Pathway Analysis

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Disease Biomarker Query from RNA-Seq Data

Disease Biomarker Query from RNA-Seq Data

As a revolutionary way to unveil transcription, RNA-Seq technologies are challenging bioinformatics for its large data volumes and complexities. A large number of computational models have been proposed for differential expression (DE) analysis and normalization from different standing points. However, ...

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iRegulon: From a Gene List to a Gene Regulatory Network

iRegulon: From a Gene List to a Gene Regulatory Network

Identifying master regulators of biological processes and mapping their downstream gene networks are key challenges in systems biology. Researchers at the KU Leuven Center for Human Genetics developed a computational method, called iRegulon, to reverse-engineer the transcriptional regulatory network underlying ...

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A Flexible Protocol for Targeted Gene Co-expression Network Analysis

A Flexible Protocol for Targeted Gene Co-expression Network Analysis

The inference of gene co-expression networks is a valuable resource for novel hypotheses in experimental research. Routine high-throughput microarray transcript profiling experiments and the rapid development of next-generation sequencing (NGS) technologies generate a large amount of publicly available data, enabling ...

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