Membrane protein orientation and refinement using a knowledge-based statistical potential.

abstract：BACKGROUND:Two important challenges in the analysis of molecular biology information are data (multi-omic information) integration and the detection of patterns across large scale molecular networks and sequences. They are are actually coupled beause the integration of omic information may provide better means to detec...

journal_title：BMC bioinformatics

authors： Bardozzo F,Lió P,Tagliaferri R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

journal_title：BMC bioinformatics

authors： Meinicke P,Tech M,Morgenstern B,Merkl R

更新日期：2004-10-28 00:00:00

abstract：BACKGROUND:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...

journal_title：BMC bioinformatics

authors： Thakur S,Guttman DS

更新日期：2016-06-30 00:00:00

abstract：BACKGROUND:As phenotypic features derived from heritable characters, the topologies of metabolic pathways contain both phylogenetic and phenetic components. In the post-genomic era, it is possible to measure the "phylophenetic" contents of different pathways topologies from a global perspective. RESULTS:We reconstruct...

journal_title：BMC bioinformatics

authors： Zhang Y,Li S,Skogerbø G,Zhang Z,Zhu X,Zhang Z,Sun S,Lu H,Shi B,Chen R

更新日期：2006-05-09 00:00:00

abstract：BACKGROUND:Clustering techniques are routinely used in gene expression data analysis to organize the massive data. Clustering techniques arrange a large number of genes or assays into a few clusters while maximizing the intra-cluster similarity and inter-cluster separation. While clustering of genes facilitates learnin...

journal_title：BMC bioinformatics

authors： Jonnalagadda S,Srinivasan R

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of histological subtypes and the prediction of clinical outcomes. However, the im...

journal_title：BMC bioinformatics

authors： Liu K,He L,Liu Z,Xu J,Liu Y,Kuang Q,Wen Z,Li M

更新日期：2017-12-28 00:00:00

abstract：BACKGROUND:The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structure and functionality of metabolic networks. Topological analysis of graph models has often been applied to study the structural c...

journal_title：BMC bioinformatics

authors： Zhao J,Yu H,Luo JH,Cao ZW,Li YX

更新日期：2006-08-18 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: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:High throughput experiments have generated a significantly large amount of protein interaction data, which is being used to study protein networks. Studying complete protein networks can reveal more insight about healthy/disease states than studying proteins in isolation. Similarly, a comparative study of pr...

journal_title：BMC bioinformatics

authors： Ayub U,Haider I,Naveed H

更新日期：2020-11-04 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:RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence o...

journal_title：BMC bioinformatics

authors： Li B,Dewey CN

更新日期：2011-08-04 00:00:00

abstract：BACKGROUND:Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for identifying genes regulated by the cell-cycle in poorly characterised organisms. Commonly the investigator is only interested in genes expressed at...

journal_title：BMC bioinformatics

authors： Andersson CR,Isaksson A,Gustafsson MG

更新日期：2006-02-09 00:00:00

abstract：BACKGROUND:Dystrophinopathy is one of the most common human monogenic diseases which results in Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD). Mutations in the dystrophin gene are responsible for both DMD and BMD. However, the clinical phenotypes and treatments are quite different in these two m...

journal_title：BMC bioinformatics

authors： Zhou J,Xin J,Niu Y,Wu S

更新日期：2017-02-02 00:00:00

abstract：BACKGROUND:Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GC-MS) is a powerful technique which has gained increasing attention over the last two decades. The GC × GC-MS provides much increased separation capacity, chemical selectivity and sensitivity for complex sample analysis an...

journal_title：BMC bioinformatics

authors： Kim S,Koo I,Fang A,Zhang X

更新日期：2011-06-15 00:00:00

abstract：BACKGROUND:For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is available, precise annotation of genes is lacking behind. Finding the corresponding gene of a given protein sequence by means of conventional too...

journal_title：BMC bioinformatics

authors： Keller O,Odronitz F,Stanke M,Kollmar M,Waack S

更新日期：2008-06-13 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:Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segme...

journal_title：BMC bioinformatics

authors： Mohamadlou H,Shope JC,Flann NS

更新日期：2014-01-30 00:00:00

abstract：BACKGROUND:Parametric feature selection methods for machine learning and association studies based on genetic data are not robust with respect to outliers or influential observations. While rank-based, distribution-free statistics offer a robust alternative to parametric methods, their practical utility can be limited,...

journal_title：BMC bioinformatics

authors： Lin J,Sibley A,Shterev I,Nixon A,Innocenti F,Chan C,Owzar K

更新日期：2019-06-13 00:00:00

abstract：BACKGROUND:Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2-5% of the genes encode for peptidases, irrespectively of the organism source. The basic peptidase function is "protein digestion" and this can be potentially dangerous in living organisms w...

journal_title：BMC bioinformatics

authors： Bartoli L,Calabrese R,Fariselli P,Mita DG,Casadio R

更新日期：2007-03-08 00:00:00

abstract：BACKGROUND:Great strides have been made in the effective treatment of HIV-1 with the development of second-generation protease inhibitors (PIs) that are effective against historically multi-PI-resistant HIV-1 variants. Nevertheless, mutation patterns that confer decreasing susceptibility to available PIs continue to ar...

journal_title：BMC bioinformatics

authors： Doherty KM,Nakka P,King BM,Rhee SY,Holmes SP,Shafer RW,Radhakrishnan ML

更新日期：2011-12-15 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:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

journal_title：BMC bioinformatics

authors： Lu G,Zhang S,Fang X

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Recent advances in global genomic profiling methodologies have enabled multi-dimensional characterization of biological systems. Complete analysis of these genomic profiles require an in depth look at parallel profiles of segmental DNA copy number status, DNA methylation state, single nucleotide polymorphism...

journal_title：BMC bioinformatics

authors： Chi B,deLeeuw RJ,Coe BP,Ng RT,MacAulay C,Lam WL

更新日期：2008-05-20 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:A number of tools for the examination of linkage disequilibrium (LD) patterns between nearby alleles exist, but none are available for quickly and easily investigating LD at longer ranges (>500 kb). We have developed a web-based query tool (GLIDERS: Genome-wide LInkage DisEquilibrium Repository and Search en...

journal_title：BMC bioinformatics

authors： Lawrence R,Day-Williams AG,Mott R,Broxholme J,Cardon LR,Zeggini E

更新日期：2009-10-31 00:00:00

abstract：BACKGROUND:As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of signaling pathways during disease development or therapeutic intervention would assist in drug development, design of therapy, and target ide...

journal_title：BMC bioinformatics

authors： Bidaut G,Suhre K,Claverie JM,Ochs MF

更新日期：2006-02-28 00:00:00

abstract：BACKGROUND:Typical evolutionary events like recombination, hybridization or gene transfer make necessary the use of phylogenetic networks to properly depict the evolution of DNA and protein sequences. Although several theoretical classes have been proposed to characterize these networks, they make stringent assumptions...

journal_title：BMC bioinformatics

authors： Arenas M,Patricio M,Posada D,Valiente G

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evaluated using a set of eight publicly available gene expression databases f...

journal_title：BMC bioinformatics

authors： Verda D,Parodi S,Ferrari E,Muselli M

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of the mapping position of a specific entity or reaction in a given pathway, (2) the recognition of the causal relationships among multiple reactio...

journal_title：BMC bioinformatics

authors： Oda K,Kim JD,Ohta T,Okanohara D,Matsuzaki T,Tateisi Y,Tsujii J

更新日期：2008-04-11 00:00:00