Using distances between Top-n-gram and residue pairs for protein remote homology detection.

abstract：BACKGROUND:In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly used to infer the relative amounts of the test and reference sample DNA levels. This ratio may be influenced by systematic measurement effect...

journal_title：BMC bioinformatics

authors： Khojasteh M,Lam WL,Ward RK,MacAulay C

更新日期：2005-11-18 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:Identifying diagnosis and prognosis biomarkers from expression profiling data is of great significance for achieving personalized medicine and designing therapeutic strategy in complex diseases. However, the reproducibility of identified biomarkers across tissues and experiments is still a challenge for this...

journal_title：BMC bioinformatics

authors： Zhang X,Gao L,Liu ZP,Chen L

更新日期：2015-03-18 00:00:00

abstract：:Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measures of their expression dynamics. In this paper we apply a correlation based approach to network reconstruction to three datasets of time se...

journal_title：BMC bioinformatics

authors： Neretti N,Remondini D,Tatar M,Sedivy JM,Pierini M,Mazzatti D,Powell J,Franceschi C,Castellani GC

更新日期：2007-03-08 00:00:00

abstract：BACKGROUND:Interaction of a drug or chemical with a biological system can result in a gene-expression profile or signature characteristic of the event. Using a suitably robust algorithm these signatures can potentially be used to connect molecules with similar pharmacological or toxicological properties by gene express...

journal_title：BMC bioinformatics

authors： Zhang SD,Gant TW

更新日期：2008-06-02 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:Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptio...

journal_title：BMC bioinformatics

authors： Chevenet F,Brun C,Bañuls AL,Jacq B,Christen R

更新日期：2006-10-10 00:00:00

abstract：BACKGROUND:The detection of bias due to cryptic population structure is an important step in the evaluation of findings of genetic association studies. The standard method of measuring this bias in a genetic association study is to compare the observed median association test statistic to the expected median test stati...

journal_title：BMC bioinformatics

authors： Pirie A,Wood A,Lush M,Tyrer J,Pharoah PD

更新日期：2015-02-20 00:00:00

abstract：BACKGROUND:A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to mental diseases in personal gen...

journal_title：BMC bioinformatics

authors： Khan A,Liu Q,Wang K

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:Comparative genomics has become an essential approach for identifying homologous gene candidates and their functions, and for studying genome evolution. There are many tools available for genome comparisons. Unfortunately, most of them are not applicable for the identification of unique genes and the inferen...

journal_title：BMC bioinformatics

authors： Lu G,Jiang L,Helikar RM,Rowley TW,Zhang L,Chen X,Moriyama EN

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological functions in their network neighbouring regions. RESULTS:Here, we weighted edges of a human protein interaction network and a transcriptional r...

journal_title：BMC bioinformatics

authors： Chen L,Wang H,Zhang L,Li W,Wang Q,Shang Y,He Y,He W,Li X,Tai J,Li X

更新日期：2010-07-22 00:00:00

abstract：BACKGROUND:Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene e...

journal_title：BMC bioinformatics

authors： Müller HG,Chiou JM,Leng X

更新日期：2008-01-28 00:00:00

abstract：BACKGROUND:Physical maps have been historically one of the cornerstones of genome sequencing and map-based cloning strategies. They also support marker assisted breeding and EST mapping. The problem of building a high quality physical map is computationally challenging due to unavoidable noise in the input fingerprint ...

journal_title：BMC bioinformatics

authors： Bozdag S,Close TJ,Lonardi S

更新日期：2009-07-15 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:Research related to cancer is vast, and continues in earnest in many directions. Due to the complexity of cancer, a better understanding of tumor growth dynamics can be gleaned from a dynamic computational model. We present a comprehensive, fully executable, spatial and temporal 3D computational model of the...

journal_title：BMC bioinformatics

authors： Bloch N,Harel D

更新日期：2016-08-24 00:00:00

abstract：BACKGROUND:Community structure is ubiquitous in biological networks. There has been an increased interest in unraveling the community structure of biological systems as it may provide important insights into a system's functional components and the impact of local structures on dynamics at a global scale. Choosing an a...

journal_title：BMC bioinformatics

authors： Sah P,Singh LO,Clauset A,Bansal S

更新日期：2014-06-25 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:Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives. In this paper, a comparative analysis of different classifiers was performed for the classi...

journal_title：BMC bioinformatics

authors： Almustafa KM

更新日期：2020-07-02 00:00:00

abstract：BACKGROUND:Structural interaction frequency matrices between all genome loci are now experimentally achievable thanks to high-throughput chromosome conformation capture technologies. This ensues a new methodological challenge for computational biology which consists in objectively extracting from these data the structu...

journal_title：BMC bioinformatics

authors： Boulos RE,Tremblay N,Arneodo A,Borgnat P,Audit B

更新日期：2017-04-11 00:00:00

abstract：BACKGROUND:Heritability of a phenotypic or molecular trait measures the proportion of variance that is attributable to genotypic variance. It is an important concept in breeding and genetics. Few methods are available for calculating heritability for traits derived from high-throughput sequencing. RESULTS:We propose s...

journal_title：BMC bioinformatics

authors： Rudra P,Shi WJ,Vestal B,Russell PH,Odell A,Dowell RD,Radcliffe RA,Saba LM,Kechris K

更新日期：2017-03-02 00:00:00

abstract：BACKGROUND:Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the quality of measurements. However, once probes have been selected and synthesized on an array, it is still possible to re-evaluate the results...

journal_title：BMC bioinformatics

authors： Gautier L,Møller M,Friis-Hansen L,Knudsen S

更新日期：2004-08-14 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:Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer. This algorithm is the basis for claims of 100% sensitivity and specificity in two related publicly available datasets. To date, no detailed ...

journal_title：BMC bioinformatics

authors： Jeffries NO

更新日期：2004-11-19 00:00:00

abstract：BACKGROUND:Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much debate on the best ways to process data, to design experiments and analyse the output. Furthermore, many of the more sophisticated mathematica...

journal_title：BMC bioinformatics

authors： Chain B,Bowen H,Hammond J,Posch W,Rasaiyaah J,Tsang J,Noursadeghi M

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:Deep shotgun sequencing on next generation sequencing (NGS) platforms has contributed significant amounts of data to enrich our understanding of genomes, transcriptomes, amplified single-cell genomes, and metagenomes. However, deep coverage variations in short-read data sets and high sequencing error rates o...

journal_title：BMC bioinformatics

authors： McCorrison JM,Venepally P,Singh I,Fouts DE,Lasken RS,Methé BA

更新日期：2014-11-19 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:The 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a large body of experimental data on viral and cellular methyltransferases (MTases) that carry out guanine...

journal_title：BMC bioinformatics

authors： Bujnicki JM,Feder M,Radlinska M,Rychlewski L

更新日期：2001-01-01 00:00:00

abstract：BACKGROUND:Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoin...

journal_title：BMC bioinformatics

authors： Pluskal T,Castillo S,Villar-Briones A,Oresic M

更新日期：2010-07-23 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) can offer compelling evidence for protein function, especially when viewed in the context of proteome-wide interactomes. Bacteria have been popular subjects of interactome studies: more than six different bacterial species have been the subjects of comprehensive interactom...

journal_title：BMC bioinformatics

authors： Caufield JH,Wimble C,Shary S,Wuchty S,Uetz P

更新日期：2017-03-16 00:00:00

abstract：BACKGROUND:The structure conservation in various α-helix subclasses reveals the sequence and context dependent factors causing distortions in the α-helix. The sequence-structure relationship in these subclasses can be used to predict structural variations in α-helix purely based on its sequence. We train support vector...

journal_title：BMC bioinformatics

authors： Tendulkar AV,Wangikar PP

更新日期：2011-02-15 00:00:00