Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

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Modular tacTiles for Sonic Interactions with Smart Environments

Anlauff J, Hermann T, Großhauser T, Cooperstock J. Modular tacTiles for Sonic Interactions with Smart Environments. In: Altinoy E, Jekosch U, Brewster S, eds. Proceedings of the 4th International Conference on Haptic and Audio Design / Lecture Notes on Computer Science, Volume 5763. Vol 2. Berlin, Heidelberg: Springer; 2009: 26-27.In this paper, we present a prototype of a spatially resolved force sensing floor surface. The force sensors are based on conductive paper and grouped into modules called tacTiles. Due to the cheap and widely available materials used for tacTiles, the approach is suitable as a low-cost alternative for spatially resolved tactile sensing. The necessary techniques are shared as an open source and open hardware project to provide an affordable tactile sensing for smart environments. As an interactive application of these tacTiles, we present a detection of step direction algorithm used to count steps into and out of a room