A multiple-alignment based primer design algorithm for genetically highly variable DNA targets.

abstract：BACKGROUND:Because common complex diseases are affected by multiple genes and environmental factors, it is essential to investigate gene-gene and/or gene-environment interactions to understand genetic architecture of complex diseases. After the great success of large scale genome-wide association (GWA) studies using th...

journal_title：BMC bioinformatics

authors： Oh S,Lee J,Kwon MS,Weir B,Ha K,Park T

更新日期：2012-06-11 00:00:00

abstract：BACKGROUND:With the introduction of tissue microarrays (TMAs) researchers can investigate gene and protein expression in tissues on a high-throughput scale. TMAs generate a wealth of data calling for extended, high level data management. Enhanced data analysis and systematic data management are required for traceabilit...

journal_title：BMC bioinformatics

authors： Thallinger GG,Baumgartner K,Pirklbauer M,Uray M,Pauritsch E,Mehes G,Buck CR,Zatloukal K,Trajanoski Z

更新日期：2007-03-07 00:00:00

abstract：BACKGROUND:DNA methylation patterns store epigenetic information in the vast majority of eukaryotic species. The relatively high costs and technical challenges associated with the detection of DNA methylation however have created a bias in the number of methylation studies towards model organisms. Consequently, it rema...

journal_title：BMC bioinformatics

authors： Bulla I,Aliaga B,Lacal V,Bulla J,Grunau C,Chaparro C

更新日期：2018-03-27 00:00:00

abstract：BACKGROUND:Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compound...

journal_title：BMC bioinformatics

authors： Le Guilloux V,Schmidtke P,Tuffery P

更新日期：2009-06-02 00:00:00

abstract：BACKGROUND:The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST clustering, the process of grouping of original fragments according to their annotation, similarity to known genomic DNA or each other. Cluste...

journal_title：BMC bioinformatics

authors： Ptitsyn A,Hide W

更新日期：2005-07-15 00:00:00

abstract：BACKGROUND:Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. RESULTS:He...

journal_title：BMC bioinformatics

authors： Sanli K,Karlsson FH,Nookaew I,Nielsen J

更新日期：2013-02-01 00:00:00

abstract：BACKGROUND:Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the MVs are not treated,...

journal_title：BMC bioinformatics

authors： de Brevern AG,Hazout S,Malpertuy A

更新日期：2004-08-23 00:00:00

abstract：BACKGROUND:Recently, DNA methylation has drawn great attention due to its strong correlation with abnormal gene activities and informative representation of the cancer status. As a number of studies focus on DNA methylation signatures in cancer, demand for utilizing publicly available methylome dataset has been increas...

journal_title：BMC bioinformatics

authors： Choi J,Chae H

更新日期：2020-05-11 00:00:00

abstract：BACKGROUND:Protein solvent accessibility prediction is a pivotal intermediate step towards modeling protein tertiary structures directly from one-dimensional sequences. It also plays an important part in identifying protein folds and domains. Although some methods have been presented to the protein solvent accessibilit...

journal_title：BMC bioinformatics

authors： Fan C,Liu D,Huang R,Chen Z,Deng L

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:X-converting enzyme (XCE) involved in nervous control of respiration, is a member of the M13 family of zinc peptidases, for which no natural substrate has been identified yet. In contrast, it's well characterized homologue endothelin-converting enzyme-1 (ECE-1) showed broad substrate specificity and acts as ...

journal_title：BMC bioinformatics

authors： Ul-Haq Z,Iqbal S,Moin ST

更新日期：2012-11-01 00:00:00

abstract：BACKGROUND:The improvements of high throughput technologies have produced large amounts of multi-omics experiments datasets. Initial analysis of these data has revealed many concurrent gene alterations within single dataset or/and among multiple omics datasets. Although powerful bioinformatics pipelines have been devel...

journal_title：BMC bioinformatics

authors： Chen D,Zhang F,Zhao Q,Xu J

更新日期：2019-11-08 00:00:00

abstract：BACKGROUND:Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel brightness correction m...

journal_title：BMC bioinformatics

authors： Ou Q,Xiao J,Yu L,Wu K,Xiong B

更新日期：2020-03-19 00:00:00

abstract：BACKGROUND:Simulated nucleotide or amino acid sequences are frequently used to assess the performance of phylogenetic reconstruction methods. BEAST, a Bayesian statistical framework that focuses on reconstructing time-calibrated molecular evolutionary processes, supports a wide array of evolutionary models, but lacked ...

journal_title：BMC bioinformatics

authors： Bielejec F,Lemey P,Carvalho LM,Baele G,Rambaut A,Suchard MA

更新日期：2014-05-07 00:00:00

abstract：BACKGROUND:Numerous models for use in interpreting quantitative PCR (qPCR) data are present in recent literature. The most commonly used models assume the amplification in qPCR is exponential and fit an exponential model with a constant rate of increase to a select part of the curve. Kinetic theory may be used to model...

journal_title：BMC bioinformatics

authors： Cobbs G

更新日期：2012-08-16 00:00:00

abstract：BACKGROUND:Uncovering the relationship between the conserved chromosomal segments and the functional relatedness of elements within these segments is an important question in computational genomics. We build upon the series of works on gene teams and homology teams. RESULTS:Our primary contribution is a local sliding-...

journal_title：BMC bioinformatics

authors： Sarkar A,Soueidan H,Nikolski M

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:Feed-forward loops (FFLs), consisting of miRNAs, transcription factors (TFs) and their common target genes, have been validated to be important for the initialization and development of complex diseases, including cancer. Esophageal Carcinoma (ESCA) and Stomach Adenocarcinoma (STAD) are two types of malignan...

journal_title：BMC bioinformatics

authors： Qin G,Yang L,Ma Y,Liu J,Huo Q

更新日期：2019-12-30 00:00:00

abstract：BACKGROUND:Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited for annotating gene functions and dissecting specific pathway structures. However, our understanding is rather limited to the relationship bet...

journal_title：BMC bioinformatics

authors： You ZH,Yin Z,Han K,Huang DS,Zhou X

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then used to group together genes based on their similarity in expression profiles. Genes in each group are probably functionally related. The functi...

journal_title：BMC bioinformatics

authors： Tchagang AB,Gawronski A,Bérubé H,Phan S,Famili F,Pan Y

更新日期：2010-05-06 00:00:00

abstract：BACKGROUND:High-throughput methods can directly detect the set of interacting proteins in model species but the results are often incomplete and exhibit high false positive and false negative rates. A number of researchers have recently presented methods for integrating direct and indirect data for predicting interacti...

journal_title：BMC bioinformatics

authors： Qi Y,Klein-Seetharaman J,Bar-Joseph Z

更新日期：2007-01-01 00:00:00

abstract：BACKGROUND:Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between antigenicity, solvent accessibility, and flexibility in proteins was demonstrated. Subsequently, Thornton and colleagues proposed a method for ...

journal_title：BMC bioinformatics

authors： Ponomarenko J,Bui HH,Li W,Fusseder N,Bourne PE,Sette A,Peters B

更新日期：2008-12-02 00:00:00

abstract：BACKGROUND:We introduce a novel method, called PuFFIN, that takes advantage of paired-end short reads to build genome-wide nucleosome maps with larger numbers of detected nucleosomes and higher accuracy than existing tools. In contrast to other approaches that require users to optimize several parameters according to t...

journal_title：BMC bioinformatics

authors： Polishko A,Bunnik EM,Le Roch KG,Lonardi S

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation. Whether the task is to identify co-expressed genes in large-scale expression surveys or to predict combinations of gene knockouts which would elicit a similar phe...

journal_title：BMC bioinformatics

authors： Lee JY,Fujimoto GM,Wilson R,Wiley HS,Payne SH

更新日期：2018-06-11 00:00:00

abstract：BACKGROUND:The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gol...

journal_title：BMC bioinformatics

authors： Hibbs MA,Dirksen NC,Li K,Troyanskaya OG

更新日期：2005-05-12 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating ...

journal_title：BMC bioinformatics

authors： Doran AG,Creevey CJ

更新日期：2013-02-08 00:00:00

abstract：BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

journal_title：BMC bioinformatics

authors： Sarda D,Chua GH,Li KB,Krishnan A

更新日期：2005-06-17 00:00:00

abstract：BACKGROUND:RNA secondary structure prediction, or folding, is a classic problem in bioinformatics: given a sequence of nucleotides, the aim is to predict the base pairs formed in its three dimensional conformation. The inverse problem of designing a sequence folding into a particular target structure has only more rece...

journal_title：BMC bioinformatics

authors： Lyngsø RB,Anderson JW,Sizikova E,Badugu A,Hyland T,Hein J

更新日期：2012-10-09 00:00:00

abstract：BACKGROUND:In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS:Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various sample...

journal_title：BMC bioinformatics

authors： Tibshirani R

更新日期：2006-03-02 00:00:00

abstract：BACKGROUND:Interaction of a drug or chemical with a biological system can result in a gene-expression profile or signature characteristic of the event. Using a suitably robust algorithm these signatures can potentially be used to connect molecules with similar pharmacological or toxicological properties by gene express...

journal_title：BMC bioinformatics

authors： Zhang SD,Gant TW

更新日期：2008-06-02 00:00:00

abstract：BACKGROUND:The rabbit is an important model organism used in a wide range of biomedical research. However, the rabbit genome is still sparsely annotated, thus prohibiting extensive functional analysis of gene sets derived from whole-genome experiments. We developed a web-based application that provides augmented annota...

journal_title：BMC bioinformatics

authors： Craig DB,Kannan S,Dombkowski AA

更新日期：2012-05-08 00:00:00

abstract：BACKGROUND:DNA copy number variation (CNV) has been recognized as an important source of genetic variation. Array comparative genomic hybridization (aCGH) is commonly used for CNV detection, but the microarray platform has a number of inherent limitations. RESULTS:Here, we describe a method to detect copy number varia...

journal_title：BMC bioinformatics

authors： Xie C,Tammi MT

更新日期：2009-03-06 00:00:00