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Integrated Genome Browser: Java-based desktop genome browser: Linux, macOS, Windows: Common Public 1.0 GenoViz InterMine: Extensive data warehouse system for the analysis and integration of biological datasets written in Java and JavaScript Cross-platform: LGPL: University of Cambridge: LabKey Server
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
The program has a focus on recruitment from populations that have been historically underrepresented in clinical science and genomic medicine, in order to build a diverse biomedical data resource that provides a foundation for better insights into the biological, environmental, and behavioral factors that influence health.
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The Integrated Microbial Genomes (IMG) system is a genome browsing and annotation platform developed by the U.S. Department of Energy (DOE)-Joint Genome Institute. [2] [3] IMG contains all the draft and complete microbial genomes sequenced by the DOE-JGI integrated with other publicly available genomes (including Archaea, Bacteria, Eukarya, Viruses and Plasmids).
Integrated Genome Browser (IGB) (pronounced Ig-Bee) [1] is an open-source genome browser, a visualization tool used to observe biologically-interesting patterns in genomic data sets, including sequence data, gene models, alignments, and data from DNA microarrays.
Strawberry A program for genome-guided transcripts reconstruction and quantification from paired-end RNA-seq. StringTie StringTie is an assembler of RNA-Seq alignments into potential transcripts. It uses a novel network flow algorithm as well as an optional de novo assembly step to assemble and quantitate full-length transcripts representing ...
Clinicogenomics, also referred to as clinical genomics, is the study of clinical outcomes with genomic data. Genomic factors have a causal effect on clinical data. Clinicogenomics uses the entire genome of a patient in order to diagnose diseases or adjust medications exclusively for that patient.