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. 2018 Sep 19;8:326. doi: 10.3389/fcimb.2018.00326

Table 2.

Statistical and bioinformatics analyses performed in published articles in the leishmaniasis field that employed RNA-seq and proteomics techniques.

Authors Year DOI Statistical methods Enrichment analysis methods Network-based method
RNA-seq
Alcolea et al., 2018 2018 10.1016/j.parint.2018.03.008 Geneious
Osman et al., 2017 2017 10.1371/journal.pntd.0005527 edgeR Ingenuity Pathway Analysis, GSEA
Masoudzadeh et al., 2017 2017 10.1016/j.actatropica.2017.08.016 edgeR Gene Ontology website, GSEA
Aoki et al., 2017 2017 10.1371/journal.pntd.0006026 t-test on FPKM-values estimated by Cufflinks Performed list-based enrichment analysis using KEGG as database without specifying tool.
Iantorno et al., 2017 2017 10.1128/mBio.01393-17 edgeR
Cuypers et al., 2017 2017 10.1038/s41598-017-03987-0 DESeq2 BiNGO, GSEA
Fernandes et al., 2016 2016 10.1128/mBio.00027-16 Voom/limma ConsensusPathDB, Goseq
Christensen et al., 2016 2016 10.1371/journal.pntd.0004992 Voom/limma GSEA WGCNA
Dillon et al., 2015 2015 10.1093/nar/gkv656 Voom/limma ConsensusPathDB, Goseq
Willis et al., 2014 2014 10.4049/jimmunol.1303216 Voom/limma
Maretti-Mira et al., 2012 2012 10.1371/journal.pntd.0001816 CuffDiff Ingenuity Pathway Analysis
PROTEOMICS
Menezes et al., 2013 2013 10.1016/j.micinf.2013.04.005 Sequest algorithm within Bioworks software Ingenuity Pathway Analysis Ingenuity Pathway Analysis
Singh et al., 2015 2015 10.1128/IAI.02833-14 ProteinPilot Gene Ontology
Goldman-Pinkovich et al., 2016 2016 10.1371/journal.ppat.1005494 Proteome Discoverer; MaxQuant

–, did not perform.