ZCURVE_CoV: a new system to recognize protein coding genes in coronavirus genomes, and its applications in analyzing SARS-CoV genomes. (Q52012642)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:12859968%20AND%20SRC:MED&resulttype=core&format=json

5 November 2019

title

ZCURVE_CoV: a new system to recognize protein coding genes in coronavirus genomes, and its applications in analyzing SARS-CoV genomes (English)

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5 November 2019

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2

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5 November 2019

author name string

Ling-Ling Chen

series ordinal

1

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:12859968%20AND%20SRC:MED&resulttype=core&format=json

5 November 2019

Ren Zhang

series ordinal

3

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5 November 2019

Chun-Ting Zhang

series ordinal

4

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5 November 2019

language of work or name

English

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publication date

1 July 2003

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Biochemical and Biophysical Research Communications

5 November 2019

published in

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5 November 2019

volume

307

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5 November 2019

issue

2

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5 November 2019

page(s)

382-388

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Coronavirus as a possible cause of severe acute respiratory syndrome

5 November 2019

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ZCURVE: a new system for recognizing protein-coding genes in bacterial and archaeal genomes

7 January 2021

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Analysis of distribution of bases in the coding sequences by a diagrammatic technique

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Recognition of protein coding genes in the yeast genome at better than 95% accuracy based on the Z curve

7 January 2021

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The extent of codon usage bias in human RNA viruses and its evolutionary origin

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CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice

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10.1016/S0006-291X(03)01192-6

7 January 2021

Identifiers

DOI

1 reference

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5 November 2019

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