HCoCena: horizontal integration and analysis of transcriptomics datasets.

ABSTRACT:

Motivation

Transcriptome-based gene co-expression analysis has become a standard procedure for structured and contextualized understanding and comparison of different conditions and phenotypes. Since large study designs with a broad variety of conditions are costly and laborious, extensive comparisons are hindered when utilizing only a single dataset. Thus, there is an increased need for tools that allow the integration of multiple transcriptomic datasets with subsequent joint analysis, which can provide a more systematic understanding of gene co-expression and co-functionality within and across conditions. To make such an integrative analysis accessible to a wide spectrum of users with differing levels of programming expertise it is essential to provide user-friendliness and custo

SUBMITTER: Oestreich M 

PROVIDER: S-EPMC9563699 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature