In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic...
Read More »RNA-Seq identifies genetic ‘seeds’ of metastatic breast cancer
In the Journal of Clinical Investigation, UNC Lineberger researchers published their analysis of the genetic differences they discovered in patients’ primary breast cancers and their metastatic cancers...
Read More »Researchers use RNA-Seq to explore fusion genes in breast cancer
The advent of next generation sequencing technologies has boosted the interest in exploring the role of fusion genes in the development and progression of solid tumors. In breast cancer, most of the detected gene fusions seem to be “passenger” events ...
Read More »FGMD – A novel approach for functional gene module detection in cancer
With the increasing availability of multi-dimensional biological datasets for the same samples (i.e., gene expression, microRNAs, copy numbers, mutations, methylations), it has now become possible to systematically understand the regulatory mechanisms operating in a cancer cell. For this task, it ...
Read More »NYIT faculty members to develop novel direct RNA sequencing methods under multi-year NIH grant
NYIT (New York Institute of Technology) faculty members Shenglong Zhang, Ph.D., and Wenjia Li, Ph.D., have won a cutting edge research award (R21) from the National Institutes of Health’s National Human Genome Research Institute to develop novel direct RNA sequencing ...
Read More »MammaPrint breast cancer test moving from microarray to RNA-Seq
Agilent Technologies Inc. (NYSE: A) and Agendia, Inc. today jointly announced an agreement to expand their relationship to include the development of an RNA-Seq kit version of Agendia’s currently marketed MammaPrint and BluePrint tests. Agendia’s MammaPrint test provides High-Risk or ...
Read More »Power analysis for RNA-Seq differential expression studies
Sample size calculation and power estimation are essential components of experimental designs in biomedical research. It is very challenging to estimate power for RNA-Seq differential expression under complex experimental designs. Moreover, the dependency among genes should be taken into account ...
Read More »A comparison of normalization methods for differential expression analysis of RNA-seq data
Normalization is an essential step with considerable impact on high-throughput RNA sequencing (RNA-seq) data analysis. Although there are numerous methods for read count normalization, it remains a challenge to choose an optimal method due to multiple factors contributing to read ...
Read More »Discordant – identify differential correlation with sequencing data
Several methods have been developed to identify differential correlation (DC) between pairs of molecular features from -omics studies. Most DC methods have only been tested with microarrays and other platforms producing continuous and Gaussian-like data. Sequencing data is in the ...
Read More »Long intergenic non-coding RNA expression signature in human breast cancer
Breast cancer is a complex disease, characterized by gene deregulation. There is less systematic investigation of the capacity of long intergenic non-coding RNAs (lincRNAs) as biomarkers associated with breast cancer pathogenesis or several clinicopathological variables including receptor status and patient ...
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