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Alternative pre-mRNA splicing (AS) greatly diversifies metazoan transcriptomes and proteomes and is crucial for gene regulation. Current computational analysis methods of AS from Illumina RNA-sequencing data rely on preannotated libraries of known spliced...

How stem cells differentiate into the myriad diverse cell types that ultimately form tissues has been an area of extensive research. Studying this process at the population level unfortunately masks rare or...

Differential gene expression (DGE) analysis is one of the most common applications of RNA-sequencing (RNA-seq) data. This process allows for the elucidation of differentially expressed genes across two or more conditions and is widely used in many...

The IU Center for Genomics and Bioinformatics (CGB), seeks a Research Associate to serve in the bioinformatics core. Responsibilities include computational analysis of genomic sequencing data...

Genomic variants in both coding and non-coding sequences can have functionally important and sometimes deleterious effects on exon splicing of gene transcripts. For transcriptome profiling using RNA-seq, the accurate alignment of reads across exon...

RNA abundance is a powerful indicator of the state of individual cells. Single-cell RNA sequencing can reveal RNA abundance with high quantitative accuracy, sensitivity and throughput1. However, this approach captures only a static snapshot at a point in...

Estrogen receptor positive (ER+) breast cancer is the most common type of breast cancer, but resistance to therapy is common and eventual development of metastatic disease is a leading cause of death. In new research published...

A comprehensive RNA and DNA sequencing platform benefits late-stage and drug-resistant multiple myeloma patients by determining which drugs would work best for them, according to results from a clinical trial published in JCO Precision Oncology in...

Discovering new long non-coding RNAs (lncRNAs) has been a fundamental step in lncRNA-related research. Nowadays, many machine learning-based tools have been developed for lncRNA identification. However, many methods predict lncRNAs using sequence-derived features alone, which tend to display unstable performances ...

Cell lines form the backbone of cancer research. These individual groups of cells, typically collected from patients’ tumor samples and cultured to grow indefinitely in the laboratory, enable everything from basic genetic research to drug discovery...