Predicting protein functions by relaxation labelling protein interaction network.

abstract：BACKGROUND:A phylogeny is the evolutionary history of a group of organisms. To date, sequence data is still the most used data type for phylogenetic reconstruction. Before any sequences can be used for phylogeny reconstruction, they must be aligned, and the quality of the multiple sequence alignment has been shown to a...

journal_title：BMC bioinformatics

authors： Yue F,Shi J,Tang J

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Analysis of expression quantitative trait loci (eQTL) aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge o...

journal_title：BMC bioinformatics

authors： Wang W,Zhang X

更新日期：2011-06-30 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:The canonical code, although prevailing in complex genomes, is not universal. It was shown the canonical genetic code superior robustness compared to random codes, but it is not clearly determined how it evolved towards its current form. The error minimization theory considers the minimization of point mutat...

journal_title：BMC bioinformatics

authors： Santos J,Monteagudo Á

更新日期：2017-03-27 00:00:00

abstract：BACKGROUND:Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many important diseases can be traced down to the gene level, a long-standing research problem is to identify specific gene expression patterns linking t...

journal_title：BMC bioinformatics

authors： Fu LM,Fu-Liu CS

更新日期：2005-03-22 00:00:00

abstract：BACKGROUND:Knowledge of subcellular localization of proteins is crucial to proteomics, drug target discovery and systems biology since localization and biological function are highly correlated. In recent years, numerous computational prediction methods have been developed. Nevertheless, there is still a need for predi...

journal_title：BMC bioinformatics

authors： Blum T,Briesemeister S,Kohlbacher O

更新日期：2009-09-01 00:00:00

abstract：BACKGROUND:Bioinformatics research for finding biological mechanisms can be done by analysis of transcriptome data with pathway based interpretation. Therefore, researchers have tried to develop tools to analyze transcriptome data with pathway based interpretation. Over the years, the amount of omics data has become hu...

journal_title：BMC bioinformatics

authors： Kim I,Choi S,Kim S

更新日期：2018-02-19 00:00:00

abstract：BACKGROUND:In this study, we extended the replica exchange Monte Carlo (REMC) sampling method to protein-small molecule docking conformational prediction using RosettaLigand. In contrast to the traditional Monte Carlo (MC) and REMC sampling methods, these methods use multi-objective optimization Pareto front informatio...

journal_title：BMC bioinformatics

authors： Wang H,Liu H,Cai L,Wang C,Lv Q

更新日期：2017-07-10 00:00:00

abstract：BACKGROUND:The secondary structure of RNA molecules is intimately related to their function and often more conserved than the sequence. Hence, the important task of searching databases for RNAs requires to match sequence-structure patterns. Unfortunately, current tools for this task have, in the best case, a running ti...

journal_title：BMC bioinformatics

authors： Meyer F,Kurtz S,Backofen R,Will S,Beckstette M

更新日期：2011-05-27 00:00:00

abstract：BACKGROUND:The adaptation of the CRISPR-Cas9 system to pooled library gene knockout screens in mammalian cells represents a major technological leap over RNA interference, the prior state of the art. New methods for analyzing the data and evaluating results are needed. RESULTS:We offer BAGEL (Bayesian Analysis of Gene...

journal_title：BMC bioinformatics

authors： Hart T,Moffat J

更新日期：2016-04-16 00:00:00

abstract：BACKGROUND:Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive model, it is important to know what properties of an oligonucleotide sequence associate significantly with antisense activity. Also, for the m...

journal_title：BMC bioinformatics

authors： McQuisten KA,Peek AS

更新日期：2007-06-07 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：:Advances of high-throughput technologies have rapidly produced more and more data from DNAs and RNAs to proteins, especially large volumes of genome-scale data. However, connection of the genomic information to cellular functions and biological behaviours relies on the development of effective approaches at higher sys...

journal_title：BMC bioinformatics

authors： Yang JY,Dunker A,Liu JS,Qin X,Arabnia HR,Yang W,Niemierko A,Chen Z,Luo Z,Wang L,Liu Y,Xu D,Deng Y,Tong W,Yang M

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Many methods for species tree inference require data from a sufficiently large sample of genomic loci in order to produce accurate estimates. However, few studies have attempted to use analytical theory to quantify "sufficiently large". RESULTS:Using the multispecies coalescent model, we report a general an...

journal_title：BMC bioinformatics

authors： Uricchio LH,Warnow T,Rosenberg NA

更新日期：2016-11-11 00:00:00

abstract：BACKGROUND:Metabolic networks reflect the relationships between metabolites (biomolecules) and the enzymes (proteins), and are of particular interest since they describe all chemical reactions of an organism. The metabolic networks are constructed from the genome sequence of an organism, and the graphs can be used to s...

journal_title：BMC bioinformatics

authors： Weber Zendrera A,Sokolovska N,Soula HA

更新日期：2019-10-15 00:00:00

abstract：BACKGROUND:Many structural properties such as solvent accessibility, dihedral angles and helix-helix contacts can be assigned to each residue in a membrane protein. Independent studies exist on the analysis and sequence-based prediction of some of these so-called one-dimensional features. However, there is little expla...

journal_title：BMC bioinformatics

authors： Ahmad S,Singh YH,Paudel Y,Mori T,Sugita Y,Mizuguchi K

更新日期：2010-10-27 00:00:00

abstract：BACKGROUND:Correctly identifying genomic regions enriched with histone modifications and transcription factors is key to understanding their regulatory and developmental roles. Conceptually, these regions are divided into two categories, narrow peaks and broad domains, and different algorithms are used to identify each...

journal_title：BMC bioinformatics

authors： Starmer J,Magnuson T

更新日期：2016-03-24 00:00:00

abstract：BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

journal_title：BMC bioinformatics

authors： Liu Q,Crammer K,Pereira FC,Roos DS

更新日期：2008-10-14 00:00:00

abstract：BACKGROUND:Analysis of gene expression data in terms of a priori-defined gene sets has recently received significant attention as this approach typically yields more compact and interpretable results than those produced by traditional methods that rely on individual genes. The set-level strategy can also be adopted wit...

journal_title：BMC bioinformatics

authors： Holec M,Kléma J,Zelezný F,Tolar J

更新日期：2012-06-25 00:00:00

abstract：BACKGROUND:Cyclic nucleotides are ubiquitous intracellular messengers. Until recently, the roles of cyclic nucleotides in plant cells have proven difficult to uncover. With an understanding of the protein domains which can bind cyclic nucleotides (CNB and GAF domains) we scanned the completed genomes of the higher plan...

journal_title：BMC bioinformatics

authors： Bridges D,Fraser ME,Moorhead GB

更新日期：2005-01-11 00:00:00

abstract：BACKGROUND:miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insig...

journal_title：BMC bioinformatics

authors： Licursi V,Conte F,Fiscon G,Paci P

更新日期：2019-11-04 00:00:00

abstract：BACKGROUND:Mass spectrometry based peptide mass fingerprints (PMFs) offer a fast, efficient, and robust method for protein identification. A protein is digested (usually by trypsin) and its mass spectrum is compared to simulated spectra for protein sequences in a database. However, existing tools for analyzing PMFs oft...

journal_title：BMC bioinformatics

authors： Kaltenbach HM,Wilke A,Böcker S

更新日期：2007-03-26 00:00:00

abstract：BACKGROUND:Bioluminescent proteins (BLPs) widely exist in many living organisms. As BLPs are featured by the capability of emitting lights, they can be served as biomarkers and easily detected in biomedical research, such as gene expression analysis and signal transduction pathways. Therefore, accurate identification o...

journal_title：BMC bioinformatics

authors： Zhang J,Chai H,Yang G,Ma Z

更新日期：2017-06-05 00:00:00

abstract：BACKGROUND:The misregulation of microRNA (miRNA) has been shown to cause diseases. Recently, we have proposed a computational method based on a random walk framework on a miRNA-target gene network to predict disease-associated miRNAs. The prediction performance of our method is better than that of some existing state-o...

journal_title：BMC bioinformatics

authors： Le DH,Tran TTH

更新日期：2020-06-15 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:The aberrant expression of microRNAs is closely connected to the occurrence and development of a great deal of human diseases. To study human diseases, numerous effective computational models that are valuable and meaningful have been presented by researchers. RESULTS:Here, we present a computational framew...

journal_title：BMC bioinformatics

authors： Gao Z,Wang YT,Wu QW,Ni JC,Zheng CH

更新日期：2020-02-18 00:00:00

abstract：BACKGROUND:Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variation in human populations. Array-based comparative genomic hybridization (array-CGH) and newly developed read-depth approach through ultrahigh ...

journal_title：BMC bioinformatics

authors： Zhang ZD,Gerstein MB

更新日期：2010-10-31 00:00:00

abstract：BACKGROUND:Over one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methylation, especially N6-methyladenosine, has become one of the most researched topics in epigenetics. ...

journal_title：BMC bioinformatics

authors： Wu X,Wei Z,Chen K,Zhang Q,Su J,Liu H,Zhang L,Meng J

更新日期：2019-05-02 00:00:00

abstract：BACKGROUND:DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biomarkers. The identification of disease-specific methylation signatures ...

journal_title：BMC bioinformatics

authors： Meng H,Murrelle EL,Li G

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:Different human responses to the same vaccine were frequently observed. For example, independent studies identified overlapping but different transcriptomic gene expression profiles in Yellow Fever vaccine 17D (YF-17D) immunized human subjects. Different experimental and analysis conditions were likely contr...

journal_title：BMC bioinformatics

authors： Ong E,Sun P,Berke K,Zheng J,Wu G,He Y

更新日期：2019-12-23 00:00:00