Tools for Comparative Genomics
Tutorial and training materials by OpenHelix
|Learn to use VISTA from the Genomics Division of Lawrence Berkeley National Laboratory. VISTA provides a way to examine the data from many genomes, with extensive annotation for various data types including known genes, predicted genes, SNPs, comparative multi-species analysis and much more. VISTA also contains excellent sequence alignment and visualization tools with capacity for long sequences. Use VISTA as a primary resource for your comparative genomics research needs.|
- how to examine pre-computed relationships among a variety of species
- ways of submitting and analyzing sequences of your own in VISTA
- how to discover possible regulatory transcription factor binding sites in your favorite genes
- to compare genomic sequences with customizable graphical representations and many other output options
Recent BioMed Central research articles citing this resource
Bloch Ølgaard Lars et al., Imaging of carotid artery vessel wall edema using T2-weighted cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance (2014) doi:10.1186/1532-429X-16-22
Su Yu-Ching et al., Comparative genomic analysis reveals distinct genotypic features of the emerging pathogen Haemophilus influenzae type f Prokaryote microbial genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-38
Qian Cheryl Zhenyu et al., Fluency of visualizations: linking spatiotemporal visualizations to improve cybersecurity visual analytics. Security Informatics (2014) doi:10.1186/s13388-014-0006-4
Ning Shangwei et al., LincSNP: a database of linking disease-associated SNPs to human large intergenic non-coding RNAs Sequence analysis (methods). BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-152
Tavasoli Ahmad et al., Enhancement of ruthenium-promoted Co/CNT nanocatalyst performance using microemulsion technique. International Journal of Industrial Chemistry (2014) doi:10.1186/2228-5547-5-1
More about the resource:
VISTA is a powerful comparative genomics system which may lead to discoveries of medical importance. The VISTA family of tools is developed and hosted at Genomics Division of Lawrence Berkeley National Laboratory. This collaborative effort is supported by supported by the Programs for Genomic Applications grant from the NHLBI/NIH and the Office of Biological and Environmental Research, Office of Science, US Department of Energy.
The materials and slides offered can not be resold or used for profit purposes. Reproduction, distribution and/or use is strictly limited to instructional purposes only and can not be used for for monetary gain or wide distribution.
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