4 papers · ranked by Valyu relevance
Joshua M. Mitchell, Yuanye Chi, Maheshwor Thapa, Zhiqiang Pang + 2 more
To standardize metabolomics data analysis and facilitate future computational developments, it is essential is have a set of well-defined templates for common data structures. Here we describe a collection of data structures involved in metabolomics data processing and illustrate how they are utilized in a…
Weiyuntian Dai, Yonglin Yi, Anqi Lin, Chaozheng Zhou + 4 more
Meta-analysis is a common statistical method used to summarize multiple studies that cover the same topic. It can provide less biased results and explain heterogeneity between studies. Although there exists a variety of meta-analysis softwares, they are rarely both convenient to use and capable of comprehensive…
Nathan J. LeRoy, Oleksandr Khoroshevskyi, Aaron O’Brien, Rafał Stepień + 2 more
As biological data increases, we need additional infrastructure to share it and promote interoperability. While major effort has been put into sharing data, relatively less emphasis is placed on sharing metadata. Yet, sharing metadata is also important, and in some ways has a wider scope than sharing data itself. Here…
Ramon van der Zwaan, Berdien van Olst, Mark C.M. van Loosdrecht, Martin Pabst
Microbial community proteomics is rapidly gaining traction as it allows exploration of functional processes in microbial ecosystems. Consequently, there is a growing need for user-friendly tools that enable performance evaluation and interactive visualization of the increasingly complex community proteomics data. We…