14 Works

Additional file 5 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 5: Table S4. Non-HhaI amplicons used for cell selection.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430828.v1 Cite

Additional file 3 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 3: Table S2. Sequencing details per sample and condition.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430822.v1 Cite

Additional file 6 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 6: Table S5. PCR program for DNA digestion and targeted amplification steps.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430831 Cite

Additional file 6 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 6: Table S5. PCR program for DNA digestion and targeted amplification steps.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430831.v1 Cite

Additional file 3 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 3: Table S2. Sequencing details per sample and condition.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430822 Cite

Additional file 5 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 5: Table S4. Non-HhaI amplicons used for cell selection.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430828 Cite

Additional file 8 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 8: Table S7 and Table S8. Correlation analysis between target CpGs and gene expression.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430837.v1 Cite

Additional file 2 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 2: Table S1. Design overview of the panel of targeted regions.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430819 Cite

Additional file 4 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 4: Table S3. Complete list of CpG methylation-sensitive endonucleases potentially compatible with scTAM-seq.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430825 Cite

Additional file 7 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 7: Table S6. Doublet detection details per sample and condition.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430834.v1 Cite

Additional file 8 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 8: Table S7 and Table S8. Correlation analysis between target CpGs and gene expression.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430837 Cite

Additional file 2 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 2: Table S1. Design overview of the panel of targeted regions.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430819.v1 Cite

Additional file 4 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 4: Table S3. Complete list of CpG methylation-sensitive endonucleases potentially compatible with scTAM-seq.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430825.v1 Cite

Additional file 7 of scTAM-seq enables targeted high-confidence analysis of DNA methylation in single cells

Agostina Bianchi, Michael Scherer, Roser Zaurin, Kimberly Quililan, Lars Velten & Renée Beekman
Dataset published via figshare
Additional file 7: Table S6. Doublet detection details per sample and condition.
No citations were reported. No usage information was reported.
https://doi.org/10.6084/m9.figshare.21430834 Cite

Registration Year

  • 2022
    14

Resource Types

  • Dataset
    14

Affiliations

  • Saarland University
    14
  • Max Planck Institute for Informatics
    14
  • Barcelona Institute for Science and Technology
    14
  • Centro Nacional de Análisis Genómico
    14
  • Centre for Genomic Regulation
    14
  • Pompeu Fabra University
    14
  • August Pi i Sunyer Biomedical Research Institute
    14

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