Industry Partners

Researchers need innovative software solutions that facilitate the organization and interpretation of the vast amount of experimental data generated by next generation sequence technologies. These solutions enable researchers to gain greater insight into the mechanisms of disease and accelerate biological research. Elsevier is forming strategic partnerships with companies across the life sciences industry to provide seamless integration of complementary products with Pathway Studio. These partnerships will simplify and improve key data analysis workflows for commercial and academic researchers, so they can focus on understanding disease biology and identify target proteins for new drugs.

Maverix Biomics focuses on enabling scientists in translational research, biomarker discovery, clinical diagnostics, and basic research with end-to-end next-generation sequencing solutions through best-in-class analytical tools and data visualization for result exploration. The Maverix WAVES™ system offers gene expression analysis with mRNA-seq, small RNA- seq, and exosome RNA-seq, and variant analysis with whole genome and exome sequencing for multiple organisms. Users can automatically send their differential expression data to their Elsevier Pathway Studio account for further understanding the impact of the study results in biological discoveries.

Illumina is improving human health by unlocking the power of the genome. Our focus on innovation has established us as the global leader in DNA sequencing and array-based technologies, serving customers in the research, clinical and applied markets. Our products are used for applications in the life sciences, oncology, reproductive health, agriculture and other emerging segments.

NextGENe software’s Expression Comparison tool can be used to identify the differentially expressed genes and with a simple click of a button, NextGENe software’s expression analysis results can be uploaded to Pathway Studio, enabling the visualization of the disease mechanisms, gene expression and more. This automated linkage can improve laboratory efficiency by allowing researchers to quickly access a broad knowledge base without requiring tedious and error prone manual searches.

Partner With Elsevier

We are actively seeking industry partners worldwide with innovative products to provide seamless integration of Pathway Studio with innovative upstream analysis tools. To become a partner, please click on the Become A Partner, fill out the form and a team member will contact you.

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Partner With Elsevier - Pathway Studio®

Academic Partners

In addition to industry partners, Elsevier collaborates with academic institutions to support important research projects that advance our understanding of disease.

The Innovation Center for Biomedical Informatics

The demonstration of the use of Pathway Studio as a high performance tool in classroom learning has recently been validated by a team of educators and researchers at the Innovation Center for Biomedical Informatics (ICBI) at Georgetown University. In order to enhance the active learning opportunities for their students, a course was designed and taught around the use of Elsevier’s Pathway Studio software to teach genomics in the context of a more appropriate systems biology approach. Student response has been very enthusiastic and the educators reported a higher level of engagement as compared to more traditional, lecture-based approaches.

The University of Texas MD Anderson Cancer Center

Census of the apoptosis pathway: A systematic comparison of multiple different omic approaches to constructing an apoptosis pathway de novo demonstrated that text mining-based pathway analysis with Pathway Studio in conjunction with manual curation provided the most comprehensive coverage.  The extensive coverage (93%) of the apoptosis pathway provided by text mining with Pathway Studio can likely be attributed to recent upgrades in the software, including an expanded database and collection of full-text articles.

The National Institute of Mental Health

A functional network identified for Schizophrenia (SCZ) composed of 1,219 genes: a literature-based data mining (LDM) and enrichment analysis study was performed in Pathway Studio for SCZ involving a systematic summarization of over 13,515 articles (from year 1958 to Feb. 2016.  Results from this up-to-date LDM suggest that these 1,219 genes have multiple types of association with SCZ, and enrichment analysis shows that these genes play significant roles in the pathogenesis of SCZ, as well as in the pathogenesis of many other SCZ-related psychiatric disorders.

Partner With Elsevier

We are actively seeking collaborators worldwide. To become a collaborator, please click on the Become A Partner, fill out the form, and a team member will contact you.

Become a partner

Partner With Elsevier - Pathway Studio®