Rapture

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RAD Capture (Rapture): Flexible and Efficient Sequence-Based Genotyping.

Massively parallel sequencing has revolutionized many areas of biology, but sequencing large amounts of DNA in many individuals is cost-prohibitive and unnecessary for many studies. Genomic complexity reduction techniques such as sequence capture and restriction enzyme-based methods enable the analysis of many more individuals per unit cost. Despite their utility, current complexity reduction m...

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Rapture of renal angiomyolipoma during pregnancy: a case report

INTRODUCTION Rapture of a renal angiomyolipoma and massive retroperitoneal hemorrhage, during pregnancy is rare and occasionally fatal. The association of this complication with pregnancy has been reported sporadically in the literature. CASE PRESENTATION We report a case of a 28 years old woman, in 33 week of her first pregnancy who came to our hospital complaining of abdominal pain in the r...

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Title Rad Capture (rapture): Flexible and Efficient Sequence-based Genotyping. Authors and Institutional Affiliations

Massively parallel sequencing has revolutionized many areas of biology but sequencing large amounts of DNA in many individuals is cost-prohibitive and unnecessary for many studies. Genomic complexity reduction techniques such as sequence capture and restriction enzymebased methods enable the analysis of many more individuals per unit cost. Despite their utility, current complexity reduction met...

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Rapture in the Cartesian Wall between Real World Entities and their Abstract Models

This short paper envisages that the advancements made with respect to Big Data (BD), High Performance Computing, etc. would give rise to a new paradigm of concrete information models, which would closely replicate the real world and the consequences such as self-verifying information models, BD warehouses as intermediaries between data sources and information

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Number of Training Examples Rapture Either Id3 Figure 4: Learning Curves for Dna Data

tem for solving diagnosis problems. Towell [Towell and Shavlik, 1991] has built neural networks out of symbolic rules, where all features of the examples are present in small weighted links. Symbolic rules are then extracted in an N-OF-M manner. Fu [Fu, 1989] and Lacher [Lacher, 1992] have both designed algorithms for creating conceptual networks out of Mycin-style rules. Fu only performs a par...

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ژورنال

عنوان ژورنال: Revista Surco Sur

سال: 2018

ISSN: 2157-5223,2157-5231

DOI: 10.5038/2157-5231.8.11.2