Tag Archives: Statistical method

Single cell RNA sequencing (scRNAseq) technique is becoming increasingly popular for unbiased and high-resolutional transcriptome analysis of heterogeneous cell populations. Despite its many advantages, scRNAseq, like any other genomic sequencing technique, is susceptible to the influence of confounding effects. Controlling ...

Through RNA sequencing, researchers can measure which genes are expressed in each individual cell of a sample. A new statistical method allows researchers to infer different developmental processes from a cell mixture consisting of asynchronous stages. This finding has been ...

With the advances in high-throughput DNA sequencing technologies, RNA-seq has rapidly emerged as a powerful tool for the quantitative analysis of gene expression and transcript variant discovery. In comparative experiments, differential expression analysis is commonly performed on RNA-seq data to ...

High-throughput RNA sequencing (RNA-Seq) enables quantification and identification of transcripts at single-base resolution. Recently, longer sequence reads become available thanks to the development of new types of sequencing technologies as well as improvements in chemical reagents for the Next Generation ...

RNA-sequencing (RNA-seq) has rapidly become the method of choice in many genome-wide transcriptomic studies. To meet the high expectations posed by this technology, powerful computational techniques are needed to translate the measurements into biological and biomedical understanding. A number of ...

Principal Scientist, Translational Medicine Job American Biotechnology Company (Seattle, WA) …working with complex biological datasets from various sources (transcriptomics microarray, RNA – Seq , proteomics, epigenomics, cytometry) – Fluency with basic … Ivy Exec (12/15/14) Head of Bioinformatics Calico Labs ...

By  Nysia George, Ph.D., and Tom Powers Practical, hands-on laboratory work is important for all college students who want to become scientists—but, for many of them, such experiences are out of reach.That’s one of the reasons why every summer, our ...

RNA-seq data can now be analyzed just as easily as microarray data In recent years, transcriptomic profiling via next generation sequencing (RNA-seq) has emerged as both a technical and cost-effective alternative to arrays. Qlucore Omics Explorer 3.0 supports direct import ...

Statistical methods development for differential expression analysis of RNA sequencing (RNA-seq) requires software tools to assess accuracy and error rate control. Since true differential expression status is often unknown in experimental datasets, artificially-constructed datasets must be utilized, either by generating ...