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Blocker Displacement Amplification-Enhanced Sanger Sequencing for Low-Frequency Mutation Detection in Cancer Tissues

Journal (Genetics)

Blocker Displacement Amplification-Enhanced Sanger Sequencing for Low-Frequency Mutation Detection in Cancer Tissues

1Kindstar Global Technology Inc., 2Yongzhou Central Hospital
PCR Amplification for Sensitive Detection of Tumor Mutations in the Extracted Cancer DNA Samples

Journal (Genetics)

PCR Amplification for Sensitive Detection of Tumor Mutations in the Extracted Cancer DNA Samples

1Kindstar Global Technology Inc., 2Yongzhou Central Hospital
DNA Extraction from Cancer Tissues for the Detection of Low-Frequency Mutations Using Blocker Displacement Amplification Technology

Journal (Genetics)

DNA Extraction from Cancer Tissues for the Detection of Low-Frequency Mutations Using Blocker Displacement Amplification Technology

1Kindstar Global Technology Inc., 2Yongzhou Central Hospital
Preparation, Pre-Processing, and Harmonization of Data for MOFA Analysis

Journal (Genetics)

Preparation, Pre-Processing, and Harmonization of Data for MOFA Analysis

1Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, 2Department of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, 3Medizinische Klinik und Poliklinik I University Hospital Ludwig-Maximilian University, 4German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance
Running MOFA for Unsupervised Data Exploration of Complex Multi-Omics Datasets

Journal (Genetics)

Running MOFA for Unsupervised Data Exploration of Complex Multi-Omics Datasets

1Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, 2Department of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, 3Medizinische Klinik und Poliklinik I University Hospital Ludwig-Maximilian University, 4German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance
Wild-type Blocking PCR Combined with Sanger Sequencing for Detection of Low-frequency Somatic Mutation

Journal (Genetics)

Wild-type Blocking PCR Combined with Sanger Sequencing for Detection of Low-frequency Somatic Mutation

1Kindstar Global Technology Inc., 2Yongzhou Central Hospital
Quantification Pipeline for Evaluating Protein Distribution with Varied Nuclear Organization Patterns in Human T Lymphocytes

Journal (Genetics)

Quantification Pipeline for Evaluating Protein Distribution with Varied Nuclear Organization Patterns in Human T Lymphocytes

1Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi" (INGM), 2SEMM, European School of Molecular Medicine, 3Department of Biosciences, University of Milan, 4T-One Therapeutics Srl
Integration of the Construct Present in the Synthetic Rho<sup>-</sup> Strain into the Yeast Mitochondrial Genome by Cytoduction

Journal (Genetics)

Integration of the Construct Present in the Synthetic Rho- Strain into the Yeast Mitochondrial Genome by Cytoduction

1Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México
Generation of a Synthetic Yeast Rho<sup>-</sup> Strain by Biolistic Transformation for Mutagenetic Studies

Journal (Genetics)

Generation of a Synthetic Yeast Rho- Strain by Biolistic Transformation for Mutagenetic Studies

1Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México
Selection of Yeast Synthetic Rho<sup>-</sup> Colonies for Mutagenetic Studies

Journal (Genetics)

Selection of Yeast Synthetic Rho- Colonies for Mutagenetic Studies

1Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México
Material Preparation for Biolistic Transformation of Yeast

Journal (Genetics)

Material Preparation for Biolistic Transformation of Yeast

1Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México
Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Journal (Genetics) | Methods Collections

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

1Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, 2Department of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, 3Medizinische Klinik und Poliklinik I University Hospital Ludwig-Maximilian University, 4German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance
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