Interactive Data Integrator for Uniform Data Processing in the MorPhiC Program
Abstract
We present an interactive Data Integrator to facilitate uniform data processing and integration with datasets generated by the NIH funded MorPhiC (Molecular Phenotypes of Null Alleles in Cells) program. In the dataset identification step, users can select published bulk RNA sequencing (RNA-seq) datasets generated by the MorPhiC program, specify external datasets from the Gene Expression Omnibus (GEO) repository, or upload raw RNA-seq data. Subsequently, users can select a subset of samples and indicate experimental design by assigning groups to samples. External data will then be processed using the MorPhiC approved bulk RNA-seq analytical pipeline, and differential expression will be inferred. Users also have the option to download the uniformly processed counts table.
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BibTeX
@misc{mckeever2026interactive,
title = {{Interactive Data Integrator for Uniform Data Processing in the MorPhiC Program}},
author = {Patrick McKeever and Jesse Flores and Dylan Baker and Ling-Hong Hung and Bryce Nobutoshi Fukuda and Alexandros Orges Koci and Anu Shivalikanjli and Dušica Vidović and Helen Parkinson and Stephan Schürer and Ka Yee Yeung},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.16.759756},
url = {https://www.biorxiv.org/content/10.64898/2026.10.16.759756v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - Interactive Data Integrator for Uniform Data Processing in the MorPhiC Program
AU - Patrick McKeever
AU - Jesse Flores
AU - Dylan Baker
AU - Ling-Hong Hung
AU - Bryce Nobutoshi Fukuda
AU - Alexandros Orges Koci
AU - Anu Shivalikanjli
AU - Dušica Vidović
AU - Helen Parkinson
AU - Stephan Schürer
AU - Ka Yee Yeung
PY - 2026
DA - 2026/10/16
PB - bioRxiv
DO - 10.64898/2026.10.16.759756
UR - https://www.biorxiv.org/content/10.64898/2026.10.16.759756v1
AB - We present an interactive Data Integrator to facilitate uniform data processing and integration with datasets generated by the NIH funded MorPhiC (Molecular Phenotypes of Null Alleles in Cells) program. In the dataset identification step, users can select published bulk RNA sequencing (RNA-seq) datasets generated by the MorPhiC program, specify external datasets from the Gene Expression Omnibus (GEO) repository, or upload raw RNA-seq data. Subsequently, users can select a subset of samples and indicate experimental design by assigning groups to samples. External data will then be processed using the MorPhiC approved bulk RNA-seq analytical pipeline, and differential expression will be inferred. Users also have the option to download the uniformly processed counts table.
SN - 2692-8205
ER -