Correcting signal biases and detecting regulatory elements in STARR-seq data

Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species information

Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species information

Computational Identification of Tissue-Specific Splicing Regulatory Elements in Human Genes from RNA-Seq Data

Alternative splicing is a vital process for regulating gene expression and promoting proteomic diversity. It plays a key role in tissue-specific expressed genes. This specificity is mainly regulated by splicing factors that bind to specific sequences called splicing regulatory elements (SREs). Here, we report a genome-wide analysis to study alternative splicing on multiple tissues, including br...

Detecting and Correcting Contamination in Genetic Data by

DNA sample contamination is a serious problem in DNA sequencing studies, and may result in systematic genotype misclassification and false positive associations. While methods exist to detect and filter out cross-species contamination, few methods to detect within-species sample contamination are available. In this paper, we describe methods to identify withinspecies DNA sample contamination ba...

Detecting and correcting sensor drifts in long-term weather data.

Quality control of long-term monitoring data of thousands and millions of individual records as present in meteorological data is cumbersome. In such data series, sensor drifts, stalled values, and scale shifts may occur and potentially result in flawed conclusions if not noticed and handled properly. However, there is no established standard procedure to perform quality control of high-frequen...