Time-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells.

abstract：BACKGROUND:Statistical models and methods that associate changes in the physicochemical properties of amino acids with natural selection at the molecular level typically do not take into account the correlations between such properties. We propose a Bayesian hierarchical regression model with a generalization of the Di...

journal_title：BMC bioinformatics

authors： Datta S,Rodriguez A,Prado R

更新日期：2012-10-30 00:00:00

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

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

abstract：BACKGROUND:Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are based in two dimensional space. RESULTS:We introduce the idea of visualising phylogenetic trees in three dimensional hyperbolic space with the Wa...

journal_title：BMC bioinformatics

authors： Hughes T,Hyun Y,Liberles DA

更新日期：2004-04-29 00:00:00

abstract：BACKGROUND:The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compare different clustering solutions when using the Mutual Information (MI) measure versus the use of the well known Euclidean distance and Pears...

journal_title：BMC bioinformatics

authors： Priness I,Maimon O,Ben-Gal I

更新日期：2007-03-30 00:00:00

abstract：BACKGROUND:Genetic variations predispose individuals to hereditary diseases, play important role in the development of complex diseases, and impact drug metabolism. The full information about the DNA variations in the genome of an individual is given by haplotypes, the ordered lists of single nucleotide polymorphisms (...

journal_title：BMC bioinformatics

authors： Ahn S,Vikalo H

更新日期：2015-07-16 00:00:00

abstract：BACKGROUND:As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on five microarray platforms. For most platforms, several different methods of data processing were considered. However, there was no similar consid...

journal_title：BMC bioinformatics

authors： Kerr KF

更新日期：2007-10-03 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interactions and pathogenicity occur through PPIs. Phytopathogenic bacteria infect hosts through attachment to host tissue, enzyme secretion, exopolysa...

journal_title：BMC bioinformatics

authors： Kim JG,Park D,Kim BC,Cho SW,Kim YT,Park YJ,Cho HJ,Park H,Kim KB,Yoon KO,Park SJ,Lee BM,Bhak J

更新日期：2008-01-24 00:00:00

abstract：BACKGROUND:Computational gene finding algorithms have proven their robustness in identifying genes in complete genomes. However, metagenomic sequencing has presented new challenges due to the incomplete and fragmented nature of the data. During the last few years, attempts have been made to extract complete and incompl...

journal_title：BMC bioinformatics

authors： El Allali A,Rose JR

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:This study addresses a recurrent biological problem, that is to define a formal clustering structure for a set of tissues on the basis of the relative abundance of multiple alternatively spliced isoforms mRNAs generated by the same gene. To this aim, we have used a model-based clustering approach, based on a...

journal_title：BMC bioinformatics

authors： Pelosi M,Alfò M,Martella F,Pappalardo E,Musarò A

更新日期：2015-09-15 00:00:00

abstract：BACKGROUND:High throughput experiments have generated a significantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation. Similarly, a comparative study of pr...

journal_title：BMC bioinformatics

authors： Ayub U,Haider I,Naveed H

更新日期：2020-11-04 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:Low diversity of the gut microbiome, often progressing to the point of intestinal domination by a single species, has been linked to poor outcomes in patients undergoing hematopoietic cell transplantation (HCT). Our ability to understand how certain organisms attain intestinal domination over others has been...

journal_title：BMC bioinformatics

authors： Kang JB,Siranosian BA,Moss EL,Banaei N,Andermann TM,Bhatt AS

更新日期：2019-12-02 00:00:00

abstract：BACKGROUND:In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently few choices for the analysis of a pair of microarrays where N = 1 in each condition. In this paper, we demonstrate the effectiveness of a new al...

journal_title：BMC bioinformatics

authors： Reid RW,Fodor AA

更新日期：2008-11-21 00:00:00

abstract：BACKGROUND:In the past decade, bioinformatics tools have matured enough to reliably perform sophisticated primary data analysis on Next Generation Sequencing (NGS) data, such as mapping, assemblies and variant calling, however, there is still a dire need for improvements in the higher level analysis such as NGS data or...

journal_title：BMC bioinformatics

authors： Hadj Khodabakhshi A,Fejes AP,Birol I,Jones SJ

更新日期：2013-05-28 00:00:00

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

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

更新日期：2019-02-28 00:00:00

abstract：BACKGROUND:Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there exist very few freeware tools and methods which provide automatic neuronal morphology quantification for pharmacological discovery. RESULTS:T...

journal_title：BMC bioinformatics

authors： Ho SY,Chao CY,Huang HL,Chiu TW,Charoenkwan P,Hwang E

更新日期：2011-06-08 00:00:00

abstract：BACKGROUND:The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression levels between conditions. The proposed PL-LM (Probe-Level Linear ...

journal_title：BMC bioinformatics

authors： Lemieux S

更新日期：2006-08-25 00:00:00

abstract：BACKGROUND:Affymetrix microarrays are used by many laboratories to generate gene expression profiles. Generally, only large differences (> 1.7-fold) between conditions have been reported. Computational methods to reduce inter-array variability might be of value when attempting to detect smaller differences. We examined...

journal_title：BMC bioinformatics

authors： Welle S,Brooks AI,Thornton CA

更新日期：2002-08-30 00:00:00

abstract：BACKGROUND:The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingly difficult to use and maintain. By making the information in the ontology computable, we can use automated reasoners to detect errors and ass...

journal_title：BMC bioinformatics

authors： Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD

更新日期：2011-01-05 00:00:00

abstract：BACKGROUND:Severity gradation of missense mutations is a big challenge for exome annotation. Predictors of deleteriousness that are most frequently used to filter variants found by next generation sequencing, produce qualitative predictions, but also numerical scores. It has never been tested if these scores correlate ...

journal_title：BMC bioinformatics

authors： Cimmaruta C,Citro V,Andreotti G,Liguori L,Cubellis MV,Hay Mele B

更新日期：2018-11-30 00:00:00

abstract：BACKGROUND:Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much debate on the best ways to process data, to design experiments and analyse the output. Furthermore, many of the more sophisticated mathematica...

journal_title：BMC bioinformatics

authors： Chain B,Bowen H,Hammond J,Posch W,Rasaiyaah J,Tsang J,Noursadeghi M

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:Scientific workflows management systems are increasingly used to specify and manage bioinformatics experiments. Their programming model appeals to bioinformaticians, who can use them to easily specify complex data processing pipelines. Such a model is underpinned by a graph structure, where nodes represent b...

journal_title：BMC bioinformatics

authors： Cohen-Boulakia S,Chen J,Missier P,Goble C,Williams AR,Froidevaux C

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Computational and visual data analysis for genomics has traditionally involved a combination of tools and resources, of which the most ubiquitous consist of genome browsers, focused mainly on integrative visualization of large numbers of big datasets, and computational environments, focused on data modeling ...

journal_title：BMC bioinformatics

authors： Chelaru F,Corrada Bravo H

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multiple genes working in networks that are often repre...

journal_title：BMC bioinformatics

authors： Li Z,Safo SE,Long Q

更新日期：2017-07-11 00:00:00

abstract：:Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measures of their expression dynamics. In this paper we apply a correlation based approach to network reconstruction to three datasets of time se...

journal_title：BMC bioinformatics

authors： Neretti N,Remondini D,Tatar M,Sedivy JM,Pierini M,Mazzatti D,Powell J,Franceschi C,Castellani GC

更新日期：2007-03-08 00:00:00

abstract：BACKGROUND:During the last few years, DNA sequence analysis has become one of the primary means of taxonomic identification of species, particularly so for species that are minute or otherwise lack distinct, readily obtainable morphological characters. Although the number of sequences available for comparison in public...

journal_title：BMC bioinformatics

authors： Nilsson RH,Kristiansson E,Ryberg M,Larsson KH

更新日期：2005-07-18 00:00:00

abstract：BACKGROUND:Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters. However, in the literature there is little work dedicated to this area of research. On...

journal_title：BMC bioinformatics

authors： Yuan Y,Li CT,Wilson R

更新日期：2008-06-18 00:00:00

abstract：BACKGROUND:Detecting local correlations in expression between neighboring genes along the genome has proved to be an effective strategy to identify possible causes of transcriptional deregulation in cancer. It has been successfully used to illustrate the role of mechanisms such as copy number variation (CNV) or epigene...

journal_title：BMC bioinformatics

authors： Delatola EI,Lebarbier E,Mary-Huard T,Radvanyi F,Robin S,Wong J

更新日期：2017-07-11 00:00:00

abstract：BACKGROUND:Time-lapse analysis of cellular images is an important and growing need in biology. Algorithms for cell tracking are widely available; what researchers have been missing is a single open-source software package to visualize standard tracking output (from software like CellProfiler) in a way that allows conve...

journal_title：BMC bioinformatics

authors： Bray MA,Carpenter AE

更新日期：2015-11-04 00:00:00

abstract：BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

journal_title：BMC bioinformatics

authors： Wang Y,Wu H,Cai Y

更新日期：2018-12-31 00:00:00