E-CAI: a novel server to estimate an expected value of Codon Adaptation Index (eCAI).

Abstract:

BACKGROUND:The Codon Adaptation Index (CAI) is a measure of the synonymous codon usage bias for a DNA or RNA sequence. It quantifies the similarity between the synonymous codon usage of a gene and the synonymous codon frequency of a reference set. Extreme values in the nucleotide or in the amino acid composition have a large impact on differential preference for synonymous codons. It is thence essential to define the limits for the expected value of CAI on the basis of sequence composition in order to properly interpret the CAI and provide statistical support to CAI analyses. Though several freely available programs calculate the CAI for a given DNA sequence, none of them corrects for compositional biases or provides confidence intervals for CAI values. RESULTS:The E-CAI server, available at http://genomes.urv.es/CAIcal/E-CAI, is a web-application that calculates an expected value of CAI for a set of query sequences by generating random sequences with G+C and amino acid content similar to those of the input. An executable file, a tutorial, a Frequently Asked Questions (FAQ) section and several examples are also available. To exemplify the use of the E-CAI server, we have analysed the codon adaptation of human mitochondrial genes that codify a subunit of the mitochondrial respiratory chain (excluding those genes that lack a prokaryotic orthologue) and are encoded in the nuclear genome. It is assumed that these genes were transferred from the proto-mitochondrial to the nuclear genome and that its codon usage was then ameliorated. CONCLUSION:The E-CAI server provides a direct threshold value for discerning whether the differences in CAI are statistically significant or whether they are merely artifacts that arise from internal biases in the G+C composition and/or amino acid composition of the query sequences.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Puigbò P,Bravo IG,Garcia-Vallvé S

doi

10.1186/1471-2105-9-65

subject

Has Abstract

pub_date

2008-01-29 00:00:00

pages

65

issn

1471-2105

pii

1471-2105-9-65

journal_volume

9

pub_type

杂志文章
  • Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information.

    abstract:BACKGROUND:High-throughput technology allows for genome-wide measurements at different molecular levels for the same patient, e.g. single nucleotide polymorphisms (SNPs) and gene expression. Correspondingly, it might be beneficial to also integrate complementary information from different molecular levels when building...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1183-6

    authors: Hieke S,Benner A,Schlenl RF,Schumacher M,Bullinger L,Binder H

    更新日期:2016-08-30 00:00:00

  • Taking U out, with two nucleases?

    abstract:BACKGROUND:REX1 and REX2 are protein components of the RNA editing complex (the editosome) and function as exouridylylases. The exact roles of REX1 and REX2 in the editosome are unclear and the consequences of the presence of two related proteins are not fully understood. Here, a variety of computational studies were p...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-305

    authors: Mian IS,Worthey EA,Salavati R

    更新日期:2006-06-16 00:00:00

  • Effective automated pipeline for 3D reconstruction of synapses based on deep learning.

    abstract:BACKGROUND:The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate the burden of synaps...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2232-0

    authors: Xiao C,Li W,Deng H,Chen X,Yang Y,Xie Q,Han H

    更新日期:2018-07-13 00:00:00

  • BINDER: computationally inferring a gene regulatory network for Mycobacterium abscessus.

    abstract:BACKGROUND:Although many of the genic features in Mycobacterium abscessus have been fully validated, a comprehensive understanding of the regulatory elements remains lacking. Moreover, there is little understanding of how the organism regulates its transcriptomic profile, enabling cells to survive in hostile environmen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3042-8

    authors: Staunton PM,Miranda-CasoLuengo AA,Loftus BJ,Gormley IC

    更新日期:2019-09-10 00:00:00

  • Evaluation of absolute quantitation by nonlinear regression in probe-based real-time PCR.

    abstract:BACKGROUND:In real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all reactions, and precision may suffer if this condition is not met. Nonlinear regression analysis (NLR) or curve fitting has therefore been sugges...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-107

    authors: Goll R,Olsen T,Cui G,Florholmen J

    更新日期:2006-03-03 00:00:00

  • Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data.

    abstract:BACKGROUND:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3118-5

    authors: Chung NC,Miasojedow B,Startek M,Gambin A

    更新日期:2019-12-24 00:00:00

  • Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM).

    abstract:BACKGROUND:Understanding the relationship between the protein sequence and the 3D structure is a major research area in bioinformatics. The prediction of complete protein tertiary structure based only on sequence information is still an impractical work. This paper aims at revealing the hidden knowledge of the sequence...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S11-S15

    authors: Chen B,Johnson M

    更新日期:2009-10-08 00:00:00

  • In silico design of targeted SRM-based experiments.

    abstract::Selected reaction monitoring (SRM)-based proteomics approaches enable highly sensitive and reproducible assays for profiling of thousands of peptides in one experiment. The development of such assays involves the determination of retention time, detectability and fragmentation properties of peptides, followed by an op...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S16-S8

    authors: Nahnsen S,Kohlbacher O

    更新日期:2012-01-01 00:00:00

  • SPIDer: Saccharomyces protein-protein interaction database.

    abstract:BACKGROUND:Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell, experimentally or computationally, is an important first step toward understanding cellular function and machinery of a proteome. Solely deri...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S5-S16

    authors: Wu X,Zhu L,Guo J,Fu C,Zhou H,Dong D,Li Z,Zhang DY,Lin K

    更新日期:2006-12-18 00:00:00

  • Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads.

    abstract:BACKGROUND:Adapter trimming is a prerequisite step for analyzing next-generation sequencing (NGS) data when the reads are longer than the target DNA/RNA fragments. Although typically used in small RNA sequencing, adapter trimming is also used widely in other applications, such as genome DNA sequencing and transcriptome...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-182

    authors: Jiang H,Lei R,Ding SW,Zhu S

    更新日期:2014-06-12 00:00:00

  • SpliceMiner: a high-throughput database implementation of the NCBI Evidence Viewer for microarray splice variant analysis.

    abstract:BACKGROUND:There are many fewer genes in the human genome than there are expressed transcripts. Alternative splicing is the reason. Alternatively spliced transcripts are often specific to tissue type, developmental stage, environmental condition, or disease state. Accurate analysis of microarray expression data and des...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-75

    authors: Kahn AB,Ryan MC,Liu H,Zeeberg BR,Jamison DC,Weinstein JN

    更新日期:2007-03-05 00:00:00

  • Reordering based integrative expression profiling for microarray classification.

    abstract:BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S2-S1

    authors: Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

    更新日期:2012-03-13 00:00:00

  • GeneBins: a database for classifying gene expression data, with application to plant genome arrays.

    abstract:BACKGROUND:To interpret microarray experiments, several ontological analysis tools have been developed. However, current tools are limited to specific organisms. RESULTS:We developed a bioinformatics system to assign the probe set sequences of any organism to a hierarchical functional classification modelled on KEGG o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-87

    authors: Goffard N,Weiller G

    更新日期:2007-03-12 00:00:00

  • An SVM-based system for predicting protein subnuclear localizations.

    abstract:BACKGROUND:The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computational tool for the prediction of subnuclear and subcellular localizations generally applicable to protein sequences. The information on localiza...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-291

    authors: Lei Z,Dai Y

    更新日期:2005-12-07 00:00:00

  • Estimating the individualized HIV-1 genetic barrier to resistance using a nelfinavir fitness landscape.

    abstract:BACKGROUND:Failure on Highly Active Anti-Retroviral Treatment is often accompanied with development of antiviral resistance to one or more drugs included in the treatment. In general, the virus is more likely to develop resistance to drugs with a lower genetic barrier. Previously, we developed a method to reverse engin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-409

    authors: Theys K,Deforche K,Beheydt G,Moreau Y,van Laethem K,Lemey P,Camacho RJ,Rhee SY,Shafer RW,Van Wijngaerden E,Vandamme AM

    更新日期:2010-08-03 00:00:00

  • HAT: hypergeometric analysis of tiling-arrays with application to promoter-GeneChip data.

    abstract:BACKGROUND:Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is often employed in genome-wide investigations. A major challenge in the analysis of tiling-array data is to define regions-of-interest, i.e., conti...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-275

    authors: Taskesen E,Beekman R,de Ridder J,Wouters BJ,Peeters JK,Touw IP,Reinders MJ,Delwel R

    更新日期:2010-05-21 00:00:00

  • Predicting substrates of the human breast cancer resistance protein using a support vector machine method.

    abstract:BACKGROUND:Human breast cancer resistance protein (BCRP) is an ATP-binding cassette (ABC) efflux transporter that confers multidrug resistance in cancers and also plays an important role in the absorption, distribution and elimination of drugs. Prediction as to if drugs or new molecular entities are BCRP substrates sho...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-130

    authors: Hazai E,Hazai I,Ragueneau-Majlessi I,Chung SP,Bikadi Z,Mao Q

    更新日期:2013-04-15 00:00:00

  • Predicting Bevirimat resistance of HIV-1 from genotype.

    abstract:BACKGROUND:Maturation inhibitors are a new class of antiretroviral drugs. Bevirimat (BVM) was the first substance in this class of inhibitors entering clinical trials. While the inhibitory function of BVM is well established, the molecular mechanisms of action and resistance are not well understood. It is known that mu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-37

    authors: Heider D,Verheyen J,Hoffmann D

    更新日期:2010-01-20 00:00:00

  • Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

    abstract:BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3427-8

    authors: Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

    更新日期:2020-03-20 00:00:00

  • Towards integrative gene functional similarity measurement.

    abstract:BACKGROUND:In Gene Ontology, the "Molecular Function" (MF) categorization is a widely used knowledge framework for gene function comparison and prediction. Its structure and annotation provide a convenient way to compare gene functional similarities at the molecular level. The existing gene similarity measures, however...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S2-S5

    authors: Peng J,Wang Y,Chen J

    更新日期:2014-01-01 00:00:00

  • Statistical significance of quantitative PCR.

    abstract:BACKGROUND:PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection and processing strategies have been described for the implementation of quantitative PCR. However, they can be experimentally cumbersome, the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-131

    authors: Karlen Y,McNair A,Perseguers S,Mazza C,Mermod N

    更新日期:2007-04-20 00:00:00

  • Accuracy of RNA-Seq and its dependence on sequencing depth.

    abstract:BACKGROUND:The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common technique for surveying gene expression based on DNA sequencing. As it is not clear how increased sequencin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S13-S5

    authors: Cai G,Li H,Lu Y,Huang X,Lee J,Müller P,Ji Y,Liang S

    更新日期:2012-01-01 00:00:00

  • MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data.

    abstract:BACKGROUND:Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if biological measurements yield distributions that are not easily separable. RESULTS:We present Multire...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-240

    authors: Feigelman J,Theis FJ,Marr C

    更新日期:2014-07-11 00:00:00

  • Prioritization, clustering and functional annotation of MicroRNAs using latent semantic indexing of MEDLINE abstracts.

    abstract:BACKGROUND:The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this study, we present an automated text mining approach using Latent Semantic Indexing (LSI) for prioritization, clustering and functional annotat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1223-2

    authors: Roy S,Curry BC,Madahian B,Homayouni R

    更新日期:2016-10-06 00:00:00

  • Prediction of novel long non-coding RNAs based on RNA-Seq data of mouse Klf1 knockout study.

    abstract:BACKGROUND:Study on long non-coding RNAs (lncRNAs) has been promoted by high-throughput RNA sequencing (RNA-Seq). However, it is still not trivial to identify lncRNAs from the RNA-Seq data and it remains a challenge to uncover their functions. RESULTS:We present a computational pipeline for detecting novel lncRNAs fro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-331

    authors: Sun L,Zhang Z,Bailey TL,Perkins AC,Tallack MR,Xu Z,Liu H

    更新日期:2012-12-13 00:00:00

  • ORdensity: user-friendly R package to identify differentially expressed genes.

    abstract:BACKGROUND:Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may be key elements for a disease. With the increasing volume of data generated by modern biomedical ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3463-4

    authors: Martínez-Otzeta JM,Irigoien I,Sierra B,Arenas C

    更新日期:2020-04-07 00:00:00

  • PreBIND and Textomy--mining the biomedical literature for protein-protein interactions using a support vector machine.

    abstract:BACKGROUND:The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND) seeks to capture these data in a machine-rea...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-4-11

    authors: Donaldson I,Martin J,de Bruijn B,Wolting C,Lay V,Tuekam B,Zhang S,Baskin B,Bader GD,Michalickova K,Pawson T,Hogue CW

    更新日期:2003-03-27 00:00:00

  • A molecular model of the full-length human NOD-like receptor family CARD domain containing 5 (NLRC5) protein.

    abstract:BACKGROUND:Pattern recognition receptors of the immune system have key roles in the regulation of pathways after the recognition of microbial- and danger-associated molecular patterns in vertebrates. Members of NOD-like receptor (NLR) family typically function intracellularly. The NOD-like receptor family CARD domain c...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-275

    authors: Mótyán JA,Bagossi P,Benkő S,Tőzsér J

    更新日期:2013-09-17 00:00:00

  • On pairwise distances and median score of three genomes under DCJ.

    abstract::In comparative genomics, the rearrangement distance between two genomes (equal the minimal number of genome rearrangements required to transform them into a single genome) is often used for measuring their evolutionary remoteness. Generalization of this measure to three genomes is known as the median score (while a re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S19-S1

    authors: Aganezov S Jr,Alekseyev MA

    更新日期:2012-01-01 00:00:00

  • Predicting blood pressure from physiological index data using the SVR algorithm.

    abstract:BACKGROUND:Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control measures for blood pressure diseases. Traditional blood pressure measure...

    journal_title:BMC bioinformatics

    pub_type: 临床试验,杂志文章

    doi:10.1186/s12859-019-2667-y

    authors: Zhang B,Ren H,Huang G,Cheng Y,Hu C

    更新日期:2019-02-28 00:00:00