high-throughput tag-sequencing (tag-seq) analysis by Search Results


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CH Instruments hichip
Hichip, supplied by CH Instruments, 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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Azenta atac seq
Atac Seq, supplied by Azenta, 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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CH Instruments chla-pet
Chla Pet, supplied by CH Instruments, 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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CH Instruments plac-seq
Plac Seq, supplied by CH Instruments, 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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Epigenomics ag hi-c
Hi C, supplied by Epigenomics ag, 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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Epigenomics ag tmt-based global proteomics
a Experimental workflow using scRNA-seq, multi-omics and ST, validated by RNAscope ISH and mIHC. b Demographic and clinical characteristics of 9 donors and related sample collection of tumor, peritumor, lymph node and peripheral blood (P121-P127 for scRNA-seq and multi-omics, and P128-P129 for ST). c UMAP distribution of single cells from 7 donors’ perioperative samples (P121-P127). d UMAP distribution of ST spots from 2 donors (P128-P129). e UMAP distribution of cell populations (247,515 cells from 22 peri-operative samples). T, T cells; NK, natural killer cells; B, B cells; myeloid, myeloid cells; endothelial, endothelial cells; fibroblast, fibroblast cells or hepatic stellate cells; M1, M2, M3, supra-clusters related to malignant cells. f UMAP distribution based on tumor type, cell cycle phase, tissue type. It shows an equilibrium distribution that was not affected by these factors. g UMAP distribution based on canonical marker gene of supra-clusters. h Bar plots of supra-clusters based on tissue type, patient, tumor type, cell cycle phase and cell number. ST, spatial <t>transcriptomics;</t> UMAP, uniform manifold approximation and projection; G1, gap 1 Phase; S, synthesis phase; G2M, gap 2 and mitotic phase. Mix, mixed and unassigned cells or clusters.
Tmt Based Global Proteomics, supplied by Epigenomics ag, 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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tmt-based global proteomics - by Bioz Stars, 2026-07
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Epigenomics ag rrbs
a Experimental workflow using scRNA-seq, multi-omics and ST, validated by RNAscope ISH and mIHC. b Demographic and clinical characteristics of 9 donors and related sample collection of tumor, peritumor, lymph node and peripheral blood (P121-P127 for scRNA-seq and multi-omics, and P128-P129 for ST). c UMAP distribution of single cells from 7 donors’ perioperative samples (P121-P127). d UMAP distribution of ST spots from 2 donors (P128-P129). e UMAP distribution of cell populations (247,515 cells from 22 peri-operative samples). T, T cells; NK, natural killer cells; B, B cells; myeloid, myeloid cells; endothelial, endothelial cells; fibroblast, fibroblast cells or hepatic stellate cells; M1, M2, M3, supra-clusters related to malignant cells. f UMAP distribution based on tumor type, cell cycle phase, tissue type. It shows an equilibrium distribution that was not affected by these factors. g UMAP distribution based on canonical marker gene of supra-clusters. h Bar plots of supra-clusters based on tissue type, patient, tumor type, cell cycle phase and cell number. ST, spatial <t>transcriptomics;</t> UMAP, uniform manifold approximation and projection; G1, gap 1 Phase; S, synthesis phase; G2M, gap 2 and mitotic phase. Mix, mixed and unassigned cells or clusters.
Rrbs, supplied by Epigenomics ag, 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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Average 90 stars, based on 1 article reviews
rrbs - by Bioz Stars, 2026-07
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CH Instruments chi-squared test
(a) Schematic representation of the integrated analysis workflow for identifying (causative SNP, TF, target gene) triplets. For inferring target genes (left part), eQTL analysis and a modified version of allele-specific expression analysis using the TCGA data are combined. For identifying causative SNPs and corresponding TFs (right part), epigenetics information, motif analysis and TF-target expression correlation analysis are used to filter the list of candidate causative <t>variants.</t> <t>ChIP-seq</t> data, allele-specific binding events and 3D chromatin interaction data are analysed when available. SNP: single-nucleotide polymorphism; eQTL: expression quantitative trait loci; LCASE: local chromosome allele-specific expression; LD: linkage disequilibrium; <t>DHS:</t> DNase I hypersensitive sites; TF: transcription factor; ASB: allele-specific binding; ChIA-PET: Chromatin Interaction Analysis by Paired-End Tag Sequencing; Hi-C: High-throughput chromosome conformation capture. (b) Visual illustration of the genomic analysis pipeline. Candidate SNPs are selected among the SNPs in strong LD with a GWAS SNP (yellow block) by overlapping with DHS (top track). The entire analysis is restricted to the topologically associated domain (TAD) containing the GWAS SNP.
Chi Squared Test, supplied by CH Instruments, 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/high-throughput+tag-sequencing+%28tag-seq%29+analysis+by/pmc05882544-34-38-43?v=CH+Instruments
Average 90 stars, based on 1 article reviews
chi-squared test - by Bioz Stars, 2026-07
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Epigenomics ag atac-seq
(a) Schematic representation of the integrated analysis workflow for identifying (causative SNP, TF, target gene) triplets. For inferring target genes (left part), eQTL analysis and a modified version of allele-specific expression analysis using the TCGA data are combined. For identifying causative SNPs and corresponding TFs (right part), epigenetics information, motif analysis and TF-target expression correlation analysis are used to filter the list of candidate causative <t>variants.</t> <t>ChIP-seq</t> data, allele-specific binding events and 3D chromatin interaction data are analysed when available. SNP: single-nucleotide polymorphism; eQTL: expression quantitative trait loci; LCASE: local chromosome allele-specific expression; LD: linkage disequilibrium; <t>DHS:</t> DNase I hypersensitive sites; TF: transcription factor; ASB: allele-specific binding; ChIA-PET: Chromatin Interaction Analysis by Paired-End Tag Sequencing; Hi-C: High-throughput chromosome conformation capture. (b) Visual illustration of the genomic analysis pipeline. Candidate SNPs are selected among the SNPs in strong LD with a GWAS SNP (yellow block) by overlapping with DHS (top track). The entire analysis is restricted to the topologically associated domain (TAD) containing the GWAS SNP.
Atac Seq, supplied by Epigenomics ag, 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/high-throughput+tag-sequencing+%28tag-seq%29+analysis+by/pmc10661180-60-25-42?v=Epigenomics+ag
Average 90 stars, based on 1 article reviews
atac-seq - by Bioz Stars, 2026-07
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Epigenomics ag wes
(a) Schematic representation of the integrated analysis workflow for identifying (causative SNP, TF, target gene) triplets. For inferring target genes (left part), eQTL analysis and a modified version of allele-specific expression analysis using the TCGA data are combined. For identifying causative SNPs and corresponding TFs (right part), epigenetics information, motif analysis and TF-target expression correlation analysis are used to filter the list of candidate causative <t>variants.</t> <t>ChIP-seq</t> data, allele-specific binding events and 3D chromatin interaction data are analysed when available. SNP: single-nucleotide polymorphism; eQTL: expression quantitative trait loci; LCASE: local chromosome allele-specific expression; LD: linkage disequilibrium; <t>DHS:</t> DNase I hypersensitive sites; TF: transcription factor; ASB: allele-specific binding; ChIA-PET: Chromatin Interaction Analysis by Paired-End Tag Sequencing; Hi-C: High-throughput chromosome conformation capture. (b) Visual illustration of the genomic analysis pipeline. Candidate SNPs are selected among the SNPs in strong LD with a GWAS SNP (yellow block) by overlapping with DHS (top track). The entire analysis is restricted to the topologically associated domain (TAD) containing the GWAS SNP.
Wes, supplied by Epigenomics ag, 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/high-throughput+tag-sequencing+%28tag-seq%29+analysis+by/pmc10661180-60-43-42?v=Epigenomics+ag
Average 90 stars, based on 1 article reviews
wes - by Bioz Stars, 2026-07
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Epigenomics ag lc-ms
(a) Schematic representation of the integrated analysis workflow for identifying (causative SNP, TF, target gene) triplets. For inferring target genes (left part), eQTL analysis and a modified version of allele-specific expression analysis using the TCGA data are combined. For identifying causative SNPs and corresponding TFs (right part), epigenetics information, motif analysis and TF-target expression correlation analysis are used to filter the list of candidate causative <t>variants.</t> <t>ChIP-seq</t> data, allele-specific binding events and 3D chromatin interaction data are analysed when available. SNP: single-nucleotide polymorphism; eQTL: expression quantitative trait loci; LCASE: local chromosome allele-specific expression; LD: linkage disequilibrium; <t>DHS:</t> DNase I hypersensitive sites; TF: transcription factor; ASB: allele-specific binding; ChIA-PET: Chromatin Interaction Analysis by Paired-End Tag Sequencing; Hi-C: High-throughput chromosome conformation capture. (b) Visual illustration of the genomic analysis pipeline. Candidate SNPs are selected among the SNPs in strong LD with a GWAS SNP (yellow block) by overlapping with DHS (top track). The entire analysis is restricted to the topologically associated domain (TAD) containing the GWAS SNP.
Lc Ms, supplied by Epigenomics ag, 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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MBL Life science anti-fmrp pab rn016p
High throughput identification of FMRP targeted mRNAs
Anti Fmrp Pab Rn016p, supplied by MBL Life science, 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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Image Search Results


a Experimental workflow using scRNA-seq, multi-omics and ST, validated by RNAscope ISH and mIHC. b Demographic and clinical characteristics of 9 donors and related sample collection of tumor, peritumor, lymph node and peripheral blood (P121-P127 for scRNA-seq and multi-omics, and P128-P129 for ST). c UMAP distribution of single cells from 7 donors’ perioperative samples (P121-P127). d UMAP distribution of ST spots from 2 donors (P128-P129). e UMAP distribution of cell populations (247,515 cells from 22 peri-operative samples). T, T cells; NK, natural killer cells; B, B cells; myeloid, myeloid cells; endothelial, endothelial cells; fibroblast, fibroblast cells or hepatic stellate cells; M1, M2, M3, supra-clusters related to malignant cells. f UMAP distribution based on tumor type, cell cycle phase, tissue type. It shows an equilibrium distribution that was not affected by these factors. g UMAP distribution based on canonical marker gene of supra-clusters. h Bar plots of supra-clusters based on tissue type, patient, tumor type, cell cycle phase and cell number. ST, spatial transcriptomics; UMAP, uniform manifold approximation and projection; G1, gap 1 Phase; S, synthesis phase; G2M, gap 2 and mitotic phase. Mix, mixed and unassigned cells or clusters.

Journal: Communications Biology

Article Title: Single-cell and spatial architecture of primary liver cancer

doi: 10.1038/s42003-023-05455-0

Figure Lengend Snippet: a Experimental workflow using scRNA-seq, multi-omics and ST, validated by RNAscope ISH and mIHC. b Demographic and clinical characteristics of 9 donors and related sample collection of tumor, peritumor, lymph node and peripheral blood (P121-P127 for scRNA-seq and multi-omics, and P128-P129 for ST). c UMAP distribution of single cells from 7 donors’ perioperative samples (P121-P127). d UMAP distribution of ST spots from 2 donors (P128-P129). e UMAP distribution of cell populations (247,515 cells from 22 peri-operative samples). T, T cells; NK, natural killer cells; B, B cells; myeloid, myeloid cells; endothelial, endothelial cells; fibroblast, fibroblast cells or hepatic stellate cells; M1, M2, M3, supra-clusters related to malignant cells. f UMAP distribution based on tumor type, cell cycle phase, tissue type. It shows an equilibrium distribution that was not affected by these factors. g UMAP distribution based on canonical marker gene of supra-clusters. h Bar plots of supra-clusters based on tissue type, patient, tumor type, cell cycle phase and cell number. ST, spatial transcriptomics; UMAP, uniform manifold approximation and projection; G1, gap 1 Phase; S, synthesis phase; G2M, gap 2 and mitotic phase. Mix, mixed and unassigned cells or clusters.

Article Snippet: To expand the borders of the molecular architecture of PLC, bulk tissue multi-omics were performed on 15 matched solid tissues (P121-P127), ranging from genome to metabolome: assay for transposase-accessible chromatin with high throughput sequencing (ATAC-seq) and reduced representation bisulfite sequencing (RRBS) in epigenomics, whole-exome sequencing (WES) in genomics, whole RNA-seq in transcriptomics, isobaric tandem mass tags (TMT)-based global proteomics, and LC-MS in metabolomics (Fig. ).

Techniques: Biomarker Discovery, RNAscope, Marker

(a) Schematic representation of the integrated analysis workflow for identifying (causative SNP, TF, target gene) triplets. For inferring target genes (left part), eQTL analysis and a modified version of allele-specific expression analysis using the TCGA data are combined. For identifying causative SNPs and corresponding TFs (right part), epigenetics information, motif analysis and TF-target expression correlation analysis are used to filter the list of candidate causative variants. ChIP-seq data, allele-specific binding events and 3D chromatin interaction data are analysed when available. SNP: single-nucleotide polymorphism; eQTL: expression quantitative trait loci; LCASE: local chromosome allele-specific expression; LD: linkage disequilibrium; DHS: DNase I hypersensitive sites; TF: transcription factor; ASB: allele-specific binding; ChIA-PET: Chromatin Interaction Analysis by Paired-End Tag Sequencing; Hi-C: High-throughput chromosome conformation capture. (b) Visual illustration of the genomic analysis pipeline. Candidate SNPs are selected among the SNPs in strong LD with a GWAS SNP (yellow block) by overlapping with DHS (top track). The entire analysis is restricted to the topologically associated domain (TAD) containing the GWAS SNP.

Journal: Cancer research

Article Title: Integrative genomic analysis predicts causative cis-regulatory mechanisms of the breast cancer-associated genetic variant rs4415084

doi: 10.1158/0008-5472.CAN-17-3486

Figure Lengend Snippet: (a) Schematic representation of the integrated analysis workflow for identifying (causative SNP, TF, target gene) triplets. For inferring target genes (left part), eQTL analysis and a modified version of allele-specific expression analysis using the TCGA data are combined. For identifying causative SNPs and corresponding TFs (right part), epigenetics information, motif analysis and TF-target expression correlation analysis are used to filter the list of candidate causative variants. ChIP-seq data, allele-specific binding events and 3D chromatin interaction data are analysed when available. SNP: single-nucleotide polymorphism; eQTL: expression quantitative trait loci; LCASE: local chromosome allele-specific expression; LD: linkage disequilibrium; DHS: DNase I hypersensitive sites; TF: transcription factor; ASB: allele-specific binding; ChIA-PET: Chromatin Interaction Analysis by Paired-End Tag Sequencing; Hi-C: High-throughput chromosome conformation capture. (b) Visual illustration of the genomic analysis pipeline. Candidate SNPs are selected among the SNPs in strong LD with a GWAS SNP (yellow block) by overlapping with DHS (top track). The entire analysis is restricted to the topologically associated domain (TAD) containing the GWAS SNP.

Article Snippet: In the second approach of analysing differential k -mer enrichment (with k = L ), we tested for a difference in the occurrence frequencies of x and x a between TF ChIP-seq peaks and control regions sampled from breast cancer cell line DHS (Chi-squared test).

Techniques: Modification, Expressing, ChIP-sequencing, Binding Assay, ChIA Pet Assay, Paired-end Tag, Sequencing, Hi-C, High Throughput Screening Assay, Blocking Assay

High throughput identification of FMRP targeted mRNAs

Journal: Nature reviews. Neuroscience

Article Title: The Molecular Biology of FMRP: New Insights into Fragile X Syndrome

doi: 10.1038/s41583-021-00432-0

Figure Lengend Snippet: High throughput identification of FMRP targeted mRNAs

Article Snippet: Tran 2019 ( 43 ) , Human , postmortem adult human frontal cortex , Anti-FMRP pAb (MBL, RN016P), CLIP-seq , 4895 , binds to A-to-I edited site; predominantly 3’UTR , ACUG , , Synaptic functions, (focus was editing in autism, not FMRP targets).

Techniques: High Throughput Screening Assay, Binding Assay, Sequencing, Transmission Assay, Activity Assay, Membrane, Transfection, FLAG-tag, Modification