The rise and fall of breakpoint reuse depending on genome resolution.

abstract：BACKGROUND:Domain fusion analysis is a useful method to predict functionally linked proteins that may be involved in direct protein-protein interactions or in the same metabolic or signaling pathway. As separate domain databases like BLOCKS, PROSITE, Pfam, SMART, PRINTS-S, ProDom, TIGRFAMs, and amalgamated domain datab...

journal_title：BMC bioinformatics

authors： Truong K,Ikura M

更新日期：2003-05-06 00:00:00

abstract：BACKGROUND:Differentially expressed genes are typically identified by analyzing the variation between replicate measurements. These procedures implicitly assume that there are no systematic errors in the data even though several sources of systematic error are known. RESULTS:OpWise estimates the amount of systematic e...

journal_title：BMC bioinformatics

authors： Price MN,Arkin AP,Alm EJ

更新日期：2006-01-13 00:00:00

abstract：BACKGROUND:Biological data often originate from samples containing mixtures of subpopulations, corresponding e.g. to distinct cellular phenotypes. However, identification of distinct subpopulations may be difficult if biological measurements yield distributions that are not easily separable. RESULTS:We present Multire...

journal_title：BMC bioinformatics

authors： Feigelman J,Theis FJ,Marr C

更新日期：2014-07-11 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:Cross-species comparisons of gene neighborhoods (also called genomic contexts) in microbes may provide insight into determining functionally related or co-regulated sets of genes, suggest annotations of previously un-annotated genes, and help to identify horizontal gene transfer events across microbial speci...

journal_title：BMC bioinformatics

authors： Seitzer P,Huynh TA,Facciotti MT

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

journal_title：BMC bioinformatics

authors： Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

更新日期：2018-05-30 00:00:00

abstract：BACKGROUND:G-DOC Plus is a data integration and bioinformatics platform that uses cloud computing and other advanced computational tools to handle a variety of biomedical BIG DATA including gene expression arrays, NGS and medical images so that they can be analyzed in the full context of other omics and clinical inform...

journal_title：BMC bioinformatics

authors： Bhuvaneshwar K,Belouali A,Singh V,Johnson RM,Song L,Alaoui A,Harris MA,Clarke R,Weiner LM,Gusev Y,Madhavan S

更新日期：2016-04-30 00:00:00

abstract：BACKGROUND:Replication timing experiments that use label incorporation and high throughput sequencing produce peaked data similar to ChIP-Seq experiments. However, the differences in experimental design, coverage density, and possible results make traditional ChIP-Seq analysis methods inappropriate for use with replica...

journal_title：BMC bioinformatics

authors： Zynda GJ,Song J,Concia L,Wear EE,Hanley-Bowdoin L,Thompson WF,Vaughn MW

更新日期：2017-08-07 00:00:00

abstract：BACKGROUND:Contact-guided protein structure prediction methods are becoming more and more successful because of the latest advances in residue-residue contact prediction. To support contact-driven structure prediction, effective tools that can quickly build tertiary structural models of good quality from predicted cont...

journal_title：BMC bioinformatics

authors： Adhikari B,Cheng J

更新日期：2018-01-25 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:The use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important. This interpretation may be eased if interacting elements can be identified and visualized, ...

journal_title：BMC bioinformatics

authors： Bornelöv S,Marillet S,Komorowski J

更新日期：2014-05-12 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：:The RNA polymerase NS5B of Hepatitis C virus (HCV) is a well-characterised drug target with an active site and four allosteric binding sites. This work presents a workflow for virtual screening and its application to Drug Bank screening targeting the Hepatitis C Virus (HCV) RNA polymerase non-nucleoside binding sites....

journal_title：BMC bioinformatics

authors： Elhefnawi M,ElGamacy M,Fares M

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:This paper presents a novel approach for Generative Anatomy Modeling Language (GAML). This approach automatically detects the geometric partitions in 3D anatomy that in turn speeds up integrated non-linear optimization model in GAML for 3D anatomy modeling with constraints (e.g. joints). This integrated non-...

journal_title：BMC bioinformatics

authors： Demirel D,Cetinsaya B,Halic T,Kockara S,Ahmadi S

更新日期：2019-03-14 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:Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These methods, however, either apply to specific subsets, or their predictions are not formalised, or they do not provide precise confidence values for th...

journal_title：BMC bioinformatics

authors： Vinayagam A,del Val C,Schubert F,Eils R,Glatting KH,Suhai S,König R

更新日期：2006-03-20 00:00:00

abstract：BACKGROUND:Cartilage damage is a crucial feature involved in several pathological conditions characterized by joint disorders, such as osteoarthritis and rheumatoid arthritis. Accumulated evidences showed that Wnt/β-catenin pathway plays a role in the pathogenesis of cartilage damage. In addition, it is experimentally ...

journal_title：BMC bioinformatics

authors： Zhou W,He X,Chen Z,Fan D,Wang Y,Feng H,Zhang G,Lu A,Xiao L

更新日期：2019-07-31 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:Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect...

journal_title：BMC bioinformatics

authors： Bauer-Mehren A,Furlong LI,Rautschka M,Sanz F

更新日期：2009-08-27 00:00:00

abstract：BACKGROUND:Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good model of GRN. Howeve...

journal_title：BMC bioinformatics

authors： Lo LY,Wong ML,Lee KH,Leung KS

更新日期：2015-11-25 00:00:00

abstract：BACKGROUND:The rapid pace of bioscience research makes it very challenging to track relevant articles in one's area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year. Thus it is not surprising to se...

journal_title：BMC bioinformatics

authors： Srinivasan P,Zhang XN,Bouten R,Chang C

更新日期：2015-06-20 00:00:00

abstract：BACKGROUND:Protein function prediction is an important problem in the post-genomic era. Recent advances in experimental biology have enabled the production of vast amounts of protein-protein interaction (PPI) data. Thus, using PPI data to functionally annotate proteins has been extensively studied. However, most existi...

journal_title：BMC bioinformatics

authors： Xiong W,Liu H,Guan J,Zhou S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate sequence alignment between a query protein and a template protein is critical. It has been known that the alignment accuracy can vary significant...

journal_title：BMC bioinformatics

authors： Lee M,Jeong CS,Kim D

更新日期：2007-12-03 00:00:00

abstract：BACKGROUND:Although most of the current disease candidate gene identification and prioritization methods depend on functional annotations, the coverage of the gene functional annotations is a limiting factor. In the current study, we describe a candidate gene prioritization method that is entirely based on protein-prot...

journal_title：BMC bioinformatics

authors： Chen J,Aronow BJ,Jegga AG

更新日期：2009-02-27 00:00:00

abstract：BACKGROUND:Ontologies are widely used to represent knowledge in biomedicine. Systematic approaches for detecting errors and disagreements are needed for large ontologies with hundreds or thousands of terms and semantic relationships. A recent approach of defining terms using logical definitions is now increasingly bein...

journal_title：BMC bioinformatics

authors： Köhler S,Bauer S,Mungall CJ,Carletti G,Smith CL,Schofield P,Gkoutos GV,Robinson PN

更新日期：2011-10-27 00:00:00

abstract：BACKGROUND:Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches is finding a connected subnetwork of a global interaction network that best encompasses significant individual c...

journal_title：BMC bioinformatics

authors： Alexeev N,Isomurodov J,Sukhov V,Korotkevich G,Sergushichev A

更新日期：2020-11-18 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:Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investigated to be precisely modeled and virtual experiments to be performed in silico. Such experiments may result in easier, faster, and satisfying a...

journal_title：BMC bioinformatics

authors： Bracciali A,Brunelli M,Cataldo E,Degano P

更新日期：2008-04-25 00:00:00

abstract：BACKGROUND:DNA methylation changes are associated with a wide array of biological processes. Bisulfite conversion of DNA followed by high-throughput sequencing is increasingly being used to assess genome-wide methylation at single-base resolution. The relative slowness of most commonly used aligners for processing such...

journal_title：BMC bioinformatics

authors： Ryan DP,Ehninger D

更新日期：2014-10-18 00:00:00

abstract：BACKGROUND:Recently, DNA methylation has drawn great attention due to its strong correlation with abnormal gene activities and informative representation of the cancer status. As a number of studies focus on DNA methylation signatures in cancer, demand for utilizing publicly available methylome dataset has been increas...

journal_title：BMC bioinformatics

authors： Choi J,Chae H

更新日期：2020-05-11 00:00:00