Results 71 to 80 of about 5,931 (188)

EMdeCODE: a novel algorithm capable of reading words of epigenetic code to predict enhancers and retroviral integration sites and to identify H3R2me1 as a distinctive mark of coding versus non-coding genes [PDF]

open access: yes, 2017
Existence of some extra-genetic (epigenetic) codes has been postulated since the discovery of the primary genetic code. Evident effects of histone post-translational modifications or DNA methylation over the efficiency and the regulation of DNA processes
Santoni, Federico Andrea
core  

A KRAB/KAP1-miRNA Cascade Regulates Erythropoiesis Through Stage-Specific Control of Mitophagy [PDF]

open access: yes, 2013
During hematopoiesis, lineage- and stage-specific transcription factors work in concert with chromatin modifiers to direct the differentiation of all blood cells. We explored the role of KRAB-containing zinc finger proteins (KRAB-ZFPs) and their cofactor
Barde, I.   +10 more
core   +1 more source

RepeatOBserver: Tandem Repeat Visualisation and Putative Centromere Detection

open access: yesMolecular Ecology Resources, Volume 25, Issue 7, October 2025.
ABSTRACT Tandem repeats play an important role in centromere structure, subtelomeric regions, DNA methylation, recombination and the regulation of gene activity. Analysis of their distribution in genomes offers a potential means for predicting putative centromere locations, which continues to be a challenge for genome annotation.
Cassandra Elphinstone   +3 more
wiley   +1 more source

Machine learning reveals STAT motifs as predictors for GR-mediated gene repression

open access: yesComputational and Structural Biotechnology Journal, 2023
Glucocorticoids are potent immunosuppressive drugs, but long-term treatment leads to severe side-effects. While there is a commonly accepted model for GR-mediated gene activation, the mechanism behind repression remains elusive.
Barbara Höllbacher   +4 more
doaj   +1 more source

A reversible infinite HMM using normalised random measures [PDF]

open access: yes, 2014
We present a nonparametric prior over reversible Markov chains. We use completely random measures, specifically gamma processes, to construct a countably infinite graph with weighted edges.
Ghahramani, Zoubin   +2 more
core   +1 more source

Reusable, extensible, and modifiable R scripts and Kepler workflows for comprehensive single set ChIP-seq analysis [PDF]

open access: yes, 2016
BACKGROUND: There has been an enormous expansion of use of chromatin immunoprecipitation followed by sequencing (ChIP-seq) technologies. Analysis of large-scale ChIP-seq datasets involves a complex series of steps and production of several specialized ...
Mark Bieda   +2 more
core   +1 more source

The Non‐Coding Regulatory Variant rs2863002 at chr11p11.2 Increases Neuroblastoma Risk by Affecting HSD17B12 Expression and Lipid Metabolism

open access: yesAdvanced Science, Volume 12, Issue 33, September 4, 2025.
The SNP rs2863002 at the 11p11.2 locus, identified through GWAS, is associated with an increased risk of neuroblastoma. The rs2863002‐C allele impairs the binding of the transcription factor GATA3, resulting in upregulation of the HSD17B12 gene.
Teresa Maiorino   +20 more
wiley   +1 more source

ChIPulate: A comprehensive ChIP-seq simulation pipeline.

open access: yesPLoS Computational Biology, 2019
ChIP-seq (Chromatin Immunoprecipitation followed by sequencing) is a high-throughput technique to identify genomic regions that are bound in vivo by a particular protein, e.g., a transcription factor (TF).
Vishaka Datta   +2 more
doaj   +1 more source

BayesPeak: Bayesian analysis of ChIP-seq data

open access: yesBMC Bioinformatics, 2009
Background High-throughput sequencing technology has become popular and widely used to study protein and DNA interactions. Chromatin immunoprecipitation, followed by sequencing of the resulting samples, produces large amounts of data that can be used to ...
Stark Rory   +3 more
doaj   +1 more source

Software for Computing and Annotating Genomic Ranges [PDF]

open access: yes, 2013
We describe Bioconductor infrastructure for representing and computing on annotated genomic ranges and integrating genomic data with the statistical computing features of R and its extensions. At the core of the infrastructure are three packages: IRanges,
Aboyoun, Patrick   +7 more
core   +3 more sources

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