Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences

Jahn, Katharina

Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences

Jahn K (2010)
In: Proc. RECOMB-CG., 6398(9). Mary Ann Liebert Inc: 264-277.

Konferenzbeitrag | Veröffentlicht | Englisch

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DOI

https://doi.org/10.1089/cmb.2011.0132

Autor*in

Jahn, Katharina^UniBi

Einrichtung

Technische Fakultät
Centrum für Biotechnologie > Institut für Bioinformatik

Erscheinungsjahr

2010

Titel des Konferenzbandes

Proc. RECOMB-CG

Band

6398

Ausgabe

9

Seite(n)

264-277

ISSN

1066-5277

Page URI

https://pub.uni-bielefeld.de/record/2309029

Zitieren

Jahn K. Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences. In: Proc. RECOMB-CG. Vol 6398. Mary Ann Liebert Inc; 2010: 264-277.

Jahn, K. (2010). Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences. Proc. RECOMB-CG, 6398, 264-277. Mary Ann Liebert Inc. https://doi.org/10.1089/cmb.2011.0132

Jahn, Katharina. 2010. “Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences”. In Proc. RECOMB-CG, 6398:264-277. Mary Ann Liebert Inc.

Jahn, K. (2010). “Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences” in Proc. RECOMB-CG, vol. 6398, (Mary Ann Liebert Inc), 264-277.

Jahn, K., 2010. Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences. In Proc. RECOMB-CG. no.6398 Mary Ann Liebert Inc, pp. 264-277.

K. Jahn, “Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences”, Proc. RECOMB-CG, vol. 6398, Mary Ann Liebert Inc, 2010, pp.264-277.

Jahn, K.: Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences. Proc. RECOMB-CG. 6398, p. 264-277. Mary Ann Liebert Inc (2010).

Jahn, Katharina. “Efficient Computation of Approximate Gene Clusters Based on Reference Occurrences”. Proc. RECOMB-CG. Mary Ann Liebert Inc, 2010.Vol. 6398. 264-277.

10 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

A Biclique Approach to Reference-Anchored Gene Blocks and Its Applications to Genomic Islands.
Benshahar A, Chalifa-Caspi V, Hermelin D, Ziv-Ukelson M., J Comput Biol 25(2), 2018
PMID: 29028176

GraphTeams: a method for discovering spatial gene clusters in Hi-C sequencing data.
Schulz T, Stoye J, Doerr D., BMC Genomics 19(suppl 5), 2018
PMID: 29745835

LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis.
Barbosa E, Röttger R, Hauschild AC, de Castro Soares S, Böcker S, Azevedo V, Baumbach J., J Integr Bioinform 14(2), 2017
PMID: 28678736

readat: An R package for reading and working with SomaLogic ADAT files.
Cotton RJ, Graumann J., BMC Bioinformatics 17(1), 2016
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Finding approximate gene clusters with Gecko 3.
Winter S, Jahn K, Wehner S, Kuchenbecker L, Marz M, Stoye J, Böcker S., Nucleic Acids Res 44(20), 2016
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Gene expansion shapes genome architecture in the human pathogen Lichtheimia corymbifera: an evolutionary genomics analysis in the ancient terrestrial mucorales (Mucoromycotina).
Schwartze VU, Winter S, Shelest E, Marcet-Houben M, Horn F, Wehner S, Linde J, Valiante V, Sammeth M, Riege K, Nowrousian M, Kaerger K, Jacobsen ID, Marz M, Brakhage AA, Gabaldón T, Böcker S, Voigt K., PLoS Genet 10(8), 2014
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Identifying gene clusters by discovering common intervals in indeterminate strings.
Doerr D, Stoye J, Böcker S, Jahn K., BMC Genomics 15 Suppl 6(), 2014
PMID: 25571793

Statistics for approximate gene clusters.
Jahn K, Winter S, Stoye J, Böcker S., BMC Bioinformatics 14 Suppl 15(), 2013
PMID: 24564620

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