SSWAP: A Simple Semantic Web Architecture and Protocol for semantic web services.

abstract：BACKGROUND:Aptamers are nucleic acids selected for their ability to bind to molecules of interest and may provide the basis for a whole new class of medicines. If the aptamer is simply a dsDNA molecule with a ssDNA overhang (a "sticky" end) then the segment of ssDNA that complements that overhang provides a known bindi...

journal_title：BMC bioinformatics

authors： Thomson K,Amin I,Morales E,Winters-Hilt S

更新日期：2007-11-01 00:00:00

abstract：BACKGROUND:Eukaryotic whole genome sequences are accumulating at an impressive rate. Effective methods for comparing multiple whole eukaryotic genomes on a large scale are needed. Most attempted solutions involve the production of large scale alignments, and many of these require a high stringency pre-screen for putati...

journal_title：BMC bioinformatics

authors： Stuart GW,Berry MW

更新日期：2004-12-17 00:00:00

abstract：BACKGROUND:One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because profiles are built from sequence alignments, the sequences included in the alignment and the method used to align them will be important to th...

journal_title：BMC bioinformatics

authors： Scheeff ED,Bourne PE

更新日期：2006-09-14 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:In mass spectrometry (MS) based proteomic data analysis, peak detection is an essential step for subsequent analysis. Recently, there has been significant progress in the development of various peak detection algorithms. However, neither a comprehensive survey nor an experimental comparison of these algorith...

journal_title：BMC bioinformatics

authors： Yang C,He Z,Yu W

更新日期：2009-01-06 00:00:00

abstract：BACKGROUND:The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Previous works have proven that functional gene sets were more reliable for this task than the gene signature. However, few works have considered the cross-talk among functiona...

journal_title：BMC bioinformatics

authors： Zhou XH,Chu XY,Xue G,Xiong JH,Zhang HY

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:Protein-DNA interactions are important for many cellular processes, however structural knowledge for a large fraction of known and putative complexes is still lacking. Computational docking methods aim at the prediction of complex architecture given detailed structures of its constituents. They are becoming ...

journal_title：BMC bioinformatics

authors： Setny P,Bahadur RP,Zacharias M

更新日期：2012-09-11 00:00:00

abstract：BACKGROUND:Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently described two generalizations of the GSMA statistic: (i) a weighted version of the GSMA statistic, so that different studies could be ascribed dif...

journal_title：BMC bioinformatics

authors： Koziol JA,Feng AC

更新日期：2005-02-17 00:00:00

abstract：BACKGROUND:High-throughput "omics" based data analysis play emerging roles in life sciences and molecular diagnostics. This emphasizes the urgent need for user-friendly windows-based software interfaces that could process the diversity of large tab-delimited raw data files generated by these methods. Depending on the s...

journal_title：BMC bioinformatics

authors： Schwager C,Wirkner U,Abdollahi A,Huber PE

更新日期：2009-07-29 00:00:00

abstract：BACKGROUND:Failure on Highly Active Anti-Retroviral Treatment is often accompanied with development of antiviral resistance to one or more drugs included in the treatment. In general, the virus is more likely to develop resistance to drugs with a lower genetic barrier. Previously, we developed a method to reverse engin...

journal_title：BMC bioinformatics

authors： Theys K,Deforche K,Beheydt G,Moreau Y,van Laethem K,Lemey P,Camacho RJ,Rhee SY,Shafer RW,Van Wijngaerden E,Vandamme AM

更新日期：2010-08-03 00:00:00

abstract：BACKGROUND:RNA-Sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in the context of dif...

journal_title：BMC bioinformatics

authors： Bi R,Liu P

更新日期：2016-03-31 00:00:00

abstract：BACKGROUND:Infections are often associated to comorbidity that increases the risk of medical conditions which can lead to further morbidity and mortality. SARS is a threat which is similar to MERS virus, but the comorbidity is the key aspect to underline their different impacts. One UK doctor says "I'd rather have HIV ...

journal_title：BMC bioinformatics

authors： Moni MA,Liò P

更新日期：2014-10-24 00:00:00

abstract：BACKGROUND:Increasing number of eQTL (Expression Quantitative Trait Loci) datasets facilitate genetics and systems biology research. Meta-analysis tools are in need to jointly analyze datasets of same or similar issue types to improve statistical power especially in trans-eQTL mapping. Meta-analysis framework is also n...

journal_title：BMC bioinformatics

authors： Di Narzo AF,Cheng H,Lu J,Hao K

更新日期：2014-11-28 00:00:00

abstract：BACKGROUND:Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technology can make data interpretation unreliable. Therefore, methods to correct this kind of technical variation are critical. Here we consider a me...

journal_title：BMC bioinformatics

authors： Pelz CR,Kulesz-Martin M,Bagby G,Sears RC

更新日期：2008-12-04 00:00:00

abstract：BACKGROUND:Sequence motifs representing transcription factor binding sites (TFBS) are commonly encoded as position frequency matrices (PFM) or degenerate consensus sequences (CS). These formats are used to represent the characterised TFBS profiles stored in transcription factor databases, as well as to represent the po...

journal_title：BMC bioinformatics

authors： Kankainen M,Löytynoja A

更新日期：2007-06-08 00:00:00

abstract：:Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes in biological samples. Its overall objective is to identify the form and quantity of each protein in a high-throughput manner by coupling liquid chromatography with tandem mass spectrometry. As a consequence of its high throughp...

journal_title：BMC bioinformatics

authors： Li YF,Radivojac P

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

journal_title：BMC bioinformatics

authors： Amzallag A,Ramaswamy S,Benes CH

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:Gene function annotations, which are associations between a gene and a term of a controlled vocabulary describing gene functional features, are of paramount importance in modern biology. Datasets of these annotations, such as the ones provided by the Gene Ontology Consortium, are used to design novel biologi...

journal_title：BMC bioinformatics

authors： Pinoli P,Chicco D,Masseroli M

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Viral zoonosis, the transmission of a virus from its primary vertebrate reservoir species to humans, requires ubiquitous cellular proteins known as receptor proteins. Zoonosis can occur not only through direct transmission from vertebrates to humans, but also through intermediate reservoirs or other environm...

journal_title：BMC bioinformatics

authors： Bae SE,Son HS

更新日期：2011-04-13 00:00:00

abstract：BACKGROUND:The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gol...

journal_title：BMC bioinformatics

authors： Hibbs MA,Dirksen NC,Li K,Troyanskaya OG

更新日期：2005-05-12 00:00:00

abstract：BACKGROUND:To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other nodes ...

journal_title：BMC bioinformatics

authors： Chang HC,Chu CP,Lin SJ,Hsiao CK

更新日期：2020-03-12 00:00:00

abstract：BACKGROUND:In population genetics, simulation is a fundamental tool for analyzing how basic evolutionary forces such as natural selection, recombination, and mutation shape the genetic landscape of a population. Forward simulation represents the most powerful, but, at the same time, most compute-intensive approach for ...

journal_title：BMC bioinformatics

authors： Aberer AJ,Stamatakis A

更新日期：2013-07-09 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:Most single stranded RNA (ssRNA) viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in uncharacterized target capsid sequences is essential for epidemiology, diagnostics, and vaccine development. Strain recognition based on similar...

journal_title：BMC bioinformatics

authors： Zhu D,Fox GE,Chakravarty S

更新日期：2007-10-10 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:A cross-correlation (XCorr) score function is one of the most popular score functions utilized to search peptide identifications in databases, and many computer programs, such as SEQUEST, Comet, and Tide, currently use this score function. Recently, the HiXCorr algorithm was developed to speed up this score ...

journal_title：BMC bioinformatics

authors： Kim H,Han S,Um JH,Park K

更新日期：2018-12-12 00:00:00

abstract：BACKGROUND:Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality of a single protein model, which is important for selecting a few good models out of a large model ...

journal_title：BMC bioinformatics

authors： Cao R,Bhattacharya D,Hou J,Cheng J

更新日期：2016-12-05 00:00:00

abstract：BACKGROUND:The advance of next generation sequencing enables higher throughput with lower price, and as the basic of high-throughput sequencing data analysis, variant calling is widely used in disease research, clinical treatment and medicine research. However, current mainstream variant caller tools have a serious pro...

journal_title：BMC bioinformatics

authors： Xiao A,Wu Z,Dong S

更新日期：2019-02-14 00:00:00

abstract：BACKGROUND:Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify biologically meaningful biomarkers related to a specific disease under study. In this paper, we develop a nove...

journal_title：BMC bioinformatics

authors： Chen L,Xuan J,Wang C,Shih IeM,Wang Y,Zhang Z,Hoffman E,Clarke R

更新日期：2008-10-06 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