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Dmitry Velmeshev, PhD profile page


Dr. Dmitry Velmeshev is a postdoctoral research fellow at the University of California, San Francisco. Velmeshev received his PhD from the University of Miami, where he studied molecular mechanisms of autism spectrum disorder. He then joined the laboratory of Dr. Arnold Kriegstein at UCSF. His research focuses on applying single-cell genomics and bioinformatics techniques to understand how specific cell types change during human brain development and in disease, especially neurodevelopmental disorders.


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Published Content
Total: 8
Turquoise and orange electric signals making up a human brain.
Listicle

Sequencing the Brain

Download this listicle to learn more about bulk tissue genomics and single-cell RNA-seq analysis of the mammalian brain and investigating cell type-specific changes in brain disorders
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How To Guide

How To Address NGS Challenges

Download this guide to learn how to select the appropriate NGS method and sequencing platform, deal with samples of variable quality, and set up and manage the data analysis pipeline.
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How To Guide

How To Optimize Next-Generation Sequencing Workflows

Download this guide to learn more about techniques such as bulk tissue RNA sequencing, single-nucleus RNA sequencing and whole-genome DNA sequencing.
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Listicle

Applications of Single-Cell Sequencing

Over recent years, single-cell sequencing has become a method ubiquitously used across several different areas of biological research. Why have so many researchers so rapidly adopted this relatively novel set of techniques and how can they be applied?
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Listicle

5 Specialized Techniques for Fragment-Based Drug Discovery

In this listicle, we will discuss the principles of FBDD, how it compares to other drug discovery approaches, as well as highlighting various techniques that allow for lead compound identification with FBDD.
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Article

Recent Advances and Applications of Single-Cell Sequencing

Here, we review the most commonly adopted technologies and workflows available for single-cell sequencing and discuss current research studies adopting such approaches.
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Article

Recent Advances in Single-Cell Genomics Techniques

Single-cell genomics methods, such as single cell RNA sequencing (scRNA-seq), involve labeling biomolecules originating from individual cells, therefore enabling high-throughput molecular analysis at single-cell resolution. This article explores the recent advances in single-cell genomics techniques, and the applications of such technologies.
Article

Whole-Exome Sequencing at the Dawn of Personalized Medicine

Deciphering the first complete sequence of the human genome in 2003 required a combined effort of scientists from 20 institutions and $3 billion of funding. Over the last decade, whole-exome sequencing (WES) established itself as a method that successfully balances cost and the output of useful data for diagnostic or research applications. Here, we look at how WES is used in both the laboratory and the clinic, and why it is a preferred method of choice in such areas.
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