promoter
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Application note: A comprehensive method protocol for annotation and integrated functional understanding of lncRNAs
Long non-coding RNAs (lncRNAs) are of fundamental biological importance; however, their functional role is often unclear or loosely defined as experimental characterization is challenging and bioinformatic methods are limited. We developed a novel integrated method protocol for the annotation and detailed functional characterization of lncRNAs within the genome. It combines annotation, normalization and gene expression with sequence-structure conservation, functional interactome and promoter analysis. Our protocol allows an analysis based on the tissue and biological context, and is powerful in functional characterization of experimental and clinical RNA-Seq datasets including existing lncRNAs. This is demonstrated on the uncharacterized lncRNA GATA6-AS1 in dilated cardiomyopathy.
You can find here the supplement information describing in detail the workflow combining gensearchNGS with other tools used in the work published here:
A comprehensive method protocol for annotation and integrated functional understanding of lncRNAs
Meik Kunz, Beat Wolf, Maximilian Fuchs, Jan Christoph, Ke Xiao, Thomas Thum, David Atlan, Hans-Ulrich Prokosch, Thomas Dandekar
Briefings in Bioinformatics, Volume 21, Issue 4, July 2020, Pages 1391–1396, https://doi.org/10.1093/bib/bbz066
Published: 03 October 2019 -
Application note: Homozygous Inversion on Chromosome 13 Involving SGCG Detected by Short Read Whole Genome Sequencing in a Patient Suffering from Limb-Girdle Muscular Dystrophy
This paper describes a method to detect a long (around 350kb) homozygous inversion by WGS using GensearchNGS.
You can find the work published here:
Homozygous Inversion on Chromosome 13 Involving SGCG Detected by Short Read Whole Genome Sequencing in a Patient Suffering from Limb-Girdle Muscular Dystrophy
Authors: Natalie Pluta, Sabine Hoffjan, Frederic Zimmer, Cornelia Köhler, Thomas Lücke, Jennifer Mohr, Matthias Vorgerd, Hoa Huu Phuc Nguyen, David Atlan, Beat Wolf, Ann-Kathrin Zaum and Simone Rost
Publication: Genes 2022, 13(10), 1752; https://doi.org/10.3390/genes13101752