Beginning ASP.NET

Beginning ASP.NET by Knowledge flow


English | Apr 29, 2015 | ASIN: B00WXMNX4S | 63 Pages | EPUB/AZW3 | 1.49 MB/1.72 MB

Knowledge flow- A mobile learning platform provides apps, eBooks and video tutorials. Knowledge flow brings you a learning eBook of Beginning ASP.NET. This eBook is for all information technology, computer science and web development students and professionals across the world.




This eBook provides Beginning ASP.NET references.




1. Introduction


2. ASP.NET Applications Fundamental


3. Pages in ASP.NET


4. Authentication services by ASP.NET


5. Data Binding


6. Data catching


7. Diagnostic


8. Using MySQL in Visual Studio


9. MySQL ASP.NET MVC


10. ASP.NET MySQL First access


11. More eBooks and Apps


12. Our more Computer Science and IT books

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Ancient Egypt (Ancient Civilizations)

L. J. Amstutz, "Ancient Egypt (Ancient Civilizations)"


2015 | ISBN-10: 162403537X | 112 pages | PDF | 20 MB

"In Ancient Egypt, readers discover the history and impressive accomplishments of the people of ancient Egypt, including their extraordinary cultural achievements and feats of construction. Engaging text provides details on the civilization's history, development, daily life, culture, art, technology, warfare, social organization, and more."–Publisher's website.

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Accelerated Profile HMM Searches

Accelerated Profile HMM Searches by Sean Eddy


English | May 1, 2015 | ASIN: B00X1FYO8K | 109 Pages | EPUB/AZW3 | 1.74 MB/1.82 MB

Profile hidden Markov models (profile HMMs) and probabilistic inference methods have made important contributions to the theory of sequence database homology search. However, practical use of profile HMM methods has been hindered by the computational expense of existing software implementations. Here I describe an acceleration heuristic for profile HMMs, the “multiple segment Viterbi” (MSV) algorithm. The MSV algorithm computes an optimal sum of multiple ungapped local alignment segments using a striped vector-parallel approach previously described for fast Smith/Waterman alignment. MSV scores follow the same statistical distribution as gapped optimal local alignment scores, allowing rapid evaluation of significance of an MSV score and thus facilitating its use as a heuristic filter. I also describe a 20-fold acceleration of the standard profile HMM Forward/Backward algorithms using a method I call “sparse rescaling”. These methods are assembled in a pipeline in which high-scoring MSV hits are passed on for reanalysis with the full HMM Forward/Backward algorithm. This accelerated pipeline is implemented in the freely available HMMER3 software package. Performance benchmarks show that the use of the heuristic MSV filter sacrifices negligible sensitivity compared to unaccelerated profile HMM searches. HMMER3 is substantially more sensitive and 100- to 1000-fold faster than HMMER2. HMMER3 is now about as fast as BLAST for protein searches.

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