Computational method for reducing variance with Affymetrix microarrays.

abstract：BACKGROUND:Recent studies have shown that N6-methyladenosine (m6A) plays a critical role in numbers of biological processes and complex human diseases. However, the regulatory mechanisms of most methylation sites remain uncharted. Thus, in-depth study of the epi-transcriptomic patterns of m6A may provide insights into ...

journal_title：BMC bioinformatics

authors： Zhang L,Chen S,Zhu J,Meng J,Liu H

更新日期：2020-10-09 00:00:00

abstract：BACKGROUND:One of key issues in the post-genomic era is to assign functions to uncharacterized proteins. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the functions of unknown proteins may be discovered through studying their interactions wit...

journal_title：BMC bioinformatics

authors： Hu P,Jiang H,Emili A

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNA) are regulatory genes that target and repress other RNA molecules via sequence-specific binding. Several biological processes are regulated across many organisms by evolutionarily conserved miRNAs. Plants and invertebrates employ their miRNA in defense against viruses by targeting and degrad...

journal_title：BMC bioinformatics

authors： Carl JW Jr,Trgovcich J,Hannenhalli S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene networks. Existing tests for network enrichment analysis deal only with undirected networks, they can be computationally slow and a...

journal_title：BMC bioinformatics

authors： Signorelli M,Vinciotti V,Wit EC

更新日期：2016-09-05 00:00:00

abstract：BACKGROUND:Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central aspects graphically in an intuitively understandable way. RESULTS:We present a visualization method that incorporates both emission and transi...

journal_title：BMC bioinformatics

authors： Schuster-Böckler B,Schultz J,Rahmann S

更新日期：2004-01-21 00:00:00

abstract：BACKGROUND:Annotations of the phylogenetic tree of the human kinome is an intuitive way to visualize compound profiling data, structural features of kinases or functional relationships within this important class of proteins. The increasing volume and complexity of kinase-related data underlines the need for a tool tha...

journal_title：BMC bioinformatics

authors： Eid S,Turk S,Volkamer A,Rippmann F,Fulle S

更新日期：2017-01-05 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:Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genome-wide "reverse engineering" of such networks have been successful only for lower eukaryotes with simple genomes. Here we present ARACNE, a n...

journal_title：BMC bioinformatics

authors： Margolin AA,Nemenman I,Basso K,Wiggins C,Stolovitzky G,Dalla Favera R,Califano A

更新日期：2006-03-20 00:00:00

abstract：BACKGROUND:Last generations of Single Nucleotide Polymorphism (SNP) arrays allow to study copy-number variations in addition to genotyping measures. RESULTS:MPAgenomics, standing for multi-patient analysis (MPA) of genomic markers, is an R-package devoted to: (i) efficient segmentation and (ii) selection of genomic ma...

journal_title：BMC bioinformatics

authors： Grimonprez Q,Celisse A,Blanck S,Cheok M,Figeac M,Marot G

更新日期：2014-12-14 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are time-consuming and expensive, it is important to develop automated computational methods to better predict PPIs. Various machine learning methods have been proposed...

journal_title：BMC bioinformatics

authors： Yang F,Fan K,Song D,Lin H

更新日期：2020-07-21 00:00:00

abstract：BACKGROUND:Processing and analysis of DNA sequences obtained from next-generation sequencing (NGS) face some difficulties in terms of the correct prediction of DNA sequencing outcomes without the implementation of bioinformatics approaches. However, algorithms based on NGS perform inefficiently due to the generation of...

journal_title：BMC bioinformatics

authors： Shityakov S,Bencurova E,Förster C,Dandekar T

更新日期：2020-04-03 00:00:00

abstract：BACKGROUND:Current microRNA (miRNA) research in progress has engendered rapid accumulation of expression data evolving from microarray experiments. Such experiments are generally performed over different tissues belonging to a specific species of metazoan. For disease diagnosis, microarray probes are also prepared with...

journal_title：BMC bioinformatics

authors： Bandyopadhyay S,Bhattacharyya M

更新日期：2009-05-28 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: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:Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine learning methods have...

journal_title：BMC bioinformatics

authors： Eslami Manoochehri H,Nourani M

更新日期：2020-07-06 00:00:00

abstract：BACKGROUND:Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molec...

journal_title：BMC bioinformatics

authors： Steffen M,Petti A,Aach J,D'haeseleer P,Church G

更新日期：2002-11-01 00:00:00

abstract：BACKGROUND:An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of fun...

journal_title：BMC bioinformatics

authors： Stepanova M,Lin F,Lin VC

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:Here we introduce the Protein Sequence Annotation Tool (PSAT), a web-based, sequence annotation meta-server for performing integrated, high-throughput, genome-wide sequence analyses. Our goals in building PSAT were to (1) create an extensible platform for integration of multiple sequence-based bioinformatics...

journal_title：BMC bioinformatics

authors： Leung E,Huang A,Cadag E,Montana A,Soliman JL,Zhou CL

更新日期：2016-01-20 00:00:00

abstract：BACKGROUND:The uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of the available information. Computational methods for the prioritization of candidate genes can h...

journal_title：BMC bioinformatics

authors： Zampieri G,Tran DV,Donini M,Navarin N,Aiolli F,Sperduti A,Valle G

更新日期：2018-01-25 00:00:00

abstract：BACKGROUND:The annotation of protein post-translational modifications (PTMs) is an important task of UniProtKB curators and, with continuing improvements in experimental methodology, an ever greater number of articles are being published on this topic. To help curators cope with this growing body of information we have...

journal_title：BMC bioinformatics

authors： Veuthey AL,Bridge A,Gobeill J,Ruch P,McEntyre JR,Bougueleret L,Xenarios I

更新日期：2013-03-22 00:00:00

abstract：BACKGROUND:Decreasing costs of DNA sequencing have made prokaryotic draft genome sequences increasingly common. A contig scaffold is an ordering of contigs in the correct orientation. A scaffold can help genome comparisons and guide gap closure efforts. One popular technique for obtaining contig scaffolds is to map con...

journal_title：BMC bioinformatics

authors： Dias Z,Dias U,Setubal JC

更新日期：2012-05-14 00:00:00

abstract：BACKGROUND:Alignment-free methods for comparing protein sequences have proved to be viable alternatives to approaches that first rely on an alignment of the sequences to be compared. Much work however need to be done before those methods provide reliable fold recognition for proteins whose sequences share little simila...

journal_title：BMC bioinformatics

authors： Nojoomi S,Koehl P

更新日期：2017-08-25 00:00:00

abstract：BACKGROUND:The Triplex cell vaccine is a cancer cellular vaccine that can prevent almost completely the mammary tumor onset in HER-2/neu transgenic mice. In a translational perspective, the activity of the Triplex vaccine was also investigated against lung metastases showing that the vaccine is an effective treatment a...

journal_title：BMC bioinformatics

authors： Pennisi M,Pappalardo F,Palladini A,Nicoletti G,Nanni P,Lollini PL,Motta S

更新日期：2010-10-15 00:00:00

abstract：BACKGROUND:The evolutionary history of genes serves as a cornerstone of contemporary biology. Most conserved sequences in mammalian genomes don't code for proteins, yielding a need to infer evolutionary history of sequences irrespective of what kind of functional element they may encode. Thus, sequence-, as opposed to ...

journal_title：BMC bioinformatics

authors： Gao K,Miller J

更新日期：2020-02-06 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:Extensive studies have been carried out on Caenorhabditis elegans as a model organism to elucidate mechanisms of aging and the effects of perturbing known aging-related genes on lifespan and behavior. This research has generated large amounts of experimental data that is increasingly difficult to integrate a...

journal_title：BMC bioinformatics

authors： Callahan A,Cifuentes JJ,Dumontier M

更新日期：2015-02-07 00:00:00

abstract：BACKGROUND:Stable isotope tracing can follow individual atoms through metabolic transformations through the detection of the incorporation of stable isotope within metabolites. This resulting data can be interpreted in terms related to metabolic flux. However, detection of a stable isotope in metabolites by mass spectr...

journal_title：BMC bioinformatics

authors： Jin H,Moseley HNB

更新日期：2019-10-28 00:00:00

abstract：BACKGROUND:Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulations resemble the process of molecular evolution as much as possible. To date, no single coalescent program is able to simulate codon sequences s...

journal_title：BMC bioinformatics

authors： Arenas M,Posada D

更新日期：2007-11-20 00:00:00

abstract：BACKGROUND:Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of expression signatures. Microarray data generally includes individual e...

journal_title：BMC bioinformatics

authors： Wang G,Kossenkov AV,Ochs MF

更新日期：2006-03-28 00:00:00

abstract：BACKGROUND:Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray platforms. This substantial repository has been used extensively to characterize changes in gene expression between biological samples, but h...

journal_title：BMC bioinformatics

authors： Robinson TJ,Dinan MA,Dewhirst M,Garcia-Blanco MA,Pearson JL

更新日期：2010-02-25 00:00:00