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Bioinformatics
Article . 2008 . Peer-reviewed
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Bioinformatics
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Bioinformatics
Article . 2008
DBLP
Article . 2020
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GENESIS: genome evolution scenarios

Authors: Simon Gog; Martin Bader; Enno Ohlebusch;

GENESIS: genome evolution scenarios

Abstract

Abstract Summary: We implemented a software tool called GENESIS for three different genome rearrangement problems: Sorting a unichromosomal genome by weighted reversals and transpositions (SwRT), sorting a multichromosomal genome by reversals, translocations, fusions and fissions (SRTl), and sorting a multichromosomal genome by weighted reversals, translocations, fusions, fissions and transpositions (SwRTTl). Availability: Source code can be obtained by the authors, or use the web interface http://www.uni-ulm.de/in/theo/research/genesis.html Contact: simon.gog@uni-ulm.de

Related Organizations
Keywords

Drosophila melanogaster, Genome, Anopheles, Animals, DNA, Biological Evolution, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
gold