High-throughput technologies are widely used, for example to assay genetic variants, gene
and protein expression, and epigenetic modifications. One often overlooked complication …

Recent high throughput experimental methods have been used to collect large biomedical
omics datasets. Clustering of single omic datasets has proven invaluable for biological and …

Background The analysis of microbial communities through DNA sequencing brings many
challenges: the integration of different types of data with methods from ecology, genetics …

Current practice in the normalization of microbiome count data is inefficient in the statistical
sense. For apparently historical reasons, the common approach is either to use simple …

Abstract We developed the Genomic Regions Enrichment of Annotations Tool (GREAT) to
analyze the functional significance of cis-regulatory regions identified by localized …

Efficient analysis of very large amounts of raw data for peptide identification and protein
quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here …

Genome-wide transcriptome analyses are routinely used to monitor tissue-, disease-and cell
type–specific gene expression, but it has been technically challenging to generate …

Behavioral Genetics, Fifth Edition provides an engaging and clear overview of human and
animal behavioral genetics that is designed to introduce students in the behavioral …

Ultra-high-throughput sequencing is emerging as an attractive alternative to microarrays for
genoty**, analysis of methylation patterns, and identification of transcription factor binding …

Background Gene-set enrichment analysis is a useful technique to help functionally
characterize large gene lists, such as the results of gene expression experiments. This …