RNA-seq into the toolkit

New insights into the Plasmodium vivax transcriptome using RNA-Seq

Historically seen as a benign disease, it is now becoming clear that Plasmodium vivax can cause significant morbidity. Effective control strategies targeting P. vivax malaria is hindered by our limited understanding of vivax biology. Here we established the P. vivax transcriptome of the Intraerythrocytic Developmental Cycle (IDC) of two clinical isolates in high resolution by Illumina HiSeq pla...

Insight into the Molecular Basis of Addiction from ChIP-Seq and RNA-Seq

RNA-Seq Bayesian Network Exploration of Immune System in Bovine

Background: The stress is one of main factors effects on production system. Several factors (both genetic and environmental elements) regulate immune response to stress. Objectives: In order to determine the major immune system regulatory genes underlying stress responses, a learning Bayesian network approach for those regulatory genes was applied to RNA-...

End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data.

RNA-seq protocols that focus on transcript termini are well suited for applications in which template quantity is limiting. Here we show that, when applied to end-sequencing data, analytical methods designed for global RNA-seq produce computational artifacts. To remedy this, we created the End Sequence Analysis Toolkit (ESAT). As a test, we first compared end-sequencing and bulk RNA-seq using R...

End Sequence Analysis ToolKit (ESAT) expands the extractable from single cell RNA-seq experiments

RNA­seq protocols that focus on transcript termini are well­suited for applications in which template quantity is limiting. Here we show that, when applied to end­sequencing data, analytical methods designed for global RNA­seq produce computational artifacts. To remedy this we created the End Sequence Analysis Toolkit (ESAT). As a test, we first compared end­sequencing and bulk RNA­seq using RN...