Literature DB >> 34356520

FLAME: A Web Tool for Functional and Literature Enrichment Analysis of Multiple Gene Lists.

Foteini Thanati1, Evangelos Karatzas1, Fotis A Baltoumas1, Dimitrios J Stravopodis2, Aristides G Eliopoulos3,4,5, Georgios A Pavlopoulos1,4.   

Abstract

Functional enrichment is a widely used method for interpreting experimental results by identifying classes of proteins/genes associated with certain biological functions, pathways, diseases, or phenotypes. Despite the variety of existing tools, most of them can process a single list per time, thus making a more combinatorial analysis more complicated and prone to errors. In this article, we present FLAME, a web tool for combining multiple lists prior to enrichment analysis. Users can upload several lists and use interactive UpSet plots, as an alternative to Venn diagrams, to handle unions or intersections among the given input files. Functional and literature enrichment, along with gene conversions, are offered by g:Profiler and aGOtool applications for 197 organisms. FLAME can analyze genes/proteins for related articles, Gene Ontologies, pathways, annotations, regulatory motifs, domains, diseases, and phenotypes, and can also generate protein-protein interactions derived from STRING. We have validated FLAME by interrogating gene expression data associated with the sensitivity of the distal part of the large intestine to experimental colitis-propelled colon cancer. FLAME comes with an interactive user-friendly interface for easy list manipulation and exploration, while results can be visualized as interactive and parameterizable heatmaps, barcharts, Manhattan plots, networks, and tables.

Entities:  

Keywords:  functional enrichment; multiple gene lists; network analysis

Year:  2021        PMID: 34356520     DOI: 10.3390/biology10070665

Source DB:  PubMed          Journal:  Biology (Basel)        ISSN: 2079-7737


  6 in total

1.  DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update).

Authors:  Brad T Sherman; Ming Hao; Ju Qiu; Xiaoli Jiao; Michael W Baseler; H Clifford Lane; Tomozumi Imamichi; Weizhong Chang
Journal:  Nucleic Acids Res       Date:  2022-03-23       Impact factor: 19.160

2.  PREGO: A Literature and Data-Mining Resource to Associate Microorganisms, Biological Processes, and Environment Types.

Authors:  Haris Zafeiropoulos; Savvas Paragkamian; Stelios Ninidakis; Georgios A Pavlopoulos; Lars Juhl Jensen; Evangelos Pafilis
Journal:  Microorganisms       Date:  2022-01-26

3.  Darling: A Web Application for Detecting Disease-Related Biomedical Entity Associations with Literature Mining.

Authors:  Evangelos Karatzas; Fotis A Baltoumas; Ioannis Kasionis; Despina Sanoudou; Aristides G Eliopoulos; Theodosios Theodosiou; Ioannis Iliopoulos; Georgios A Pavlopoulos
Journal:  Biomolecules       Date:  2022-03-30

Review 4.  Approaches in Gene Coexpression Analysis in Eukaryotes.

Authors:  Vasileios L Zogopoulos; Georgia Saxami; Apostolos Malatras; Konstantinos Papadopoulos; Ioanna Tsotra; Vassiliki A Iconomidou; Ioannis Michalopoulos
Journal:  Biology (Basel)       Date:  2022-07-06

5.  Spatial Transcriptomic Analysis Reveals Associations between Genes and Cellular Topology in Breast and Prostate Cancers.

Authors:  Lujain Alsaleh; Chen Li; Justin L Couetil; Ze Ye; Kun Huang; Jie Zhang; Chao Chen; Travis S Johnson
Journal:  Cancers (Basel)       Date:  2022-10-04       Impact factor: 6.575

6.  Drug genetic associations with COVID-19 manifestations: a data mining and network biology approach.

Authors:  Theodosia Charitou; Panagiota I Kontou; Ioannis A Tamposis; Georgios A Pavlopoulos; Georgia G Braliou; Pantelis G Bagos
Journal:  Pharmacogenomics J       Date:  2022-09-28       Impact factor: 3.245

  6 in total

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