The Michigan Portal for the Analysis of NGS data portalis an open-access online resource that provides the scientific community with access to the results of a large-scale computational analysis of thousands of high-throughput RNA sequencing (RNA-seq) samples. The portal provides ...
Read More »scRNA-Seq provides insight into causes of male infertility
Nearly 1 in 8 couples in the U.S. face infertility, and about half of those cases can be attributed to semen abnormalities in the male partner. As the root causes often remain a mystery, new research into the...
Read More »MACAU – Differential Expression Analysis for RNAseq using Poisson Mixed Models
Identifying differentially expressed (DE) genes from RNA sequencing (RNAseq) studies is among the most common analyses in genomics. However, RNAseq DE analysis presents several statistical and computational challenges, including over-dispersed read counts and, in some settings, sample non-independence. Previous count-based ...
Read More »IsoFunc – Functional Annotation of Human Protein-Coding Splice Variant Using Multiple Instance Learning
The vast majority of human multiexon genes undergo alternative splicing and produce a variety of splice variant transcripts and proteins, which can perform different functions. These protein-coding splice variants (PCSVs) greatly increase the functional diversity of proteins. Most functional annotation ...
Read More »TACO – a computational method to reconstruct a consensus transcriptome from multiple RNA-seq data sets
Accurate transcript structure and abundance inference from RNA sequencing (RNA-seq) data is foundational for molecular discovery. Here researchers from the University of Michigan present a new meta-assembly method, Transcriptome Assemblies Combined into One (TACO), as a robust solution for leveraging the ...
Read More »scPLS – Controlling for confounding effects in single cell RNA sequencing studies using both control and target genes
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 ...
Read More »RNA-Enrich – gene set enrichment (GSE) testing for RNA-Seq data
Tests for differential gene expression with RNA-seq data have a tendency to identify certain types of transcripts as significant, e.g. longer and highly-expressed transcripts. This tendency has been shown to bias gene set enrichment (GSE) testing, which is used to ...
Read More »Genetic landscape can impact treatment for children with rare, aggressive cancer
ANN ARBOR, Mich. — For children with rare, aggressive and advanced cancer, precision medicine may help doctors determine their best treatment options, a new study finds. Using information from a patient’s entire genome helped suggest personalized treatment options for nearly ...
Read More »Capture RNA-seq for degraded and clinical RNA
RNA-seq by poly(A) selection is currently the most common protocol for whole transcriptome sequencing as it provides a broad, detailed, and accurate view of the RNA landscape. Unfortunately, the utility of poly(A) libraries is greatly limited when the input RNA ...
Read More »MIsoMine – a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse
Products of multiexon genes, especially in higher organisms, are a mixture of isoforms with different or even opposing functions, and therefore need to be treated separately. However, most studies and available resources such as Gene Ontology provide only gene-level function ...
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