Non-coding RNA detection methods combined to improve usability, reproducibility and precision.

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:Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. RESULTS:We present an R/Bioconductor port of a fast novel algorithm for...

journal_title：BMC bioinformatics

authors： Savage RS,Heller K,Xu Y,Ghahramani Z,Truman WM,Grant M,Denby KJ,Wild DL

更新日期：2009-08-06 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: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:An approach to molecular classification based on the comparative expression of protein pairs is presented. The method overcomes some of the present limitations in using peptide intensity data for class prediction for problems such as the detection of a disease, disease prognosis, or for predicting treatment ...

journal_title：BMC bioinformatics

authors： Kaur P,Schlatzer D,Cooke K,Chance MR

更新日期：2012-08-07 00:00:00

abstract：BACKGROUND:The goal of metabolomics analyses is a comprehensive and systematic understanding of all metabolites in biological samples. Many useful platforms have been developed to achieve this goal. Gas chromatography coupled to mass spectrometry (GC/MS) is a well-established analytical method in metabolomics study, an...

journal_title：BMC bioinformatics

authors： Tsugawa H,Tsujimoto Y,Arita M,Bamba T,Fukusaki E

更新日期：2011-05-04 00:00:00

abstract：BACKGROUND:Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this inna...

journal_title：BMC bioinformatics

authors： Chervoneva I,Li Y,Schulz S,Croker S,Wilson C,Waldman SA,Hyslop T

更新日期：2010-05-14 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are small ~22 nucleotide non-coding RNAs that function as post-transcriptional regulators of messenger RNA (mRNA) through base-pairing to 6-8 nucleotide long target sites, usually located within the mRNA 3' untranslated region. A common approach to validate and probe microRNA-mRNA interact...

journal_title：BMC bioinformatics

authors： Ryan BC,Werner TS,Howard PL,Chow RL

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:The imputation of missing values is necessary for the efficient use of DNA microarray data, because many clustering algorithms and some statistical analysis require a complete data set. A few imputation methods for DNA microarray data have been introduced, but the efficiency of the methods was low and the va...

journal_title：BMC bioinformatics

authors： Kim KY,Kim BJ,Yi GS

更新日期：2004-10-26 00:00:00

abstract：BACKGROUND:The analysis of mass spectra suggests that the existence of derivative peaks is strongly dependent on the intensity of the primary peaks. Peak selection from tandem mass spectrum is used to filter out noise and contaminant peaks. It is widely accepted that a valid primary peak tends to have high intensity an...

journal_title：BMC bioinformatics

authors： Zhang S,Wang Y,Bu D,Zhang H,Sun S

更新日期：2011-08-17 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are a class of endogenous regulatory small RNAs which play an important role in posttranscriptional regulations by targeting mRNAs for cleavage or translational repression. The base-pairing between the 5'-end of miRNA and the target mRNA 3'-UTRs is essential for the miRNA:mRNA recognition....

journal_title：BMC bioinformatics

authors： Gu J,Fu H,Zhang X,Li Y

更新日期：2007-11-08 00:00:00

abstract：:Transcript quantification is a long-standing problem in genomics and estimating the relative abundance of alternatively-spliced isoforms from the same transcript is an important special case. Both problems have recently been illuminated by high-throughput RNA sequencing experiments which are quickly generating large a...

journal_title：BMC bioinformatics

authors： Kakaradov B,Xiong HY,Lee LJ,Jojic N,Frey BJ

更新日期：2012-04-19 00:00:00

abstract：BACKGROUND:Scaffolding is an important step in genome assembly that orders and orients the contigs produced by assemblers. However, repetitive regions in contigs usually prevent scaffolding from producing accurate results. How to solve the problem of repetitive regions has received a great deal of attention. In the pas...

journal_title：BMC bioinformatics

authors： Luo J,Lyu M,Chen R,Zhang X,Luo H,Yan C

更新日期：2019-10-30 00:00:00

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

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

更新日期：2016-08-30 00:00:00

abstract：BACKGROUND:We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conserved substrate-determining residues in the kinase catalytic domain that contact the substrate in the region of the phosphorylation site and so ...

journal_title：BMC bioinformatics

authors： Saunders NF,Brinkworth RI,Huber T,Kemp BE,Kobe B

更新日期：2008-05-26 00:00:00

abstract：BACKGROUND:We investigate the relationships between the EC (Enzyme Commission) class, the associated chemical reaction, and the reaction mechanism by building predictive models using Support Vector Machine (SVM), Random Forest (RF) and k-Nearest Neighbours (kNN). We consider two ways of encoding the reaction mechanism ...

journal_title：BMC bioinformatics

authors： Nath N,Mitchell JB

更新日期：2012-04-24 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:Scientists rarely reuse expert knowledge of phylogeny, in spite of years of effort to assemble a great "Tree of Life" (ToL). A notable exception involves the use of Phylomatic, which provides tools to generate custom phylogenies from a large, pre-computed, expert phylogeny of plant taxa. This suggests great ...

journal_title：BMC bioinformatics

authors： Stoltzfus A,Lapp H,Matasci N,Deus H,Sidlauskas B,Zmasek CM,Vaidya G,Pontelli E,Cranston K,Vos R,Webb CO,Harmon LJ,Pirrung M,O'Meara B,Pennell MW,Mirarab S,Rosenberg MS,Balhoff JP,Bik HM,Heath TA,Midford PE,Brown

更新日期：2013-05-13 00:00:00

abstract：BACKGROUND:Analyses of molecular high-throughput data often lack in robustness, i.e. results are very sensitive to the addition or removal of a single observation. Therefore, the identification of extreme observations is an important step of quality control before doing further data analysis. Standard outlier detection...

journal_title：BMC bioinformatics

authors： Kruppa J,Jung K

更新日期：2017-05-02 00:00:00

abstract：BACKGROUND:Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon usage, and so on. Unique subsequences are markers of special interest in genome comparison, expression profiling, and genetic engineering. Relat...

journal_title：BMC bioinformatics

authors： Herold J,Kurtz S,Giegerich R

更新日期：2008-03-26 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:Despite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary and secondary contigs are not properly identified, the primary...

journal_title：BMC bioinformatics

authors： Solares EA,Tao Y,Long AD,Gaut BS

更新日期：2021-01-06 00:00:00

abstract：BACKGROUND:Microarray experiments enable simultaneous measurement of the expression levels of virtually all transcripts present in cells, thereby providing a 'molecular picture' of the cell state. On the other hand, the genomic responses to a pharmacological or hormonal stimulus are dynamic molecular processes, where t...

journal_title：BMC bioinformatics

authors： Mutarelli M,Cicatiello L,Ferraro L,Grober OM,Ravo M,Facchiano AM,Angelini C,Weisz A

更新日期：2008-03-26 00:00:00

abstract：BACKGROUND:Differences in cell-type composition across subjects and conditions often carry biological significance. Recent advancements in single cell sequencing technologies enable cell-types to be identified at the single cell level, and as a result, cell-type composition of tissues can now be studied in exquisite de...

journal_title：BMC bioinformatics

authors： Cao Y,Lin Y,Ormerod JT,Yang P,Yang JYH,Lo KK

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene...

journal_title：BMC bioinformatics

authors： Shah NA,Sarkar CA

更新日期：2019-05-14 00:00:00

abstract：BACKGROUND:Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions and global DNA microarray hybridization experiments, has opened the...

journal_title：BMC bioinformatics

authors： Baumbach J

更新日期：2007-11-06 00:00:00

abstract：BACKGROUND:Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical GWAS analysis, which detects v...

journal_title：BMC bioinformatics

authors： Al Kawam A,Alshawaqfeh M,Cai JJ,Serpedin E,Datta A

更新日期：2018-03-21 00:00:00

abstract：BACKGROUND:Recently, measuring phenotype similarity began to play an important role in disease diagnosis. Researchers have begun to pay attention to develop phenotype similarity measurement. However, existing methods ignore the interactions between phenotype-associated proteins, which may lead to inaccurate phenotype s...

journal_title：BMC bioinformatics

authors： Peng J,Hui W,Shang X

更新日期：2018-04-11 00:00:00

abstract：BACKGROUND:The identification of a consensus RNA motif often consists in finding a conserved secondary structure with minimum free energy in an ensemble of aligned sequences. However, an alignment is often difficult to obtain without prior structural information. Thus the need for tools to automate this process. RESUL...

journal_title：BMC bioinformatics

authors： Anwar M,Nguyen T,Turcotte M

更新日期：2006-05-05 00:00:00

abstract：BACKGROUND:The low success rate and high cost of drug discovery requires the development of new paradigms to identify molecules of therapeutic value. The Anatomical Therapeutic Chemical (ATC) Code System is a World Health Organization (WHO) proposed classification that assigns multi-level codes to compounds based on th...

journal_title：BMC bioinformatics

authors： Olson T,Singh R

更新日期：2017-06-07 00:00:00