Identifying Inter-Genomic Repeats Using Fast, Approximate Methods for Betweenness Centrality

نویسندگان

  • Jay Ghurye
  • Christopher M. Hill
  • Mihai Pop
چکیده

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Better Identification of Repeats in Metagenomic Scaffolding

Genomic repeats are the most important challenge in genomic assembly. While for single genomes the effect of repeats is largely addressed by modern long-read sequencing technologies, in metagenomic data intra-genome and, more importantly, inter-genome repeats continue to be a significant impediment to effective genome reconstruction. Detecting repeats in metagenomic samples is complicated by ch...

متن کامل

A Fast Approach to the Detection of All-Purpose Hubs in Complex Networks with Chemical Applications

A novel algorithm for the fast detection of hubs in chemical networks is presented. The algorithm identifies a set of nodes in the network as most significant, aimed to be the most effective points of distribution for fast, widespread coverage throughout the system. We show that our hubs have in general greater closeness centrality and betweenness centrality than vertices with maximal degree, w...

متن کامل

Efficient Approximate Computation of Betweenness Centrality

Betweenness Centrality (BC) is a powerful metric for identifying central nodes in complex network analysis, but its computation in large and dynamic systems is costly. Most of the previous approximations for computing BC are either restricted to only one type of networks, or are too computationally inefficient to be applied to large or dynamically changing networks. We explore two approximative...

متن کامل

Fast exact and approximate computation of betweenness centrality in social networks

Social networks have demonstrated in the last few years to be a powerful and flexible concept useful to represent and analyze data emerging from social interactions and social activities. The study of these networks can thus provide a deeper understanding of many emergent global phenomena. The amount of data available in the form of social networks is growing by the day. This poses many computa...

متن کامل

Two betweenness centrality measures based on Randomized Shortest Paths

This paper introduces two new closely related betweenness centrality measures based on the Randomized Shortest Paths (RSP) framework, which fill a gap between traditional network centrality measures based on shortest paths and more recent methods considering random walks or current flows. The framework defines Boltzmann probability distributions over paths of the network which focus on the shor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015