InfernoRDN statistics

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Citations per year

Number of citations per year for the bioinformatics software tool InfernoRDN

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This map represents all the scientific publications referring to InfernoRDN per scientific context
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InfernoRDN specifications


Unique identifier OMICS_18443
Name InfernoRDN
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Operating system Windows
Programming languages Java
License GNU General Public License version 3.0
Computer skills Medium
Version 1.1.6109
Stability Stable
Maintained Yes




No version available


  • person_outline Matthew Monroe

Additional information

InfernoRDN is an updated version of Inferno (which used StatconnDCOM). InfernoRDN supersedes all previous DAnTE (Data Analysis Tool Extension), DanteR, and Inferno versions.

InfernoRDN citations


Insights into the Evolution of Host Association through the Isolation and Characterization of a Novel Human Periodontal Pathobiont, Desulfobulbus oralis

PMCID: 5850319
PMID: 29535201
DOI: 10.1128/mBio.02061-17
call_split See protocol

[…] d by summing together the intensities of all identified peptides and normalized by their respective protein lengths. Protein abundances were log2 transformed and median centered across all samples in InfernoRDN version 1.1 ().To investigate enriched secreted proteins, we performed Student’s t tests between the cell pellet and the spent medium (supernatant) samples using the Perseus software platfo […]


Quantitative proteome profile of water deficit stress responses in eastern cottonwood (Populus deltoides) leaves

PLoS One
PMCID: 5813909
PMID: 29447168
DOI: 10.1371/journal.pone.0190019

[…] lerance of 10 ppm; no retention time alignment. Protein abundances were calculated by summing together their respective peptide intensities. Log 2-transformed protein intensities were loaded into the InfernoRDN v1.1 [] software and values were normalized by median centering adjustments across the global dataset. […]


Multi omics Comparative Analysis Reveals Multiple Layers of Host Signaling Pathway Regulation by the Gut Microbiota

PMCID: 5655592
PMID: 29085914
DOI: 10.1128/mSystems.00107-17

[…] e Consortium database ( via the PRIDE partner repository () with data set identifier PXD003177.The protein group abundance values were log2 transformed, and InfernoRDN ( () was used to perform 3-way ANOVAs. As with the transcriptomics InfernoRDN 3-way ANOVAs (described above), each ANOVA produced a q value for eac […]


Enhanced differential expression statistics for data independent acquisition proteomics

Sci Rep
PMCID: 5517573
PMID: 28724900
DOI: 10.1038/s41598-017-05949-y

[…] om the peptide-level to improve the accuracy of the results by estimating the significance of median peptide-level p-values using the beta distribution. This approach is different from tools, such as InfernoRDN (formerly known as DAnTE), which roll up already the peptide-level abundances before applying any statistical testing. To demonstrate the benefits of ROPECA over the previously published ap […]


Specialized activities and expression differences for Clostridium thermocellum biofilm and planktonic cells

Sci Rep
PMCID: 5327387
PMID: 28240279
DOI: 10.1038/srep43583
call_split See protocol

[…] g Myrimatch v. 2.1. Peptide spectrum matches were filtered by IDPicker v.3 (FDR < 1%), assigned matched-ion intensities, and peptide abundance distributions normalized and assembled to proteins using InfernoRDN, as previously described. For statistical analyses, missing protein abundance values were first imputed with a distribution of values near the limit of detection and one way ANOVA performed […]


Bursaphelenchus xylophilus and B. mucronatus secretomes: a comparative proteomic analysis

Sci Rep
PMCID: 5150578
PMID: 27941947
DOI: 10.1038/srep39007
call_split See protocol

[…] umming all the filtered transitions from all the filtered peptides for a given protein and normalized to the total intensity within the same experimental condition. Correlation analysis, performed in InfernoRDN (version 1.1.5581.33355), was used to identify and excluded the less correlated replicates from the posterior analyses. Statistical analysis was performed in MarkerViewTM (version, […]

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