Detecting Sequence Homology at the Gene Cluster Level with MultiGeneBlast

By Marnix H. Medema, Eriko Takano, Rainer Breitling. Molecular biology and evolution, 2013

328 citations recorded by the source corpus.

The genes encoding many biomolecular systems and pathways are genomically organized in operons or gene clusters. With MultiGeneBlast, we provide a user-friendly and effective tool to perform homology searches with operons or gene clusters as basic units, instead of single genes. The contextualization offered by MultiGeneBlast allows users to get a better understanding of the function, evolutionary history, and practical applications of such genomic regions. The tool is fully equipped with applications to generate search databases from GenBank or from the user’s own sequence data. Finally, an architecture search mode allows searching for gene clusters with novel configurations, by detecting genomic regions with any user-specified combination of genes. Sources, precompiled binaries, and a graphical tutorial of MultiGeneBlast are freely available from http://multigeneblast.sourceforge.net/.

Subfields: Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/ece19d91b496a342478151191ac85402ff6bac30

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

  1. Michael A. Fischbach
  2. Marnix H. Medema
  3. Tilmann Weber
  4. Kai Blin
  5. Y. Chooi
  6. Cameron L. M. Gilchrist
  7. Eriko Takano
  8. Rainer Breitling

In Pharmacology

  1. Michael A. Fischbach
  2. Marnix H. Medema
  3. Tilmann Weber
  4. Kai Blin
  5. Y. Chooi
  6. Cameron L. M. Gilchrist
  7. Eriko Takano
  8. Rainer Breitling

Citations in the corpus