Search Results for "u-root"

...RNA editing is a post-transcriptional phenomenon involving the insertion/deletion or substitution of specific bases in precise RNA localizations. In human, RNA editing occurs by deamination of cytosine to uridine (C-to-U) or mostly by the adenosine to inosine (A-to-I) conversion through ADAR enzymes. A-to-I substitutions may have profound functional consequences and have been linked to a variety of human diseases including neurological and neurodegenerative disorders or cancer. NGS technologies offer a unique opportunity to investigate RNA editing. ...

RootAnalyzer is a fully automated tool, for efficiently extracting and analyzing anatomical traits from root-cross section images. RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and produces statistics about the morphological properties of the root cells and tissues. RTipC is a system for the fully automated detection and classification of root tips in root images obtained either by 2d flat bed scanning or by 3D digital camera imaging. ...

A Mass Difference Calculator with a graph for MassLynx. Bring in a text file with reference masses and then paste in or browse in another file with a list of mass/intensity pairs. Then look at the best matching points and see what the difference between reference and data comes out as. This is a companion app to ResCalc3

These scripts written in java can be used for deep sequencing analysis of the scFv antibodies from a synthetic antibody library and yields complete sequence information on the randomized areas of antibodies enriched from the library by phage display. The methods are descriped in Lövgen, J., Pursiheimo, J.P., Pyykkö, M., Salmi, J. & Lamminmäki, U. (2016) Next generation sequencing of all variable loops of synthetic single framework scFv – application in anti-HDL antibody selections. New Biotechnology 33:790-796.

The aim of this project is to create an automated pipeline for taxonomic assignment of DNA sequences obtained from environmental samples. We develop a series of python scripts to process the raw sequence data obtained from benthic environmental samples and to taxonomical assignment of these sequences and finally to integrate all data in a relational database.

If you manage phylogenetic data, Bio::NEXUS can make your life easier with a library and ready-made tools to manipulate and visualize NEXUS files (see http://www.molevol.org/nexplorer and http://search.cpan.org/dist/Bio-NEXUS/doc/Tutorial.pod).