Tag Archives: Carnegie Mellon University

Gene coexpression networks yield critical insights into biological processes, and single-cell RNA sequencing provides an opportunity to target...

Our body consists of numerous cells that are functioning continuously to keep us alive. Even though the cells in different organs contain almost similar DNA, they can perform different functions. While the cells perform different functions, their...

Enormous databases of short-read RNA-seq experiments such as the NIH Sequencing Read Archive are now available. These databases could answer many questions about condition-specific...

Generating detailed and accurate organogenesis models using single cell RNA-seq data remains a major challenge. Current methods have relied primarily on the assumption that decedent cells are similar...

Method should help scientists understand regulation of gene expression Computational biologists at Carnegie Mellon University have developed a more accurate computational method for reconstructing the full-length nucleotide sequences of the RNA products in cells, called transcripts, that transform information from ...

While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include questions about the best methods ...

Transcripts are frequently modified by structural variations, which leads to either a fused transcript of two genes (known as a fusion gene) or an insertion of intergenic sequence into a transcript. These modifications, called transcriptomic structural variants (TSV), can lead ...

Single cell RNA-Seq analysis holds great promise for elucidating the networks and pathways controlling cellular differentiation and disease. However, the analysis of time series single cell RNA-Seq data raises several new computational challenges. Cells at each time point are often ...

RNA-Seq is a widely used method for studying the behavior of genes under different biological conditions. An essential step in an RNA-Seq study is normalization, in which raw data are adjusted to account for factors that prevent direct comparison of ...

Technique detects technical biases that otherwise confound test results A new computational method can improve the accuracy of gene expression analyses, which are increasingly used to diagnose and monitor cancers and are a major tool for basic biological research. Researchers ...