chromium singlecell rna-seq Search Results


86
10X Genomics 10x chromium singlecell 3 rnaseq kit
10x Chromium Singlecell 3 Rnaseq Kit, 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
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10X Genomics 10x genomics chromium system
10x Genomics Chromium System, 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/chromium+singlecell+rna-seq/chromium+system/pm39019868-50-3-3
Average 86 stars, based on 1 article reviews
10x genomics chromium system - by Bioz Stars, 2026-10
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10X Genomics chromium single cell system
Chromium Single Cell System, 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/chromium+singlecell+rna-seq/cellranger/pmc06626982__mmc2-197-8-11
Average 86 stars, based on 1 article reviews
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V3 1, 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
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Chromium Single Cell 30 Kit, 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
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10X Genomics scrna seq
Scrna Seq, 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
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10X Genomics gemcode chromium instrument
Gemcode Chromium Instrument, 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
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10X Genomics chromium single cell multiome
Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with <t>multiome</t> sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality
Chromium Single Cell Multiome, 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/chromium+singlecell+rna-seq/expression+gene+slides+spatial+visium/pm39869481-34-51-49
Average 86 stars, based on 1 article reviews
chromium single cell multiome - by Bioz Stars, 2026-10
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90
INFINIUM Inc 850k methylationepic beadchip
Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with <t>multiome</t> sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality
850k Methylationepic Beadchip, supplied by INFINIUM Inc, 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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10X Genomics chromium v3 1 kit
Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with <t>multiome</t> sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality
Chromium V3 1 Kit, 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/chromium+singlecell+rna-seq/1+chromium+kit+v3/pm40623986-263-9-7
Average 86 stars, based on 1 article reviews
chromium v3 1 kit - by Bioz Stars, 2026-10
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90
Promega tmrdirect (1:1000)
Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with <t>multiome</t> sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality
Tmrdirect (1:1000), supplied by Promega, 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/chromium+singlecell+rna-seq/tmrdirect++1+1000+/pm34798047-796-82-101
Average 90 stars, based on 1 article reviews
tmrdirect (1:1000) - by Bioz Stars, 2026-10
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90
Promega halotag
Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with <t>multiome</t> sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality
Halotag, supplied by Promega, 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/chromium+singlecell+rna-seq/halotag/pm34798047-796-103-104
Average 90 stars, based on 1 article reviews
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Image Search Results


Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with multiome sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality

Journal: STAR protocols

Article Title: Comprehensive guide for epigenetics and transcriptomics data quality control.

doi: 10.1016/j.xpro.2025.103607

Figure Lengend Snippet: Figure 1 depicts the schematic workflow throughout this study that aimed to develop exposure-specific signatures. Host response characterization to various exposures was achieved through different assays. Epigenomic assays reveal the underlying mechanisms controlling genomic expression while transcrip- tomic assays quantify actively expressed genes. Different assays were able to infer different aspects of exposure. RNA sequencing was able to identify pathogen exposure. Assays interrogating methylation patterns were able to predict time since exposure.23 ATAC sequencing revealed changes in chromatin accessibility to be associated with symptom severity. Combining epigenomics and transcriptomic as- says with multiome sequencing revealed gene regulatory networks and circuitry associated with host response.24 Previously, QC metrics were determined for all assays at a good/pass/fail categorization. Singularity pipelines were developed for each assay type to output assay-specific QC metrics for each individual sample.25 These QC metrics cover a variety of attributes relating to sample quality

Article Snippet: The 11 assays selected include a wide variety of transcriptomics and epigenomics techniques including assay for transposase-accessible chromatin using sequencing (ATAC-seq),12 single-cell ATAC-seq (scATAC-seq),13 ChIPmentation,14 Infinium 850K MethylationEPIC BeadChip,15 methylated DNA immunoprecipitation sequencing (MeDIPseq,16 multiplexed indexed T7 (Mint) chromatin immunoprecipitation (ChIP) sequencing (Mint-ChIP-seq),17 micro ribonucleic acid (RNA) sequencing (miRNAseq),18 10X Genomics chromium single-cell multiome (scMultiome) scATAC-seq and singlecell RNA sequencing (scRNA-seq), bulk RNA sequencing (RNA-seq),19 scRNA-seq20 or singular 2 STAR Protocols 6, 103607, March 21, 2025 All epigenetic and transcriptomic signatures developed from PBMC samples from high quality sequencing.

Techniques: Expressing, RNA Sequencing, Methylation, Sequencing