Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

A main bottleneck in proteomics is the downstream biological analysis of highly multivariate
quantitative protein abundance data generated using mass-spectrometry-based analysis …

At a high level, the tidyverse is a language for solving data science challenges with R code.
Its primary goal is to facilitate a conversation between a human and a computer about data …

After more than fifteen years of existence, the R package ape has continuously grown its
contents, and has been used by a growing community of users. The release of version 5.0 …

To the Editor—Rapid advances in DNA-sequencing and bioinformatics technologies in the
past two decades have substantially improved understanding of the microbial world. This …

Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes
methods for preprocessing, visualization, clustering, pseudotime and trajectory inference …

Abstract We present Rsubread, a Bioconductor software package that provides high-
performance alignment and read counting functions for RNA-seq reads. Rsubread is based …

High-throughput sequencing of mRNA (RNA-seq) has become the standard method for
measuring and comparing the levels of gene expression in a wide variety of species and …

Although complex inflammatory-like alterations are observed around the amyloid plaques of
Alzheimer's disease (AD), little is known about the molecular changes and cellular …

Abstract The Cancer Genome Atlas (TCGA) research network has made public a large
collection of clinical and molecular phenotypes of more than 10 000 tumor patients across …