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Open AccessJournal ArticleDOI

g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update).

TLDR
G:Profiler is now capable of analysing data from any organism, including vertebrates, plants, fungi, insects and parasites, and the 2019 update introduces an extensive technical rewrite making the services faster and more flexible.
Abstract
Biological data analysis often deals with lists of genes arising from various studies. The g:Profiler toolset is widely used for finding biological categories enriched in gene lists, conversions between gene identifiers and mappings to their orthologs. The mission of g:Profiler is to provide a reliable service based on up-to-date high quality data in a convenient manner across many evidence types, identifier spaces and organisms. g:Profiler relies on Ensembl as a primary data source and follows their quarterly release cycle while updating the other data sources simultaneously. The current update provides a better user experience due to a modern responsive web interface, standardised API and libraries. The results are delivered through an interactive and configurable web design. Results can be downloaded as publication ready visualisations or delimited text files. In the current update we have extended the support to 467 species and strains, including vertebrates, plants, fungi, insects and parasites. By supporting user uploaded custom GMT files, g:Profiler is now capable of analysing data from any organism. All past releases are maintained for reproducibility and transparency. The 2019 update introduces an extensive technical rewrite making the services faster and more flexible. g:Profiler is freely available at https://biit.cs.ut.ee/gprofiler.

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Citations
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KOBAS-i: intelligent prioritization and exploratory visualization of biological functions for gene enrichment analysis.

TL;DR: A novel machine learning-based method was introduced, CGPS, which incorporates seven FCS tools and two PT tools into a single ensemble score and intelligently prioritizes the relevant biological pathways.
Journal ArticleDOI

WikiPathways: connecting communities.

TL;DR: The growth of WikiPathways over the last three years is shown, the new communities and collaborations of pathway authors and curators are highlighted, and various technologies to connect to external resources and initiatives are described.
Journal ArticleDOI

Cigarette Smoke Exposure and Inflammatory Signaling Increase the Expression of the SARS-CoV-2 Receptor ACE2 in the Respiratory Tract.

TL;DR: It is shown that cigarette smoke causes a dose-dependent upregulation of Angiotensin Converting Enzyme 2 (ACE2), the SARS-CoV-2 receptor, in rodent and human lungs, and this work identifies ACE2 as an interferon-stimulated gene in lung cells, suggesting that Sars-Cov-2 infections could create positive-feedback loops that increase ACE2 levels and facilitate viral dissemination.
References
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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.
Journal ArticleDOI

Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks

TL;DR: Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
Journal ArticleDOI

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

TL;DR: A significant update to one of the tools in this domain called Enrichr, a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries is presented.
Related Papers (5)
Trending Questions (1)
What is g:Profiler's g:SCS threshold?

The g:Profiler toolset uses a g:SCS threshold for functional enrichment analysis, but the specific threshold value is not mentioned in the paper.