High performance system for signal peptide prediction: SOSUIsignal
نویسندگان
چکیده
منابع مشابه
High-performance signal peptide prediction based on sequence alignment techniques
UNLABELLED The accuracy of current signal peptide predictors is outstanding. The most successful predictors are based on neural networks and hidden Markov models, reaching a sensitivity of 99% and an accuracy of 95%. Here, we demonstrate that the popular BLASTP alignment tool can be tuned for signal peptide prediction reaching the same high level of prediction success. Alignment-based technique...
متن کاملEarly Branch Prediction Circuit for High Performance Digital Signal Processors
In this paper, design and VLSI Implementation of an Early Branch Prediction (EBP) circuit, based on a variation of Carry Look-ahead scheme is presented. The key features of this design are low area, high speed (2 [Zog 11/21 + I), and high modularity. This design out performs all the EBP designs presented so far. For 64-bit word length the early branch prediction is obtained in 679 ps as simulat...
متن کاملMultiprocessor system development for high performance signal processing applications
Developing multiprocessor systems to implement high performance signal processing algorithms can be a formidable undertaking. A process for designing multiprocessor systems , using primarily programmable processors, is proposed here. This design process starts with algorithm entry and analysis, continues with functional decomposition and architecture entry, which are used to drive the algorithm...
متن کاملPerformance Prediction of a Flexible Manufacturing System
The present investigation presents a stochastic model for a flexible manufacturing system consisting of flexible machine, loading/unloading robot and an automated pallethandling device. We consider unreliable flexible manufacturing cell (FMC) wherein machine and robot operate under individual as well as common cause random failures. The pallethandling system is completely reliable. The pallet o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chem-Bio Informatics Journal
سال: 2004
ISSN: 1347-0442,1347-6297
DOI: 10.1273/cbij.4.142