statistical analysis system v.12.0 statistical package Search Results


software v12.0.3  (MacVector inc)
90
MacVector inc software v12.0.3
Software V12.0.3, supplied by MacVector 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/statistical+analysis+system+v%2E12%2E0+statistical+package/macvector+7+0+software/pmc04094002-233-8-9
Average 90 stars, based on 1 article reviews
software v12.0.3 - by Bioz Stars, 2026-09
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mathcad v.12.0  (Mathsoft Engineering Education)
90
Mathsoft Engineering Education mathcad v.12.0
Mathcad V.12.0, supplied by Mathsoft Engineering Education, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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mathcad v.12.0 - by Bioz Stars, 2026-09
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filemaker pro v12.0  (FileMaker Inc)
90
FileMaker Inc filemaker pro v12.0
Filemaker Pro V12.0, supplied by FileMaker 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/statistical+analysis+system+v%2E12%2E0+statistical+package/filemaker+pro+12/pmc04438337-105-12-13
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filemaker pro v12.0 - by Bioz Stars, 2026-09
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autodock vina v.1.2.0  (AUTODOCK GmbH)
90
AUTODOCK GmbH autodock vina v.1.2.0
Autodock Vina V.1.2.0, supplied by AUTODOCK GmbH, 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/statistical+analysis+system+v%2E12%2E0+statistical+package/autodock+vina/pmc10198052-88-12-12
Average 90 stars, based on 1 article reviews
autodock vina v.1.2.0 - by Bioz Stars, 2026-09
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v12.0  (SolidWorks Corp)
90
SolidWorks Corp v12.0
V12.0, supplied by SolidWorks Corp, 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/statistical+analysis+system+v%2E12%2E0+statistical+package/v12+0/10__2186_slash_jpr__jpr_d_23_00278-89-20-22
Average 90 stars, based on 1 article reviews
v12.0 - by Bioz Stars, 2026-09
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nls.multstart package  (MATHESON)
90
MATHESON nls.multstart package
Nls.Multstart Package, supplied by MATHESON, 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/statistical+analysis+system+v%2E12%2E0+statistical+package/nls+multstart+package/pm36450612-76-9-14
Average 90 stars, based on 1 article reviews
nls.multstart package - by Bioz Stars, 2026-09
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foldable acrylic iol 30-v 12,0/30-v 14,0  (Acrivet Inc)
90
Acrivet Inc foldable acrylic iol 30-v 12,0/30-v 14,0
Foldable Acrylic Iol 30 V 12,0/30 V 14,0, supplied by Acrivet 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/statistical+analysis+system+v%2E12%2E0+statistical+package/foldable+acrylic+iol+30+v+12+0+30+v+14+0/10__1590_slash_s0103___84782014000400018-87-4-10
Average 90 stars, based on 1 article reviews
foldable acrylic iol 30-v 12,0/30-v 14,0 - by Bioz Stars, 2026-09
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cell ranger atac software  (10X Genomics)
86
10X Genomics cell ranger atac software
(a) Genotype profiles for six example regions for cells <t>in</t> <t>scATAC-seq</t> data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on <t>ATAC-seq</t> data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).
Cell Ranger Atac Software, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/statistical+analysis+system+v%2E12%2E0+statistical+package/cellranger/pmc09127226-481-14-19
Average 86 stars, based on 1 article reviews
cell ranger atac software - by Bioz Stars, 2026-09
86/100 stars
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sigmaplot  (SYSTAT)
99
SYSTAT sigmaplot
(a) Genotype profiles for six example regions for cells <t>in</t> <t>scATAC-seq</t> data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on <t>ATAC-seq</t> data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).
Sigmaplot, supplied by SYSTAT, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/statistical+analysis+system+v%2E12%2E0+statistical+package/SigmaPlot+v14%2E0/pmc10380447-183-5-8
Average 99 stars, based on 1 article reviews
sigmaplot - by Bioz Stars, 2026-09
99/100 stars
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stata se 12 0  (STATA Corporation)
99
STATA Corporation stata se 12 0
(a) Genotype profiles for six example regions for cells <t>in</t> <t>scATAC-seq</t> data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on <t>ATAC-seq</t> data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).
Stata Se 12 0, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/statistical+analysis+system+v%2E12%2E0+statistical+package/STATA+12%2E0/pm28720293-71-6-8
Average 99 stars, based on 1 article reviews
stata se 12 0 - by Bioz Stars, 2026-09
99/100 stars
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clc genomic workbench  (CLC Bio)
90
CLC Bio clc genomic workbench
(a) Genotype profiles for six example regions for cells <t>in</t> <t>scATAC-seq</t> data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on <t>ATAC-seq</t> data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).
Clc Genomic Workbench, supplied by CLC Bio, 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/statistical+analysis+system+v%2E12%2E0+statistical+package/clc+genomic+workbench/pm39747056-300-15-19
Average 90 stars, based on 1 article reviews
clc genomic workbench - by Bioz Stars, 2026-09
90/100 stars
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clc genomics workbench v12.0  (CLC Bio)
90
CLC Bio clc genomics workbench v12.0
(a) Genotype profiles for six example regions for cells <t>in</t> <t>scATAC-seq</t> data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on <t>ATAC-seq</t> data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).
Clc Genomics Workbench V12.0, supplied by CLC Bio, 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/statistical+analysis+system+v%2E12%2E0+statistical+package/clc+genomics+workbench/ppr0202442-244-12-16
Average 90 stars, based on 1 article reviews
clc genomics workbench v12.0 - by Bioz Stars, 2026-09
90/100 stars
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Image Search Results


(a) Genotype profiles for six example regions for cells in scATAC-seq data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on ATAC-seq data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).

Journal: Nature biotechnology

Article Title: Integrative single-cell analysis of allele-specific copy number alterations and chromatin accessibility in cancer

doi: 10.1038/s41587-021-00911-w

Figure Lengend Snippet: (a) Genotype profiles for six example regions for cells in scATAC-seq data. The regions are taken from segmentation of matched whole exome sequencing (WES) data. Each dot represents a cell-specific (ρ^ir,θ^ir) pair. Cells are colored by annotation derived from peak signals25, Tumor: tumor cells, Fibro: fibroblasts, Endo: Endothelial cells]. Density contours are computed for each cell type (tumor, fibroblasts, endothelial) separately and shown by color on the plot. The lower-case letters following the chromosome number in the titles denote the ordered genomic segments. (b) Pipeline for multi-omics analysis integrating allele-specific copy number estimates and chromatin accessibility peak signals on ATAC-seq data. (c) Hierarchical clustering of cells by major haplotype proportion (θ^) allows the separation of tumor cells from normal cells, as well as the differentiation of a subclone within the tumor cells. The marker region on chr4a separating the two tumor subclones is highlighted. (d) Integrated visualization of chr4a major haplotype proportion (θ^ir) and genome-wide peak profile. Left: UMAP projection of the 788 cells in the dataset by their genome-wide peak profile, colored by θ^ir. The cell type annotation (endothelial, fibroblasts, and tumor cells) is labeled in the plot. Middle: UMAP projection of only the 308 tumor cells by their genome-wide peak profile shows two well-separated clusters: peaks1 and peaks2. Right: Density of θ^ir values for the peaks1 and peaks2 subpopulations. (e) Intratumor heterogeneity of SU008 is shaped by a subclonal LOH of chr4a followed by subsequent genome-wide chromatin remodeling leading to three subpopulations: Clone 1 which does not carry the chr4a LOH (peaks cluster 1), Clone 2 carrying the chr4a LOH (peaks cluster 1), and remodeled clone 2 (peaks cluster 2).

Article Snippet: Raw sequencing reads of the SNU601 scATAC-seq sample was de-multiplexed with the 10x Genomics Cell Ranger ATAC Software (v.1.2.0; https://support.10xgenomics.com/single-cell-atac/software/pipelines/latest/algorithms/overview ) and aligned to the GRCh38 reference genome.

Techniques: Sequencing, Derivative Assay, Biomarker Discovery, Marker, Genome Wide, Labeling