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next-generation sequencing (ngs) data  (KeyGene Inc)

 
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    KeyGene Inc next-generation sequencing (ngs) data
    Computational stem cell biology tools
    Next Generation Sequencing (Ngs) Data, supplied by KeyGene Inc, 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/ngs+sequence+data/next+generation+sequencing++ngs++data/pmc05116400-124-14-8
    Average 90 stars, based on 1 article reviews
    next-generation sequencing (ngs) data - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Computational Tools for Stem Cell Biology"

    Article Title: Computational Tools for Stem Cell Biology

    Journal: Trends in biotechnology

    doi: 10.1016/j.tibtech.2016.05.010

    Computational stem cell biology tools
    Figure Legend Snippet: Computational stem cell biology tools

    Techniques Used: Gene Expression, DNA Methylation Assay, Genome Wide, Expressing, Next-Generation Sequencing, Microarray, Construct, Modification

    Related Articles

    Real-time Polymerase Chain Reaction:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Gene Expression:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Next-Generation Sequencing:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Microarray:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    DNA Methylation Assay:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Genome Wide:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Expressing:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Construct:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.

    Modification:

    Article Title: Computational Tools for Stem Cell Biology
    Article Snippet: Theoretically possible to extend to RNA-Seq, qPCR. http://benvenisty.huji.ac.il/teratoscore.php KeyGene Gene expression profile (Affymetrix, Illumina), next-generation sequencing (NGS) data Human NGS data from 21 fetal organs Predicts tissue of origin, identity of stem cell derivatives, and estimates a developmental stage. http://www.keygenes.nl/ CellNet Gene expression profile (Affymetrix and Illumina BeadArray microarray data) Human, mouse Gene expression profile of 20 cell/tissue types Assesses similarity to 20 cell and tissue types, measures the extent to which a cell type specific GRN is established, and predicts TFs that can enable cell fate change.



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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