www.nature.com - The UCSC SARS-CoV-2 Genome Browser (https://genome.ucsc.edu/covid19.html) is an adaptation of our popular genome-browser visualization tool for this virus, containing many annotation tracks and new features, including conservation with similar...
github.com - MUM&Co is able to detect:Deletions, insertions, tandem duplications and tandem contractions (>=50bp & <=150kb)Inversions (>=1kb) and translocations (>=10kb)
github.com - The Genome Context Viewer (GCV) is a web-app that visualizes genomic context data provided by third party services. Specifically, it uses functional annotations as a unit of search and comparison. By adopting a common set of annotations, data-store...
As genome screening becomes more affordable and integrated into routine healthcare, its potential to transform lives is immense. Policymakers, healthcare providers, and genetic counselors must collaborate to ensure ethical implementation, public...
github.com - HiTE is a Python software that uses a dynamic boundary adjustment approach to detect and annotate full-length Transposable Elements in Genome Assemblies. In comparison to other tools, HiTE demonstrates superior performance in detecting a...
Benefits for the participants
- Plan more efficient experiments
- Correctly interpret results
- Communicate results in publications more effectively
The course focus is on methodologies, not on particular software tools. After the course...
www.bioconductor.org - statistical analysis and visulization of functional profiles for genes and gene clustersBioconductor version: Release (3.3)This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.Author:...
jmorp.megabank.tohoku.ac.jp - Japanese Multi Omics Reference Panel, jMorp, is a database of metabolome and proteome data in plasma obtained from volunteers in ToMMo. Metabolome data were measured by proton NMR and LC-MS, and proteome data were obtained by nanoLC-MS. We could...
We develop and use integrative bioinformatics approaches to extract biological meanings from experimental data and generate hypotheses for experimental validation. Please explore our website to learn more about our people and our research.
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