(Q48466246)

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Incorporation of splice site probability models for non-canonical introns improves gene structure prediction in plants.

scientific article published in November 2005

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Europe PubMed Central

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16306388

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11 February 2018

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http://europepmc.org/abstract/MED/16306388

title

Incorporation of splice site probability models for non-canonical introns improves gene structure prediction in plants. (English)

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16306388

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11 February 2018

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Michael E Sparks

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1

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16306388

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11 February 2018

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Volker Brendel

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16306388

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11 February 2018

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1 November 2005

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16306388

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11 February 2018

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http://europepmc.org/abstract/MED/16306388

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Bioinformatics

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16306388

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11 February 2018

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http://europepmc.org/abstract/MED/16306388

volume

21 Suppl 3

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16306388

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iii20-30

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16306388

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10.1093/BIOINFORMATICS/BTI1205

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Europe PubMed Central

PubMed publication ID

16306388

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11 February 2018

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http://europepmc.org/abstract/MED/16306388

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journals/bioinformatics/SparksB05

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DBLP Dataset 2021-01-02

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28 January 2021

PubMed publication ID

16306388

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Europe PubMed Central

PubMed publication ID

16306388

retrieved

11 February 2018

reference URL

http://europepmc.org/abstract/MED/16306388

ResearchGate publication ID

7463210

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(Q48466246)

Incorporation of splice site probability models for non-canonical introns improves gene structure prediction in plants.

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