Effectiveness of Antioxidant Gene Therapy in Delaying Retinal Degeneration
Published in Molecular Therapy, 2015
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Posts by Collection
blog
publications
Delaying Retinal Degeneration in a Mouse Model of Geographic Atrophy: An Antioxidant Gene Therapy Approach
Published in IOVS, 2015
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RNA editing in nascent RNA affects pre-mRNA splicing
Published in Genome Research, 2018
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Regulation of RNA editing by RNA-binding proteins in human cells
Published in Communications biology, 2019
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Allele-specific binding of RNA-binding proteins reveals functional genetic variants in the RNA
Published in Nature Communications, 2019
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Allele-specific binding of RNA-binding proteins reveals functional genetic variants in the RNA
Published in Nature Communications, 2019
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Perspectives on ENCODE
Published in Nature, 2020
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RNA editing in cancer impacts mRNA abundance in immune response pathways
Published in Genome Biology, 2020
Key words: RNA editing, Cancer, EMT, immunity
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scAllele: A versatile tool for the detection and analysis of variants in scRNA-seq
Published in Science Advances, 2022
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LINE-associated cryptic splicing induces dsRNA-mediated interferon response and tumor immunity
Published in bioRxiv, 2023
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L-GIREMI uncovers RNA editing sites in long-read RNA-seq
Published in Genome Biology, 2023
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talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Variant Calling with GATK
Technical workshop, UCLA QCBio Collaboratory, 2020
As part of the B.I.G. (Bruins in Genomics) summer program, the QCBio Institute at UCLA offers undergraduate students an opportunity to engage in a highly immersive research program. Workshops were provided to train the students in advanced methods of genomics data analysis. The workshop I taught consisted of three three-hour sessions covering a comprehensive variant caller pipeline using the GATK suite of tools.
Single cell RNA-sequencing data analysis with R
Technical workshop, UCLA QCBio Collaboratory, 2022
This workshop is designed to familiarize participants with the fundamental concepts and algorithms used in the analysis of single-cell RNA-seq (scRNA-seq) data. Its primary objective is to provide attendees the skills necessary to independently conduct data analysis on their own datasets. The workshop covers the most common steps of a typical scRNA-seq data analysis pipeline, including the creation of gene count matrices, quality control, data normalization, feature selection, dimensionality reduction, cell clustering, and annotation. Throughout this workshop, we employ the Seurat package for performing these data analysis steps. Moreover, we delve into the mathematical and statistical principles underpinning these procedures, providing a comprehensive understanding and rationale for the entire pipeline.