Results 191 to 200 of about 52,554 (369)
PB1808: EPIGENETIC INHIBITOR SCREEN TO IDENTIFY THERAPEUTIC CANDIDATES FOR MNX1-OVEREXPRESSING AML
Simge Kelekci+13 more
doaj +1 more source
The X as Model for RNA's Niche in Epigenomic Regulation [PDF]
J. T. Lee
openalex +1 more source
OAS1 is an interferon‐induced gene that has been reported to be associated with the susceptibility of some infectious diseases, but there is little data on OAS1 single nucleotide polymorphism (SNP) associated with Systemic lupus erythematosus (SLE).
Xin Huang+4 more
wiley +1 more source
Epigenomic Modifications Predict Active Promoters and Gene Structure in Toxoplasma gondii
Mathieu Gissot+4 more
openalex +2 more sources
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massively parallel DNA sequencing [PDF]
Cristian Coarfa+5 more
openalex +1 more source
Ligand Recognition and Function of TAARs
The trace amine‐associated receptor (TAAR) family represents a highly conserved group of G protein‐coupled receptors (GPCRs) in vertebrates. TAARs specifically bind to different amine ligands and mediate a variety of physiological and behavioral processes.
Kang‐Ying Qian+3 more
wiley +1 more source
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional genome [PDF]
Thomas M. Asbury+3 more
openalex +1 more source
Long non‐coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis and therapy, highlighting the urgent need for computational methods to accelerate their comprehensive discovery. Here, to better predict and provide functional insight into cancer lncRNAs, a novel interpretable machine‐learning method (POCALI) is ...
Ziyan Rao+5 more
wiley +1 more source
Experimental approaches to the study of epigenomic dysregulation in ageing [PDF]
Reid F. Thompson+2 more
openalex +1 more source
Abstract In the evolution of vision, changes in the number of visual opsin genes, gene conversion, amino acid sequence mutations, and gene expression levels are common molecular mechanisms in how teleost fishes adapt to different aquatic (light) environments.
Zuzana Musilova, Fabio Cortesi
wiley +1 more source