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Prediction of signal recognition particle RNA genes - Marco Regalia
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Marco Regalia:

Prediction of signal recognition particle RNA genes - Taschenbuch

2010, ISBN: 3639229975

ID: 9777080215

[EAN: 9783639229974], Neubuch, [PU: VDM Verlag Feb 2010], This item is printed on demand - Print on Demand Titel. Neuware - We describe a method for prediction of genes that encode SRP RNA. A heuristic search for the strongly conserved helix 8 motif is combined with covariance models that are based on previously known SRP RNA sequences. By screening available genomic sequences, we have identified a large number of novel SRP RNA genes and we can account for at least one gene in every genome that has been completely sequenced. Novel bacterial RNAs include that of Thermotoga maritima that, unlike all other non-gram positive eubacteria, is predicted to have an Alu domain. We have also found the RNAs of Lactococcus lactis and Staphylococcus to have an unusual UGAC tetraloop in helix 8 instead of the normal GNRA sequence. An investigation of yeast RNAs reveals conserved sequence elements of the Alu domain that aid in the analysis of these RNAs. Inspection of the human genome reveals only two likely genes, both on chromosome 14. Our method for prediction of SRP RNA genes is the first convenient tool for this task that demonstrated to be efficient and accurate and it should be therefore helpful in genome annotation. 76 pp. Englisch

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Prediction of signal recognition particle RNA genes
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ISBN: 9783639229974

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We describe a method for prediction of genes that encode SRP RNA. A heuristic search for the strongly conserved helix 8 motif is combined with covariance models that are based on previously known SRP RNA sequences. By screening available genomic sequences, we have identified a large number of novel SRP RNA genes and we can account for at least one gene in every genome that has been completely sequenced. Novel bacterial RNAs include that of Thermotoga maritima that, unlike all other non-gram positive eubacteria, is predicted to have an Alu domain. We have also found the RNAs of Lactococcus lactis and Staphylococcus to have an unusual UGAC tetraloop in helix 8 instead of the normal GNRA sequence. An investigation of yeast RNAs reveals conserved sequence elements of the Alu domain that aid in the analysis of these RNAs. Inspection of the human genome reveals only two likely genes, both on chromosome 14. Our method for prediction of SRP RNA genes is the first convenient tool for this task that demonstrated to be efficient and accurate and it should be therefore helpful in genome annotation. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Biologie / Genetik & Gentechnik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Prediction of signal recognition particle RNA genes - Regalia, Marco
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Regalia, Marco:
Prediction of signal recognition particle RNA genes - Taschenbuch

2010

ISBN: 9783639229974

[ED: Softcover], [PU: Vdm Verlag Dr. Müller], We describe a method for prediction of genes that encode SRP RNA. A heuristic search for the strongly conserved helix 8 motif is combined with covariance models that are based on previously known SRP RNA sequences. By screening available genomic sequences, we have identified a large number of novel SRP RNA genes and we can account for at least one gene in every genome that has been completely sequenced. Novel bacterial RNAs include that of Thermotoga maritima that, unlike all other non-gram positive eubacteria, is predicted to have an Alu domain. We have also found the RNAs of Lactococcus lactis and Staphylococcus to have an unusual UGAC tetraloop in helix 8 instead of the normal GNRA sequence. An investigation of yeast RNAs reveals conserved sequence elements of the Alu domain that aid in the analysis of these RNAs. Inspection of the human genome reveals only two likely genes, both on chromosome 14. Our method for prediction of SRP RNA genes is the first convenient tool for this task that demonstrated to be efficient and accurate and it should be therefore helpful in genome annotation.2010. 76 S.Versandfertig in 3-5 Tagen, [SC: 0.00], Neuware, gewerbliches Angebot

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Prediction of signal recognition particle RNA genes - Regalia, Marco
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Regalia, Marco:
Prediction of signal recognition particle RNA genes - Taschenbuch

2010, ISBN: 3639229975

Gebundene Ausgabe, ID: 6283061

A heuristic method combined with covariance models for prediction of genes that encode SRP RNA - Buch, gebundene Ausgabe, 76 S., Beilagen: Paperback, Erschienen: 2010 VDM Verlag, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Prediction of signal recognition particle RNA genes - Marco Regalia
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Marco Regalia:
Prediction of signal recognition particle RNA genes - Taschenbuch

ISBN: 9783639229974

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Prediction of signal recognition particle RNA genes: A heuristic method combined with covariance models for prediction of genes that encode SRP RNA
Autor:

Regalia, Marco

Titel:

Prediction of signal recognition particle RNA genes: A heuristic method combined with covariance models for prediction of genes that encode SRP RNA

ISBN-Nummer:

3639229975

We describe a method for prediction of genes that encode SRP RNA. A heuristic search for the strongly conserved helix 8 motif is combined with covariance models that are based on previously known SRP RNA sequences. By screening available genomic sequences, we have identified a large number of novel SRP RNA genes and we can account for at least one gene in every genome that has been completely sequenced. Novel bacterial RNAs include that of Thermotoga maritima that, unlike all other non-gram positive eubacteria, is predicted to have an Alu domain. We have also found the RNAs of Lactococcus lactis and Staphylococcus to have an unusual UGAC tetraloop in helix 8 instead of the normal GNRA sequence. An investigation of yeast RNAs reveals conserved sequence elements of the Alu domain that aid in the analysis of these RNAs. Inspection of the human genome reveals only two likely genes, both on chromosome 14. Our method for prediction of SRP RNA genes is the first convenient tool for this task that demonstrated to be efficient and accurate and it should be therefore helpful in genome annotation.

Detailangaben zum Buch - Prediction of signal recognition particle RNA genes: A heuristic method combined with covariance models for prediction of genes that encode SRP RNA


EAN (ISBN-13): 9783639229974
ISBN (ISBN-10): 3639229975
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Vdm Verlag Feb 2010

Buch in der Datenbank seit 22.06.2009 08:01:42
Buch zuletzt gefunden am 08.09.2016 12:12:02
ISBN/EAN: 3639229975

ISBN - alternative Schreibweisen:
3-639-22997-5, 978-3-639-22997-4

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