Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins (Q33446160)

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English	Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins	scientific article

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scholarly article

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Europe PubMed Central

PubMed publication ID

26 July 2017

Integrative analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: a non-linear model to predict abundance of undetected proteins (English)

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Europe PubMed Central

PubMed publication ID

26 July 2017

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Desulfovibrio vulgaris

object named as

Desulfovibrio vulgaris

1 reference

based on heuristic

inferred from title

author name string

Wandaliz Torres-García

1

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Europe PubMed Central

PubMed publication ID

26 July 2017

Weiwen Zhang

2

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Europe PubMed Central

PubMed publication ID

26 July 2017

George C Runger

3

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Europe PubMed Central

PubMed publication ID

26 July 2017

Roger H Johnson

4

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Europe PubMed Central

PubMed publication ID

26 July 2017

Deirdre R Meldrum

5

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Europe PubMed Central

PubMed publication ID

26 July 2017

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publication date

15 May 2009

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Europe PubMed Central

PubMed publication ID

26 July 2017

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Europe PubMed Central

PubMed publication ID

26 July 2017

25

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Europe PubMed Central

PubMed publication ID

26 July 2017

15

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Europe PubMed Central

PubMed publication ID

26 July 2017

1905-1914

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Europe PubMed Central

PubMed publication ID

26 July 2017

Integrative analysis of transcriptomic and proteomic data: challenges, solutions and applications

1 reference

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Correlation of mRNA expression and protein abundance affected by multiple sequence features related to translational efficiency in Desulfovibrio vulgaris: a quantitative analysis

1 reference

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Salt stress in Desulfovibrio vulgaris Hildenborough: an integrated genomics approach

1 reference

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Integrated analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: zero-inflated Poisson regression models to predict abundance of undetected proteins

1 reference

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Guidelines for the next 10 years of proteomics

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The MicrobesOnline Web site for comparative genomics

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The genome sequence of the anaerobic, sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough

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21 June 2018

Interplay of transcriptomics and proteomics

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Osteopontin regulation by inorganic phosphate is ERK1/2-, protein kinase C-, and proteasome-dependent

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Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae

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Identification of a gene causing human cytochrome c oxidase deficiency by integrative genomics

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Serial analysis of gene expression and cancer

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Gene expression analysis using oligonucleotide arrays produced by maskless photolithography

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Global analysis of gene expression in yeast

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Analysis of mRNA expression and protein abundance data: an approach for the comparison of the enrichment of features in the cellular population of proteins and transcripts

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Integrated genomic and proteomic analyses of a systematically perturbed metabolic network

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Correlation between protein and mRNA abundance in yeast

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Post-transcriptional expression regulation in the yeast Saccharomyces cerevisiae on a genomic scale.

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Correlation of proteomic and transcriptomic profiles of Staphylococcus aureus during the post-exponential phase of growth.

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Global transcriptomic analysis of Desulfovibrio vulgaris on different electron donors

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Greedy function approximation: A gradient boosting machine

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A proteomic view ofDesulfovibrio vulgaris metabolism as determined by liquid chromatography coupled with tandem mass spectrometry

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Correlation between mRNA and protein abundance in Desulfovibrio vulgaris: a multiple regression to identify sources of variations

1 reference

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12 December 2020

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10.1093/BIOINFORMATICS/BTP325

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Europe PubMed Central

PubMed publication ID

26 July 2017

DBLP publication ID

journals/bioinformatics/Torres-GarciaZRJM09

1 reference

DBLP Dataset 2021-01-02

28 January 2021

PMC publication ID

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Europe PubMed Central

PubMed publication ID

26 July 2017

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

26 July 2017

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