SegCorr a statistical procedure for the detection of genomic regions of correlated expression.

abstract：BACKGROUND:Polychromatic flow cytometry is a popular technique that has wide usage in the medical sciences, especially for studying phenotypic properties of cells. The high-dimensionality of data generated by flow cytometry usually makes it difficult to visualize. The naive solution of simply plotting two-dimensional g...

journal_title：BMC bioinformatics

authors： Raj S,Hussain F,Husein Z,Torosdagli N,Turgut D,Deo N,Pattanaik S,Chang CJ,Jha SK

更新日期：2017-06-07 00:00:00

abstract：BACKGROUND:Reliability and Reproducibility of differentially expressed genes (DEGs) are essential for the biological interpretation of microarray data. The microarray quality control (MAQC) project launched by US Food and Drug Administration (FDA) elucidated that the lists of DEGs generated by intra- and inter-platform...

journal_title：BMC bioinformatics

authors： Zhang L,Zhang J,Yang G,Wu D,Jiang L,Wen Z,Li M

更新日期：2013-04-29 00:00:00

abstract：BACKGROUND:There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, such as SSU rRNA gene sequences, now plays a more prominent role in microbial systematics than does phenotypic information. However, the integrat...

journal_title：BMC bioinformatics

authors： Tanaka N,Uchino M,Miyazaki S,Sugawara H

更新日期：2007-08-02 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: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

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

abstract：BACKGROUND:Genome imputation, admixture resolution and genome-wide association analyses are timely and computationally intensive processes with many composite and requisite steps. Analysis time increases further when building and installing the run programs required for these analyses. For scientists that may not be as...

journal_title：BMC bioinformatics

authors： Eller RJ,Janga SC,Walsh S

更新日期：2019-06-28 00:00:00

abstract：BACKGROUND:Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to the high number of possible discriminatory genetic networks involved. In this re...

journal_title：BMC bioinformatics

authors： Cernea A,Fernández-Martínez JL,deAndrés-Galiana EJ,Fernández-Ovies FJ,Alvarez-Machancoses O,Fernández-Muñiz Z,Saligan LN,Sonis ST

更新日期：2020-03-11 00:00:00

abstract：BACKGROUND:Probing the complex fusion of genetic and environmental interactions, metabolic profiling (or metabolomics/metabonomics), the study of small molecules involved in metabolic reactions, is a rapidly expanding 'omics' field. A major technique for capturing metabolite data is 1H-NMR spectroscopy and this yields ...

journal_title：BMC bioinformatics

authors： Muncey HJ,Jones R,De Iorio M,Ebbels TM

更新日期：2010-10-06 00:00:00

abstract：BACKGROUND:Inference of sequence homology is inherently an evolutionary question, dependent upon evolutionary divergence. However, the insertion and deletion penalties in the most widely used methods for inferring homology by sequence alignment, including BLAST and profile hidden Markov models (profile HMMs), are not b...

journal_title：BMC bioinformatics

authors： Rivas E,Eddy SR

更新日期：2015-12-10 00:00:00

abstract：BACKGROUND:The knowledge base-driven pathway analysis is becoming the first choice for many investigators, in that it not only can reduce the complexity of functional analysis by grouping thousands of genes into just several hundred pathways, but also can increase the explanatory power for the experiment by identifying...

journal_title：BMC bioinformatics

authors： Du J,Li M,Yuan Z,Guo M,Song J,Xie X,Chen Y

更新日期：2016-10-06 00:00:00

abstract：BACKGROUND:High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modifications and amino ac...

journal_title：BMC bioinformatics

authors： Pan C,Park BH,McDonald WH,Carey PA,Banfield JF,VerBerkmoes NC,Hettich RL,Samatova NF

更新日期：2010-03-05 00:00:00

abstract：BACKGROUND:The PathoLogic program constructs Pathway/Genome databases by using a genome's annotation to predict the set of metabolic pathways present in an organism. PathoLogic determines the set of reactions composing those pathways from the enzymes annotated in the organism's genome. Most annotation efforts fail to a...

journal_title：BMC bioinformatics

authors： Green ML,Karp PD

更新日期：2004-06-09 00:00:00

abstract：BACKGROUND:Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1). RESULTS:We addressed this problem by using k...

journal_title：BMC bioinformatics

authors： Li Y,Liu X,Ma Y,Wang Y,Zhou W,Hao M,Yuan Z,Liu J,Xiong M,Shugart YY,Wang J,Jin L

更新日期：2018-11-22 00:00:00

abstract：BACKGROUND:High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel transcripts. Moreover, for genes with mult...

journal_title：BMC bioinformatics

authors： Zheng W,Chung LM,Zhao H

更新日期：2011-07-19 00:00:00

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

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

abstract：BACKGROUND:Proteins are dynamic molecules with motions ranging from picoseconds to longer than seconds. Many protein functions, however, appear to occur on the micro to millisecond timescale and therefore there has been intense research of the importance of these motions in catalysis and molecular interactions. Nuclear...

journal_title：BMC bioinformatics

authors： Bieri M,Gooley PR

更新日期：2011-10-27 00:00:00

abstract：BACKGROUND:Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the sequencing of small non-coding regulatory RNAs and the identification of the genomic locales from which they originate. Currently, there is a pauci...

journal_title：BMC bioinformatics

authors： MacLean D,Moulton V,Studholme DJ

更新日期：2010-02-18 00:00:00

abstract：BACKGROUND:It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce either wanted or unwanted effects, such as an increase or decrease in affinity, or a predisposition towards misfolding. Here, we describe a tool wh...

journal_title：BMC bioinformatics

authors： David MP,Lapid CM,Daria VR

更新日期：2008-04-28 00:00:00

abstract：BACKGROUND:Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional s...

journal_title：BMC bioinformatics

authors： Ibrahim M,Jassim S,Cawthorne MA,Langlands K

更新日期：2014-11-04 00:00:00

abstract：BACKGROUND:High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpretation of these experiments problematic. Here, we propose and evaluate an approach to find functional associations between large numbers of g...

journal_title：BMC bioinformatics

authors： Jelier R,Jenster G,Dorssers LC,Wouters BJ,Hendriksen PJ,Mons B,Delwel R,Kors JA

更新日期：2007-01-18 00:00:00

abstract：BACKGROUND:High throughput DNA/RNA sequencing has revolutionized biological and clinical research. Sequencing is widely used, and generates very large amounts of data, mainly due to reduced cost and advanced technologies. Quickly assessing the quality of giga-to-tera base levels of sequencing data has become a routine ...

journal_title：BMC bioinformatics

authors： Chanumolu SK,Albahrani M,Otu HH

更新日期：2019-08-15 00:00:00

abstract：BACKGROUND:The landscape of biological and biomedical research is being changed rapidly with the invention of microarrays which enables simultaneous view on the transcription levels of a huge number of genes across different experimental conditions or time points. Using microarray data sets, clustering algorithms have ...

journal_title：BMC bioinformatics

authors： Maulik U,Mukhopadhyay A,Bandyopadhyay S

更新日期：2009-01-20 00:00:00

abstract：BACKGROUND:A massive amount of proteomic data is generated on a daily basis, nonetheless annotating all sequences is costly and often unfeasible. As a countermeasure, machine learning methods have been used to automatically annotate new protein functions. More specifically, many studies have investigated hierarchical m...

journal_title：BMC bioinformatics

authors： Nakano FK,Lietaert M,Vens C

更新日期：2019-09-23 00:00:00

abstract：BACKGROUND:Accurate annotation of translation initiation sites (TISs) is essential for understanding the translation initiation mechanism. However, the reliability of TIS annotation in widely used databases such as RefSeq is uncertain due to the lack of experimental benchmarks. RESULTS:Based on a homogeneity assumptio...

journal_title：BMC bioinformatics

authors： Hu GQ,Zheng X,Ju LN,Zhu H,She ZS

更新日期：2008-03-25 00:00:00

abstract：BACKGROUND:Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a high degree of biological significance. Previously we have discussed the basic mechanisms of our novel method for structure compariso...

journal_title：BMC bioinformatics

authors： Veeramalai M,Gilbert D,Valiente G

更新日期：2010-03-17 00:00:00

abstract：BACKGROUND:Eisenia fetida, commonly known as red wiggler or compost worm, belongs to the Lumbricidae family of the Annelida phylum. Little is known about its genome sequence although it has been extensively used as a test organism in terrestrial ecotoxicology. In order to understand its gene expression response to envi...

journal_title：BMC bioinformatics

authors： Pirooznia M,Gong P,Guan X,Inouye LS,Yang K,Perkins EJ,Deng Y

更新日期：2007-11-01 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:Identification of transcription factors (TFs) responsible for modulation of differentially expressed genes is a key step in deducing gene regulatory pathways. Most current methods identify TFs by searching for presence of DNA binding motifs in the promoter regions of co-regulated genes. However, this strateg...

journal_title：BMC bioinformatics

authors： Roy S,Heinrich K,Phan V,Berry MW,Homayouni R

更新日期：2011-10-18 00:00:00

abstract：BACKGROUND:MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normalization procedure based on a non-linear mixed-model, as well as a new approach for determining the statistical significance of altered probes ba...

journal_title：BMC bioinformatics

authors： González JR,Carrasco JL,Armengol L,Villatoro S,Jover L,Yasui Y,Estivill X

更新日期：2008-06-04 00:00:00

abstract：BACKGROUND:SNP genotyping microarrays have revolutionized the study of complex disease. The current range of commercially available genotyping products contain extensive catalogues of low frequency and rare variants. Existing SNP calling algorithms have difficulty dealing with these low frequency variants, as the under...

journal_title：BMC bioinformatics

authors： Liu R,Dai Z,Yeager M,Irizarry RA,Ritchie ME

更新日期：2014-05-23 00:00:00