Search Results for "computer use"

he decreasing cost high-throughput technologies led to a number of sequencing projects consisting thousands of whole genomes. The paradigm shift from exome to whole genome brings a significant increase in the size of output files. Most of the existing tools which are developed to analyze exome files are not adequate for large VCF files produced by whole genome studies. In this work we present VCF-Explorer, a variant analysis software capable of handling large files. Efficient memory...

Filtering out the prominent portion through the excessive amount of information produced by next generation techniques is a challenging task. Current tools enable to analyze next generation sequencing data in various methods. However, there is still need for fast, easy to use and efficacious tools. We provide an efficient filtering tool for next generation sequencing data produced by genetic disease studies. FMFilter allows to choose one of the inheritance models (recessive, dominant, compound heterozygous and de novo), the affected and control individuals to design the filtering mechanism. It provides an environment of analyzing these cases by removing the requirement of advanced computer techniques. ...

...This method can generate three-dimensional chromosomal models satisfying a large portion of chromosomal contacts. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. The project is supported by the National Science Foundation (grant no. DBI1149224). If you use Gen3D in your research, please cite: Nowotny, Jackson, Sharif Ahmed, Lingfei Xu, Oluwatosin Oluwadare, Hannah Chen, Noelan Hensley, Tuan Trieu, Renzhi Cao, and Jianlin Cheng. ...

...We demonstrate its (1) generality, by reconstructing cell lineages in four-dimensional, terabyte-sized image data of fruit-fly, zebrafish and mouse embryos, acquired with three different types of fluorescence microscopes, (2) scalability, by analyzing advanced stages of development with up to 20,000 cells per time point, at 26,000 cells min-1 on a single computer workstation, and (3) ease of use, by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. Our approach achieves on average 97.0% linkage accuracy across all species and imaging modalities." *Please cite this paper if you use this code for your research

The open bicycle computer (oBiCo) is an outdoor computer to be mounted on your bike. We are providing an open source based plattform to ether use Linux based software or go with a small GPL'ed C++ OS (Booting in just 2 seconds)