IntAct is an open source database and software suite for modeling, storing and analyzing molecular interaction data. The data available in the database originates entirely from published literature and is manually annotated by expert biologists to a high level of detail, including experimental methods, conditions and interacting domains. The database features over 126 000 binary interactions extracted from over 2100 scientific publications and makes extensive use of controlled vocabularies. The web site provides tools allowing users to search, visualize and download data from the repository. IntAct supports and encourages local installations as well as direct data submission and curation collaborations. IntAct source code and data are freely available from .
We describe MeasEval, a SemEval task of extracting counts, measurements, and related context from scientific documents, which is of significant importance to the creation of Knowledge Graphs that distill information from the scientific literature. This is a new task in 2021, for which over 75 submissions from 25 participants were received. We expect the data developed for this task and the findings reported to be valuable to the scientific knowledge extraction, metrology, and automated knowledge base construction communities.
Also in the field of medicine the computer is used increasingly for statistical evaluation of data. Unfortunately, the physician ▪— unlike the natural scientist — is, as a rule, not yet able to write himself the programs for the processing of his own data. This situation, on the one hand, frustrates the medical scientist, and, on the other hand, burdens the official programmers, who are expected to help the doctor.The steadily growing number of requests for programming support led us to develop a variable tabulation program (VARTAB) the rules of which are so simple that they can be learned in very short time also by physicians who have no programming knowledge at all. The VARTAB system consists of two parts: 1. a data-standardizing conversion program STAND and 2. the tabulation outprint program TABOUT. The concepts of both programs, the work to be done by the user and the potential and the restrictions of the system are discussed in detail.
The information system of experimental oncopathology of the German Cancer Research Center is a computerized data processing program for studying the etiology, pathogenesis and therapy of experimental cancer. This program is adapted to correlate stored data with those from the thesaurus of human pathology. The system is developed and administered by the histodiagnostic facility which serves to collect and register standardized, centralized and current data from all sources. These are: individual investigators, animal laboratory, and central histodiagnostic facility. To record uniform data, a standardized protocol is introduced which entails data sets for information about animals, substances under study, experimental design, and necropsy and histological changes. The data entry takes place semi-automatically by using different codes grouped into three files: for substances, for animals, and for pathological changes. The code for pathological findings is based on SNOP. For data processing the system ALIS is employed which permits input, check and update; reorganisation and confirmation; evaluation.The information system is adapted to the organization and research programs of the German Cancer Research Center. It is a flexible system applicable for different conditions in registering and processing diverse information about animal experiments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.