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Flame (v2.0): advanced integration and interpretation of functional enrichment results from multiple sources. | LitMetric

AI Article Synopsis

  • Flame (v2.0) is a web tool designed for functional enrichment analysis, allowing users to identify and visualize gene or protein functions using results from multiple popular applications like g: Profiler and Enrichr.* -
  • The tool offers interactive visualizations such as heatmaps and scatter plots, and features capabilities like analyzing multiple gene lists simultaneously, text-mining for gene extraction, and working with single nucleotide polymorphisms (SNPs).* -
  • Compared to its previous version, Flame (v2.0) expands support to over 14,436 organisms, enhancing its usability for biological research.*

Article Abstract

Unlabelled: Functional enrichment is the process of identifying implicated functional terms from a given input list of genes or proteins. In this article, we present Flame (v2.0), a web tool which offers a combinatorial approach through merging and visualizing results from widely used functional enrichment applications while also allowing various flexible input options. In this version, Flame utilizes the aGOtool, g: Profiler, WebGestalt, and Enrichr pipelines and presents their outputs separately or in combination following a visual analytics approach. For intuitive representations and easier interpretation, it uses interactive plots such as parameterizable networks, heatmaps, barcharts, and scatter plots. Users can also: (i) handle multiple protein/gene lists and analyse union and intersection sets simultaneously through interactive UpSet plots, (ii) automatically extract genes and proteins from free text through text-mining and Named Entity Recognition (NER) techniques, (iii) upload single nucleotide polymorphisms (SNPs) and extract their relative genes, or (iv) analyse multiple lists of differentially expressed proteins/genes after selecting them interactively from a parameterizable volcano plot. Compared to the previous version of 197 supported organisms, Flame (v2.0) currently allows enrichment for 14 436 organisms.

Availability And Implementation: Web Application: http://flame.pavlopouloslab.info. Code: https://github.com/PavlopoulosLab/Flame. Docker: https://hub.docker.com/r/pavlopouloslab/flame.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423032PMC
http://dx.doi.org/10.1093/bioinformatics/btad490DOI Listing

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