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GeneTrail—advanced gene set enrichment analysis

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TLDR
GeneTrail's statistics module includes a novel dynamic-programming algorithm that improves the P-value computation of GSEA methods considerably and is freely accessible at http://genetrail.uni-sb.de.
Abstract
We present a comprehensive and efficient gene set analysis tool, called 'GeneTrail' that offers a rich functionality and is easy to use. Our web-based application facilitates the statistical evaluation of high-throughput genomic or proteomic data sets with respect to enrichment of functional categories. GeneTrail covers a wide variety of biological categories and pathways, among others KEGG, TRANSPATH, TRANSFAC, and GO. Our web server provides two common statistical approaches, 'Over-Representation Analysis' (ORA) comparing a reference set of genes to a test set, and 'Gene Set Enrichment Analysis' (GSEA) scoring sorted lists of genes. Besides other newly developed features, GeneTrail's statistics module includes a novel dynamic-programming algorithm that improves the P-value computation of GSEA methods considerably. GeneTrail is freely accessible at http://genetrail.bioinf.uni-sb.de.

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Dissertation

A Statistical Framework for Incorporating Multi-Omics Technologies for Precision Medicine

Yu Xiang Wang
TL;DR: This thesis addresses important statistical challenges in precision medicine, the clinical practice to customise treatment plans for individual patients using genetic information by proposing methods, frameworks and procedures that tackle the discovery, translation and implementation of precision medicine through the use of omics data.
Posted ContentDOI

GenFam: A new web application for gene family-based classification and functional enrichment analysis of plant genomes

TL;DR: GenFam as mentioned in this paper proposes a robust functional enrichment approach, GenFam, to classify as well as enrich overrepresented gene functions, based on gene family categories, which offers a unique approach to mine valuable, biologically-relevant information, beyond the conventional GO term based enrichment.

Heat shock protein gp96 drives dichotomous lymphocyte responses via dna methylome remodeling and stat1 signaling in antigen presenting cells

Lauren Kinner
TL;DR: A CD91-dependent mechanism through which gp96 controls dichotomous immune responses, relevant to the therapy of cancer and autoimmunity is defined, which hypothesizes that STAT1 activation in responding APCs is necessary for tumor rejection.
Journal ArticleDOI

GeneTrail: A Framework for the Analysis of High-Throughput Profiles.

TL;DR: The GeneTrail tool suite as discussed by the authors offers rich functionality for the analysis and visualization of (epi-)genomic, transcriptomic, miRNomic, and proteomic profiles, and includes various state-of-the-art methods to identify potentially deregulated biological processes and to detect driving factors within those deregulated processes.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

Gene Ontology: tool for the unification of biology

TL;DR: The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Book

Nonparametric Statistical Methods

TL;DR: An ideal text for an upper-level undergraduate or first-year graduate course, Nonparametric Statistical Methods, Second Edition is also an invaluable source for professionals who want to keep abreast of the latest developments within this dynamic branch of modern statistics.
Journal ArticleDOI

NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

TL;DR: The National Center for Biotechnology Information Reference Sequence (RefSeq) database provides a non-redundant collection of sequences representing genomic data, transcripts and proteins that pragmatically includes sequence data that are currently publicly available in the archival databases.
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