bioRxivGenomicsPreprint
miniODP: a reusable framework for building multi-omics resources in understudied organisms
Hang YangiD, Zehui WangiD, Hanqiao ShangiD, Puxuan JiangiD, Yingshu LiiD, Qiang TuiD
Abstract
Building multi-omics resources for understudied organisms requires assay selection, public-data curation, gene identifier handling, portal deployment, and visualization, yet these tasks are rarely packaged into a reusable framework. To fill this gap, we developed the mini Omics Data Portal (miniODP), which combines species pages, gene-centric modules, genome browsing, and sequence search with configuration files, species onboarding workflows, and demonstration data for self-deployment. Alongside the software, we propose miniENCODE core assays: a reduced RNA-seq, ATAC-seq, and H3K27ac profiling set for regulatory analysis. Current miniODP includes seven species, covering 3,568 bulk runs, 3.61 million cells, and 1,865 genome-browser tracks. Matched core-assay datasets support regulatory outputs. As a zebrafish benchmark, using datasets from three core assays and 17 samples, we identified 52,350 enhancer-like signatures (ELSs) and constructed ELS-to-gene linkages and gene regulatory networks (GRNs). Genes near H3K27ac-supported ELSs were expressed at higher levels than those near ATAC-only distal peaks. Literature curation of top TFs from zebrafish and cattle GRNs found 19 direct, 15 indirect, and six unsupported cases among 40 candidates. Datasets lacking matched core assays still provide browsing, visualization, and search functions. miniODP serves as a reusable framework for constructing and extending multi-omics resources for understudied organisms. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/573815v3_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1542265org.highwire.dtl.DTLVardef@9e5424org.highwire.dtl.DTLVardef@a630d5org.highwire.dtl.DTLVardef@d0163c_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: zebrafish
- assay: bulk RNA-seq
- assay: ATAC-seq
- assay: ChIP-seq
- assay: spatial transcriptomics
- research focus: database / resource
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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
- Vertical and horizontal integration of multi-omics data with miodin
Benjamin Ulfenborg·BMC BioinformaticsPeer-reviewed·Dec 1, 2019
- eUTOPIA: Solution for omics data preprocessing and analysis
Veer Singh Marwah, Giovanni Scala, … Dario Greco·Source Code for Biology and MedicinePeer-reviewed·Jan 29, 2019
- GraphOmics: an Interactive Platform to Explore and Integrate Multi-Omics Data
Joe Wandy, Rónán Daly·BMC BioinformaticsPeer-reviewed·Dec 1, 2021
- Omics Pipe: A Computational Framework for Reproducible Multi-Omics Data Analysis
Kathleen M Fisch, Tobias Meißner, … Andrew I. Su·BioinformaticsPeer-reviewed·Jan 30, 2015
- SODAR: managing multi-omics study data and metadata
Mikko Nieminen, Oliver Stolpe, … Manuel Holtgrewe·GigaSciencePeer-reviewed·Dec 28, 2022
- OmnibusX: A unified platform for accessible multi-omics analysis
Linh Truong, Thao Truong, Huy Nguyen·PLoS Computational BiologyPeer-reviewed·Sep 8, 2025