Chemical probing methods are crucial to our understanding of the structure and function of RNA molecules. The majority of chemical methods used to probe RNA structure report on Watson-Crick pairing, but tertiary structure parameters such as solvent...
Read More »The impact of variable RNA-sequencing depth on gene expression signatures and target compound robustness
Gene expression profiling can uncover biologic mechanisms underlying disease and is important in drug development. RNA sequencing (RNA-seq) is routinely used to assess gene expression, but costs...
Read More »Featured RNA-Seq Job – Research Assistant
A research assistant job in statistical analysis (including algorithm design and evaluation) of large-scale single-cell and bulk RNA-seq data...
Read More »Detecting eQTLs from high-dimensional sequencing data using recount2
useR! International R User 2017 Conference – July 7, 2017 Kai Kammers – Johns Hopkins University School of Medicine
Read More »JHU Researchers Launch “recount,” the Largest Summarized Collection of Human RNA Sequencing Data to Date
Public sequencing data archives are growing by petabases — millions of billions of DNA letters — per year. But for typical researchers, using these data requires huge downloads and laborious re-analysis. Most researchers aren’t equipped for this, so valuable data ...
Read More »Its time to update incomplete annotations to include splicing
Gene annotations, such as those in GENCODE, are derived primarily from alignments of spliced cDNA sequences and protein sequences. The impact of RNA-seq data on annotation has been confined to major projects like ENCODE and Illumina Body Map 2.0. Researchers ...
Read More »Flexible expressed region analysis for RNA-seq with derfinder
Differential expression analysis of RNA sequencing (RNA-seq) data typically relies on reconstructing transcripts or counting reads that overlap known gene structures. Researchers at Johns Hopkins University previously introduced an intermediate statistical approach called differentially expressed region (DER) finder that seeks ...
Read More »BIRD – Global Prediction of Chromatin Accessibility Using RNA-seq from Small Number of Cells
Conventional high-throughput technologies for mapping regulatory element activities such as ChIP-seq, DNase-seq and FAIRE-seq cannot analyze samples with small number of cells. The recently developed ATAC-seq allows regulome mapping in small-cell-number samples, but its signal in single cell or samples ...
Read More »Rcorrector – error correction for Illumina RNA-seq reads
Next-generation sequencing of cellular RNA (RNA-seq) is rapidly becoming the cornerstone of transcriptomic analysis. However, sequencing errors in the already short RNA-seq reads complicate bioinformatics analyses, in particular alignment and assembly. Error correction methods have been highly effective for whole-genome ...
Read More »ALS Ice Bucket Challenge Funds RNA-Seq Experiments
from Gizmodo by Jennifer Ouellette Last year’s hugely popular “ice bucket challenge” saw celebrities pouring buckets of ice water over their heads to help fight Lou Gehrig’s Disease (ALS). Skeptics dismissed it as mere “slacktivism,” but researchers told us that ...
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