Analysis of Pan-Omics Data in Human Interactome Network (APODHIN)
Nupur BiswasiD, Krishna G. KumariD, Sarpita Bose, Raisa Bera, Saikat ChakrabartiiD
Abstract
Analysis of Pan-Omics Data in Human Interactome Network (APODHIN) is a platform for integrative analysis of transcriptomics, proteomics, genomics, and metabolomics data for identification of key molecular players and their interconnections exemplified in cancer scenario. APODHIN works on a meta-interactome networks consisting of human protein-protein interactions, miRNA-target gene regulatory interactions, and transcription factor-target gene regulatory relationships, respectively. In its first module, APODHIN maps proteins/genes/miRNAs from different omics data in its meta-interactome network and extracts the network of biomolecules that are differentially altered in the given scenario. Using this context specific, filtered interaction network, APODHIN identifies topologically important nodes (TINs) implementing graph theory based network topology analysis and further justifies their role via pathway and disease marker mapping. These TINs could be used as prospective diagnostic and/or prognostic biomarkers and/or potential therapeutic targets. In its second module, APODHIN attempts to identify cross pathway regulatory and protein-protein interaction (PPI) links connecting signaling proteins, transcription factors, and miRNAs to metabolic enzymes via utilization of single-omics and/or pan-omics data and implementation of mathematical modeling. Interconnections between regulatory components such as signaling proteins/TFs/miRNAs and metabolic pathways need to be elucidated more elaborately in order to understand the role of oncogene and tumor suppressors in regulation of metabolic reprogramming during cancer. APODHIN platform contains a web server component where users can upload single/multi omics data to identify TINs and cross-pathway links. Tabular, graphical and 3D network representations of the identified TINs and cross-pathway links are provided for better appreciation. Additionally, this platform also provides a database part where cancer specific, single and/or multi omics dataset centric meta-interactome networks, TINs, and cross-pathway links are provided for cervical, ovarian, and breast cancers, respectively. APODHIN platform is freely available at http://www.hpppi.iicb.res.in/APODHIN/home.html.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 17
- FWCI
- 0.73
- Field percentile
- top 34%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Metabolic and signalling network map integration: application to cross-talk studies and omics data analysis in cancer
Nicolas Sompairac, Jennifer Modamio, … Inna Kuperstein·BMC BioinformaticsPeer-reviewed·Apr 1, 2019
- Unveiling Hidden Connections in Omics Data via pyPARAGON: an Integrative Hybrid Approach for Disease Network Construction
Muslum Kaan Arici, Nurcan Tunçbağ·Briefings in BioinformaticsPeer-reviewed·Jul 25, 2024
- NOODAI: A webserver for network-oriented multi-omics data analysis and integration pipeline
Tiberiu Totu, Rafael Riudavets Puig, … Marija Buljan·BioinformaticsPeer-reviewed·Oct 2, 2025
- OmniPath Metabo: chemical structures, interactions and mechanisms to study the metabolome
Jonathan Schaul, Yunfan Bai, … Julio Sáez-Rodríguez·bioRxiv·Jun 19, 2026
- A multi-method approach for proteomic network inference in 11 human cancers
Yasin Şenbabaoğlu, Selçuk Onur Sümer, … Chris Sander·PLOS Computational BiologyPeer-reviewed·Feb 29, 2016
- PIMO: Pathway-based Interpretable Multi-Omics interactions for multi-omics integration
Sai Phani Parsa, Sai Kosaraju, … Mingon Kang·BioinformaticsPeer-reviewed·Jul 1, 2026