نتایج جستجو برای: profiling

تعداد نتایج: 83846  

K. Kavitha M. James Milton M.A. Haniffa, P. Jeya Sheela

Protein banding pattern of eight snakeheads – Channa species viz., Channa striatus, Channa marulius, Channa punctatus, Channa diplogramme, Channa bleheri, Channa gachua, Channa stewartii and Channa aurantimaculata collected from different regions of India were used to study the phylogenetic relationship among them. The banding pattern from muscle protein indicated a unique profile for each spec...

Silver nanoparticle therapeutics using symbiotic organisms can offer solutions to the current obstacles in antimicrobial therapies, because of cost-effective and eco-friendly properties over chemical and physical methods. In this study, we aim to synthesize silver nanoparticles using lichen (Parmotrema tinctorum) extract and evaluation of its antibacterial properties. Synthesized silve...

Objective(s): Unstable angina (UA) is a form of the acute coronary syndrome (ACS) that affects more than a third of the population before age 70. Due to the limitations of diagnostic tests, appropriate identification of UA is difficult. In this study, we proceeded to investigate metabolite profiling in UA patients compared with controls to determine potential candidate...

Journal: :Journal of molecular biology 2004
Philipp Pagel Philip Wong Dmitrij Frishman

Phylogenetic profiling is a well established method for predicting functional relations and physical interactions between proteins. We present a new method for finding such relations based on phylogenetic profiling of conserved domains rather than proteins, avoiding computationally expensive all versus all sequence comparisons among genomes. The resulting domain interaction map (DIMA) can be ex...

2003
Sagnik Nandy Xiaofeng Gao Jeanne Ferrante

Program profiling can help performance prediction and compiler optimization. This paper describes the initial work behind TFP, a new profiling strategy that can gather and verify a range of flow-specific information at runtime. While TFP can collect more refined information than block, edge or path profiling, it is only 5.75% slower than a very fast runtime path-profiling technique. Statistics ...

2006
Miha Grčar Dunja Mladenič Marko Grobelnik

This paper addresses a problem of personalized information delivery related to the Web, that is based on user profiling. Different approaches to user profiling have been developed. When the user profiling is used for personalization in the context of Web, we can talk about Web personalization. There are three main groups of approaches: content-based filtering, collaborative filtering and Web us...

1999
Sheng Liang Deepa Viswanathan

Existing profilers for Java applications typically rely on custom instrumentation in the Java virtual machine, and measure only limited types of resource consumption. Garbage collection and multi-threading pose additional challenges to profiler design and implementation. In this paper we discuss a general-purpose, portable, and extensible approach for obtaining comprehensive profiling informati...

Journal: :Bioinformatics 2014
Nam-phuong Nguyen Siavash Mirarab Bo Liu Mihai Pop Tandy J. Warnow

MOTIVATION Abundance profiling (also called 'phylogenetic profiling') is a crucial step in understanding the diversity of a metagenomic sample, and one of the basic techniques used for this is taxonomic identification of the metagenomic reads. RESULTS We present taxon identification and phylogenetic profiling (TIPP), a new marker-based taxon identification and abundance profiling method. TIPP...

2004
Matthew F. Parkinson Sri Parameswaran

Automation of the Hardware/SofhYare Codesign methodology brings with it the need to develop sophisticated high-level profiling tools. This paper presents a profiling tool which uses execution profiling on standard C code to obtain accurate and consistent times at the level of individual compound code sections. This tool is used in the ASP Hardware/Soffware Codesign project. The results from thi...

Journal: :Softw., Pract. Exper. 2006
Walter Binder

This article presents a novel framework for the sampling-based profiling of Java programs, which relies on program transformation techniques. We exploit bytecode instruction counting to regularly activate a user-defined profiling agent, which processes the current call stack. This approach has several advantages, such as making the instrumentation entirely portable, generating reproducible prof...

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