Literature DB >> 32160033

PyGTED: Python Application for Computing Graph Traversal Edit Distance.

Ali Ebrahimpour Boroojeny1, Akash Shrestha1, Ali Sharifi-Zarchi2, Suzanne Renick Gallagher1, Süleyman Cenk Sahinalp3, Hamidreza Chitsaz1.   

Abstract

Graph Traversal Edit Distance (GTED) is a measure of distance (or dissimilarity) between two graphs introduced. This measure is based on the minimum edit distance between two strings formed by the edge labels of respective Eulerian traversals of the two graphs. GTED was motivated by and provides the first mathematical formalism for sequence coassembly and de novo variation detection in bioinformatics. Many problems in applied machine learning deal with graphs (also called networks), including social networks, security, web data mining, protein function prediction, and genome informatics. The kernel paradigm beautifully decouples the learning algorithm from the underlying geometric space, which renders graph kernels important for the aforementioned applications. In this article, we introduce a tool, PyGTED to compute GTED. It implements the algorithm based on the polynomial time algorithm devised for it by the authors. Informally, the GTED is the minimum edit distance between two strings formed by the edge labels of respective Eulerian traversals of the two graphs.

Keywords:  clustering genera; coassembly; de novo variation detaction; graph comparison; graph kernel; linear programming

Mesh:

Year:  2020        PMID: 32160033      PMCID: PMC7207050          DOI: 10.1089/cmb.2019.0510

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  3 in total

1.  Graph Traversal Edit Distance and Extensions.

Authors:  Ali Ebrahimpour Boroojeny; Akash Shrestha; Ali Sharifi-Zarchi; Suzanne Renick Gallagher; S Cenk Sahinalp; Hamidreza Chitsaz
Journal:  J Comput Biol       Date:  2020-02-13       Impact factor: 1.479

2.  Identification of common molecular subsequences.

Authors:  T F Smith; M S Waterman
Journal:  J Mol Biol       Date:  1981-03-25       Impact factor: 5.469

3.  HyDA-Vista: towards optimal guided selection of k-mer size for sequence assembly.

Authors:  Basir Shariat; Narjes Sadat Movahedi; Hamidreza Chitsaz; Christina Boucher
Journal:  BMC Genomics       Date:  2014-12-12       Impact factor: 3.969

  3 in total
  1 in total

1.  Graph Traversal Edit Distance and Extensions.

Authors:  Ali Ebrahimpour Boroojeny; Akash Shrestha; Ali Sharifi-Zarchi; Suzanne Renick Gallagher; S Cenk Sahinalp; Hamidreza Chitsaz
Journal:  J Comput Biol       Date:  2020-02-13       Impact factor: 1.479

  1 in total

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