A5101770385- Cancer Genomics and Diagnostics
- Single-cell and spatial transcriptomics
- Pancreatic and Hepatic Oncology Research
- Microbial Metabolic Engineering and Bioproduction
- Cancer-related gene regulation
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Fungal and yeast genetics research
- Lymphoma Diagnosis and Treatment
Harvard University
2018
Massachusetts General Hospital
2018
Stanford University
2017
National Cancer Institute
2010
Analysis of cell-free DNA (cfDNA) is promising for broad applications in clinical settings, but with significant bias towards late-stage cancers. Although recent studies have discussed the diverse and degraded nature cfDNA molecules, little known about its impact on practice analysis.We developed single-strand library preparation hybrid-capture-based sequencing (SLHC-seq) to analysis fragments. Next we used SLHC-seq perform profiling 112 pancreatic cancer patients, results were compared 13...
Article13 July 2017Open Access Transparent process Quantitative analysis of protein interaction network dynamics in yeast Albi Celaj orcid.org/0000-0002-5888-772X Departments Molecular Genetics and Computer Science, University Toronto, ON, Canada Donnelly Centre, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Search for more papers by this author Ulrich Schlecht Stanford Genome Technology Center, University, Palo Alto, CA, USA Department Biochemistry, School Medicine, Stanford,...
Analysis of cell-free DNA (cfDNA) is promising for broad applications in clinical settings, but with significant bias towards late-stage cancers. Although recent studies have discussed the diverse and degraded nature cfDNA molecules, little known about its impact on practice analysis. Here we reported a new targeted sequencing by combining single-strand library preparation target capture (SLHC-seq). By applying technology plasma from pancreatic cancer patients, achieved higher efficiency...