Blar i Faculty of Medicine på tidsskrift "BMC Bioinformatics"
Viser treff 1-6 av 6
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Detecting diferentially methylated regions using a fast wavelet‑based approach to functional association analysis
(Journal article; Peer reviewed, 2021)Background We present here a computational shortcut to improve a powerful wavelet-based method by Shim and Stephens (Ann Appl Stat 9(2):665–686, 2015. https://doi.org/10.1214/14-AOAS776) called WaveQTL that was originally ... -
Gel2DE - A software tool for correlation analysis of 2D gel electrophoresis data
(Peer reviewed; Journal article, 2013-07-06)Background: Two-dimensional gel electrophoresis (2DE) is a powerful technique for studying protein isoforms and their modifications. Existing commercial 2D image analysis tools rely on spot detection that limits analysis ... -
Haplin power analysis: a software module for power and sample size calculations in genetic association analyses of family triads and unrelated controls
(Peer reviewed; Journal article, 2019-04-02)Background: Log-linear and multinomial modeling offer a flexible framework for genetic association analyses of offspring (child), parent-of-origin and maternal effects, based on genotype data from a variety of child-parent ... -
Integrating protein structural dynamics and evolutionary analysis with Bio3D
(Peer reviewed; Journal article, 2014-12-10)Background: Popular bioinformatics approaches for studying protein functional dynamics include comparisons of crystallographic structures, molecular dynamics simulations and normal mode analysis. However, determining how ... -
Prediction of indirect interactions in proteins
(Peer reviewed; Journal article, 2006-03-22)Background: Both direct and indirect interactions determine molecular recognition of ligands by proteins. Indirect interactions can be defined as effects on recognition controlled from distant sites in the proteins, e.g. ... -
Wavelet Screening: a novel approach to analyzing GWAS data
(Journal article; Peer reviewed, 2021)Background Traditional methods for single-variant genome-wide association study (GWAS) incur a substantial multiple-testing burden because of the need to test for associations with a vast number of single-nucleotide ...