4.7 Article

Metaphor: Finding Bi-directional Best Hit homology relationships in (meta) genomic datasets

期刊

GENOMICS
卷 104, 期 6, 页码 459-463

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygeno.2014.10.008

关键词

Metagenomics; Genomics; Bi-directional Best Hit; homology; BLAST

资金

  1. Science Foundation Ireland [11/SIRG/B2162]
  2. Government of Ireland Department of Agriculture Fisheries and Food/Health Research Board Food for Health Research Initiative award
  3. Science Foundation Ireland (SFI) [11/SIRG/B2162] Funding Source: Science Foundation Ireland (SFI)

向作者/读者索取更多资源

As the number of assembled genome and metagenome sequences continue to grow at an ever-increasing pace, so does the need for fast, flexible and automated pipelines for generating meaningful homologous relationships within and between these (meta) genomes. Such relationships, or lack thereof, are crucial for differentiating between microbial organisms and environments at compositional, functional and phylogenetic levels. Metaphor is a standalone application that identifies core genes, unique genes, orthologs and paralogs in complex genomic datasets. It is not only limited to isolate genomes, but can also be applied to metagenomes due to its flexible implementation of Bi-directional Best Hit analysis. Thus, Metaphor can be used for a variety of functional and phylogenetic applications on a multitude of (meta) genome datasets. (C) 2014 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据