The UCLA–developed diagnostic technology has helped keep the university and other large client organizations operational during the pandemic. After much of Los Angeles went dark in the spring of 2020
Read More »Act-Seq – detecting activated cell populations using single-cell rna-seq
Single-cell RNA sequencing offers a promising opportunity for probing cell types mediating specific behavioral functions and the underlying molecular programs. However, this has been hampered by a long-standing issue in transcriptional profiling of dissociated cells, specifically the transcriptional perturbations that ...
Read More »Introduction to Single Cell RNA-Seq
UCLA – Computing Technologies Research Lab Streaming From Network Analysis Short Course – Systems Biology Analysis Methods for Genomic Data
Read More »A different perspective, in contrast to traditional correlation analyses, its about capturing transcriptomic similarity
Comparative transcriptomics has gained increasing popularity in genomic research thanks to the development of high-throughput technologies including microarray and next-generation RNA sequencing that have generated numerous transcriptomic data. An important question is to understand the conservation and divergence of biological ...
Read More »Having fun with single-cell RNA-seq
Computational Genomics Summer Institute 2017 Research Talk: “Having fun with single-cell RNA-seq: imputation and manifolds” Dana Pe’er, Sloan Kettering Institute Institute for Pure and Applied Mathematics, UCLA July 10, 2017 For more information:Â http://computationalgenomics.bioinformatics.ucla.edu/
Read More »Personal genome approach to RNA-Seq read alignment enables the discovery of splicing variations
RNA-seq is a powerful and popular technology for studying posttranscriptional regulation of gene expression, such as alternative splicing. The first step in analyzing RNA-seq data is to map the sequenced reads back to the genome. However, commonly used RNA-seq aligners ...
Read More »HapIso – Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads
Sequencing of RNA provides the possibility to study an individual’s transcriptome landscape and determine allelic expression ratios. Single-molecule protocols generate multi-kilobase reads longer than most transcripts allowing sequencing of complete haplotype isoforms. This allows partitioning the reads into two parental ...
Read More »RNA-Seq reveals the timeline of transcriptomic changes that suggests potential for autism intervention over the first decade of life
from Nature Reviews Neuroscience by Natasha Bray – Many genetic factors are thought to contribute to autism spectrum disorder (ASD); however, whether the effects of these factors converge on common functional pathways is not clear. Now, Geschwind and colleagues at ...
Read More »Featured RNA-Seq Job – Staff Research Associate II
Job Title:Â Staff Research Associate II UCLA Title:Â Staff Res Assoc II-Nonexempt Job Num.:Â H86625 Work Hours:Â Monday – Friday, day shift Work Location:Â 44-133 CHS Job Duties A computational biologist focusing on performing computational and statistical analysis of transcriptomic and epigenomic sequencing data acquired ...
Read More »Total RNA Sequencing reveals microbial communities in human blood and disease specific effects
An increasing body of evidence suggests an important role of the human microbiome in health and disease. Researchers at UCLA have developed a ‘lost and found’ pipeline, which examines high quality unmapped sequence reads for microbial taxonomic classification. Using this ...
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