Improving our products and services
Research Data Management
These partners are helping us evaluate and improve our research data management solutions built on the open Mendeley Data platform. By allowing their researchers, librarians, research offices and students to give us advice and feedback on our pre-launch ideas, we’re able to better understand their challenges and build tools to help them.
University of Manchester
University of Milan
Universitá Cattolica del Sacro Cuore
Politecnico di Milano
Rensselaer Polytechnic Institute
Effective Research Data Management
Five facts you need to know abour Elsevier and RDM.Learn more
We also rely on our collaboration partners to help us develop and improve tools in research performance. These partners are helping us to evaluate our services around funding management.
University Cattolica del Sacro Cuore
University of Bristol
Biology Academic & Industry Partnerships
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 our New Biology Solution, which is currently in development and includes the powerful Pathway Studio Knowledge Graph and analysis capabilities. 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.
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.
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.
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.
We obtain biopsies placed in RNA-later on stage IV cancers, create a blueprint of their tumor (genechip or gene expression profile) or transcriptomics profile, identify dominant signal transduction pathways utilized by their individual tumor, then select molecular targeted drugs to block proliferation pathways and force the cancer cells into an apoptotic pathway. This approach may cure some patients, in other patients it decreases toxicity allowing better quality of life and improving overall survival compared to cytotoxic chemotherapy regimens. In terms of immune therapies like checkpoint inhibitors, often times many stage IV cancers do not respond, and it is clear from their gene expression profile, that their immune system has been inactivated by their tumor! Read more about the collaboration
Pathway Studio data from the George Mason University College of Science Chronic Metabolic and Rare Diseases Systems Biology Initiative is used for modelling rare disease mechanisms and for exploring possible repurposing of drugs and nutraceuticals for various conditions.
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.
SolveBio enables biopharma customers to leverage molecular information for therapeutic development by unifying and connecting data across the organization so that scientists can run analytics and answer questions in real-time based on harmonized internal and external data. SolveBio catalogs all of their data as biological entities, like variants, genes, and gene expression profiles, creating a centralized cloud-based inventory of all the biological components in their data layer. Then, leveraging technology and human expertise, SolveBio links the data across silos. SolveBio’s graphical interface allows researchers, in their organization, to find the right data at the right time to directly run analytics on all the data to answer mission-critical questions. SolveBio’s RESTful API brings unified, enriched data to downstream applications for analytics and visualization.
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 our New Biology Solution with innovative upstream analysis tools. To become a partner, please click on the Become A Partner link below and a team member will contact you.