LabArchives is a secure, cloud-based electronic lab notebook (ELN) designed for research. This ELN system enables researchers to capture, manage, store, and share information and data. LabArchives facilitates collaboration amongst researchers within a loab, institution, and with external stakeholders.
i2b2 enables researchers to discover cohorts of patients using data from EHR systems. Through a point-and-click interface, researchers can build queries drawing from demographics, diagnoses, procedures, medications, and results recorded in Epic, the EHR system of Weill Cornell Physician Organization outpatient clinics (access to data from Eclipsys/Allscripts Sunrise Clinical Manager, the EHR system of NewYork-Presbyterian inpatient units, is planned). i2b2 supports different types of queries of clinical data, including whether clinical concepts occurred at any point in a patient’s medical
Endnote is a bibliographic management tool for storing and accessing shared references, documents and files. Endnote allows the autmated insertion of citations in MS Word in over 6000 styles. Endnote can retrieve the full text of all articles in your library from freely available sources and the Samuel J. Wood library's subscriptions.
Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution. Available through the bioconductor package in R
Cytoscape is an open source software platform for visualizing molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
"BioCyc.org is a microbial genome Web portal that combines thousands of genomes with additional information inferred by computer programs, imported from other databases and curated from the biomedical literature by biologist curators. BioCyc also provides an extensive range of query tools, visualization services and analysis software." (Karp et al., 2019)
Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1296 software packages, and an active user community.
