Table 1.
Methodologies and tools commonly used in published systems studies of malaria immunity in humans
Objective | Methodology or Tool | Applicable to | Reference(s) |
---|---|---|---|
Determine differences between phenotypes or groups | Cufflinks/Cuffdiff | RNA-seq | Trapnell et al. 201210 |
DESeq2 | RNA-seq | Love et al. 201411 | |
edgeR | RNA-seq | Robinson et al. 201012 | |
empirical Bayes moderated t test (limma) | microarrays | Ritchie et al. 201513 | |
Power Law Global Error Model (PLGEM) | microarrays | Pavelka 200414 | |
significance analysis of microarrays (SAM) | microarrays | Tusher 200115 | |
voom-limma | RNA-seq | Ritchie et al 201513 | |
Deconvolution of transcriptomic data from heterogeneous tissue | Immune Response in Silico (IRIS) | transcriptomic datasets | Abbas et al. 200916 |
immunoStates | transcriptomic datasets | Vallania et al. 201817 | |
leukocyte signature matrix (LM22; CIBERSORT) | transcriptomic datasets | Newman et al. 201518 | |
Functional and pathways analysis | Camera | molecular -omic datasets | Wu and Smyth 201219 |
DAVID functional annotation | molecular -omic datasets | Huang et al. 200720,21 | |
Gene set enrichment analysis | molecular -omic datasets | Subramanian et al. 200522 | |
Ingenuity (for pathways analysis; proprietary) | molecular -omic datasets | Kramer et al. 2014 23 | |
Coincident extreme ranks in numerical observations (CERNO; implemented via tmod) | molecular -omic datasets | Zyla et al. 201924 | |
Gene Correlation Network analysis | weighted gene co-expression network analysis (WGCNA) | molecular -omic datasets | Langfelder and Horvath 200825 |
Integrative analysis with Plasmodium genome or proteome; protein arrays for antibody profiling | PlasmoDB Plasmodium genomics resource | Plasmodium -omic datasets | Aurrecoechea et al. 200926 |
Gene sets and transcriptional modules | blood transcription modules | transcriptomic datasets | Li et al. 201427 |
ImmuneSigDB (C7 collection) | transcriptomic datasets | Godec et al. 201628 | |
Kyoto Encyclopedia of Genes and Genomes (KEGG) | molecular -omic datasets | Kanehisa and Goto 200029 | |
modular transcriptional repertoire | transcriptomic datasets | Chaussabel et al. 201430 | |
Molecular signatures database (MSigDB) | molecular -omic datasets | Liberzon et al. 201131 | |
Platforms with accessible graphic user interfaces | DAVID Bioinformatics Resources 6.8 (https://david.ncifcrf.gov/home.jsp) | molecular -omic datasets | Huang et al. 200932 |
Galaxy (https://galaxyproject.org) | molecular -omic datasets | Afgan et al. 201633 | |
Gene set enrichment analysis (http://software.broadinstitute.org/gsea/index.jsp) | molecular -omic datasets | Subramanian et al. 200522 | |
Ingenuity (for pathways analysis; proprietary) | molecular -omic datasets | Kramer et al. 2014 23 | |
tmod (http://tmod.online/) | transcriptomic datasets | Zyla et al. 201924 |