Tag Archives: probabilistic model

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...

Various biases affect high-throughput sequencing read counts. Contrary to the general assumption, researchers from Ludwig-Maximilians-University Munich show that bias does not always cancel out when fold changes are computed and that bias affects more than 20% of genes that are ...

Small RNA sequencing is commonly used to identify novel miRNAs and to determine their expression levels in plants. There are several miRNA identification tools for animals such as miRDeep, miRDeep2 and miRDeep*. miRDeep-P was developed to identify plant miRNA using ...

RNA-sequencing data analysis method BitSeq developed by Academy Research Fellow Antti Honkela?s research group and University of Manchester researchers has been found to be the most accurate gene transcript expression estimation method in a large international assessment. The method is ...

DETONATE (DE novo TranscriptOme rNa-seq Assembly with or without the Truth Evaluation) consists of two component packages, RSEM-EVAL and REF-EVAL. Both packages are mainly intended to be used to evaluate de novo transcriptome assemblies, although REF-EVAL can be used to ...