was generated for each genome using ART [ ], emulating Illumina HiSeq 2500 paired-end reads of length 150 bp with an average coverage of 20-fold.

    Techniques: Sequencing