A new study aimed at explaining differential susceptibility to viral epidemics reveals that ancestry and associated genetic variation can explain...
Read More »CisPi – a transcriptomic score for disclosing cis-acting disease-associated lincRNAs
Long intergenic noncoding RNAs (lincRNAs) have risen to prominence in cancer biology as new biomarkers of disease. Those lincRNAs transcribed from active cis-regulatory elements (enhancers) have provided mechanistic insight into cis-acting...
Read More »RNA-Seq confirms curable state between single and widespread cancers
n 1995, two University of Chicago-based cancer specialists suggested there was an intermediate state—somewhere between curable localized cancers and lethal widespread disease—for patients with metastatic cancer. Those physicians, Samuel...
Read More »CountClust – visualizing the structure of RNA-seq expression data using grade of membership models
Grade of membership models, also known as “admixture models”, “topic models” or “Latent Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have membership in multiple clusters. These models are widely used in population genetics to ...
Read More »CountClust – Visualizing the Structure of RNA-seq Expression Data using Grade of Membership Models
Grade of membership models, also known as “admixture models”, “topic models” or “Latent Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have membership in multiple clusters. These models are widely used in population genetics to ...
Read More »Clustering RNA-seq expression data using grade of membership models
Grade of membership models, also known as “admixture models”, “topic models” or “Latent Dirichlet Allocation”, are a generalization of cluster models that allow each sample to have membership in multiple clusters. These models are widely used in population genetics to ...
Read More »WASP – allele-specific software for robust molecular quantitative trait locus discovery
Allele-specific sequencing reads provide a powerful signal for identifying molecular quantitative trait loci (QTLs), but they are challenging to analyze and are prone to technical artifacts. Here researchers from the University of Chicago and Stanford University describe WASP, a suite ...
Read More »Sequencing tRNA
High-throughput RNA sequencing (RNA-seq) has revolutionized our understanding of gene expression. Widely used RNA-seq methods start with adaptor ligation and cDNA synthesis of biological RNA samples followed by PCR amplification to generate sequencing libraries. These standard methods work well for ...
Read More »RNA measurements may yield less insight about gene expression than assumed
from University of Chicago, Science Life by Kevin Jiang The majority of RNA expression differences between individuals have no connection to the abundance of a corresponding protein, report scientists from the University of Chicago and Stanford University in Science on ...
Read More »Postdoctoral Positions available in computational regulatory genomics at University of Chicago
Multiple positions are available for highly motivated postdoctoral scholars in the group of Barbara Stranger at The University of Chicago, in the Section of Genetic Medicine, and the Institute of Genomics and Systems Biology. The researcher(s) will be involved in ...
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