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Waibhav Tembe

Researcher at Translational Genomics Research Institute

Publications -  36
Citations -  5632

Waibhav Tembe is an academic researcher from Translational Genomics Research Institute. The author has contributed to research in topics: Whole genome sequencing & Genomics. The author has an hindex of 25, co-authored 36 publications receiving 4907 citations. Previous affiliations of Waibhav Tembe include University of California, Los Angeles.

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Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays.

TL;DR: High-density single nucleotide polymorphism genotyping microarrays are used to demonstrate the ability to accurately and robustly determine whether individuals are in a complex genomic DNA mixture, and suggest future research efforts into assessing the viability of previously sub-optimal DNA sources due to sample contamination.
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Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills, +374 more
- 03 Feb 2011 - 
TL;DR: A map of unbalanced SVs is constructed based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations, and serves as a resource for sequencing-based association studies.

A map of human genome variation from population-scale sequencing

Richard Durbin, +361 more
TL;DR: The pilot phase of the 1000 Genomes Project is presented, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms, and the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants are described.
Journal ArticleDOI

Whole-genome sequencing of multiple myeloma from diagnosis to plasma cell leukemia reveals genomic initiating events, evolution, and clonal tides

TL;DR: This longitudinal WGS characterization of the natural history of a high-risk myeloma patient demonstrated tumor heterogeneity at diagnosis with shifting dominance of tumor clones over time and has also identified potential mutations contributing to myelomagenesis as well as transformation from myelomas to overt extramedullary disease such as sPCL.