CaPSID: a bioinformatics platform for computational pathogen sequence identification in human genomes and transcriptomes.

abstract：BACKGROUND:The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical research articles. We participated in Task 2 of the evaluation. For this task, we built a system to automatically annotate a given protein wit...

journal_title：BMC bioinformatics

authors： Ray S,Craven M

更新日期：2005-01-01 00:00:00

abstract：BACKGROUND:Cluster analysis is the most common unsupervised method for finding hidden groups in data. Clustering presents two main challenges: (1) finding the optimal number of clusters, and (2) removing "outliers" among the objects being clustered. Few clustering algorithms currently deal directly with the outlier pro...

journal_title：BMC bioinformatics

authors： Wang M,Abrams ZB,Kornblau SM,Coombes KR

更新日期：2018-01-08 00:00:00

abstract：BACKGROUND:Word sense disambiguation (WSD) attempts to solve lexical ambiguities by identifying the correct meaning of a word based on its context. WSD has been demonstrated to be an important step in knowledge-based approaches to automatic summarization. However, the correlation between the accuracy of the WSD methods...

journal_title：BMC bioinformatics

authors： Plaza L,Jimeno-Yepes AJ,Díaz A,Aronson AR

更新日期：2011-08-26 00:00:00

abstract：BACKGROUND:Inference of sequence homology is inherently an evolutionary question, dependent upon evolutionary divergence. However, the insertion and deletion penalties in the most widely used methods for inferring homology by sequence alignment, including BLAST and profile hidden Markov models (profile HMMs), are not b...

journal_title：BMC bioinformatics

authors： Rivas E,Eddy SR

更新日期：2015-12-10 00:00:00

abstract：:Metabolic network alignment is a system scale comparative analysis that discovers important similarities and differences across different metabolisms and organisms. Although the problem of aligning metabolic networks has been considered in the past, the computational complexity of the existing solutions has so far lim...

journal_title：BMC bioinformatics

authors： Ay F,Dang M,Kahveci T

更新日期：2012-03-21 00:00:00

abstract：BACKGROUND:A metagenomic sample is a set of DNA fragments, randomly extracted from multiple cells in an environment, belonging to distinct, often unknown species. Unsupervised metagenomic clustering aims at partitioning a metagenomic sample into sets that approximate taxonomic units, without using reference genomes. Si...

journal_title：BMC bioinformatics

authors： Alanko J,Cunial F,Belazzougui D,Mäkinen V

更新日期：2017-03-14 00:00:00

abstract：BACKGROUND:Probing the complex fusion of genetic and environmental interactions, metabolic profiling (or metabolomics/metabonomics), the study of small molecules involved in metabolic reactions, is a rapidly expanding 'omics' field. A major technique for capturing metabolite data is 1H-NMR spectroscopy and this yields ...

journal_title：BMC bioinformatics

authors： Muncey HJ,Jones R,De Iorio M,Ebbels TM

更新日期：2010-10-06 00:00:00

abstract：BACKGROUND:Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the study in question. Several schemes have been developed to characterize such information in scientific journal articles. For example, a simple ...

journal_title：BMC bioinformatics

authors： Guo Y,Korhonen A,Liakata M,Silins I,Hogberg J,Stenius U

更新日期：2011-03-08 00:00:00

abstract：BACKGROUND:Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have bee...

journal_title：BMC bioinformatics

authors： Thomas JM,Horspool D,Brown G,Tcherepanov V,Upton C

更新日期：2007-01-23 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: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:Supervised learning and many stochastic methods for predicting protein-protein interactions require both negative and positive interactions in the training data set. Unlike positive interactions, negative interactions cannot be readily obtained from interaction data, so these must be generated. In protein-pr...

journal_title：BMC bioinformatics

authors： Kim J,Huang DS,Han K

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions must be discovered. However, current computational methods for predicti...

journal_title：BMC bioinformatics

authors： Yan C,Duan G,Wu FX,Wang J

更新日期：2019-12-27 00:00:00

abstract：BACKGROUND:Identifying key components in biological processes and their associations is critical for deciphering cellular functions. Recently, numerous gene expression and molecular interaction experiments have been reported in Saccharomyces cerevisiae, and these have enabled systematic studies. Although a number of ap...

journal_title：BMC bioinformatics

authors： Hsu JT,Peng CH,Hsieh WP,Lan CY,Tang CY

更新日期：2011-07-12 00:00:00

abstract：BACKGROUND:As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. However, its clinical use is not fully validated yet. An important factor to prevent this young technology to become a mainstream cancer diagnos...

journal_title：BMC bioinformatics

authors： Han H

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Relative isotope abundance quantification, which can be used for peptide identification and differential peptide quantification, plays an important role in liquid chromatography-mass spectrometry (LC-MS)-based proteomics. However, several major issues exist in the relative isotopic quantification of peptides...

journal_title：BMC bioinformatics

authors： Haskins WE,Petritis K,Zhang J

更新日期：2011-03-15 00:00:00

abstract：BACKGROUND:Pattern recognition receptors of the immune system have key roles in the regulation of pathways after the recognition of microbial- and danger-associated molecular patterns in vertebrates. Members of NOD-like receptor (NLR) family typically function intracellularly. The NOD-like receptor family CARD domain c...

journal_title：BMC bioinformatics

authors： Mótyán JA,Bagossi P,Benkő S,Tőzsér J

更新日期：2013-09-17 00:00:00

abstract：BACKGROUND:Recent years have seen an increased amount of natural language processing (NLP) work on full text biomedical journal publications. Much of this work is done with Open Access journal articles. Such work assumes that Open Access articles are representative of biomedical publications in general and that methods...

journal_title：BMC bioinformatics

authors： Verspoor K,Cohen KB,Hunter L

更新日期：2009-06-15 00:00:00

abstract：BACKGROUND:Using phylogenomic analysis tools for tracking pathogens has become standard practice in academia, public health agencies, and large industries. Using the same raw read genomic data as input, there are several different approaches being used to infer phylogenetic tree. These include many different SNP pipeli...

journal_title：BMC bioinformatics

authors： McTavish EJ,Pettengill J,Davis S,Rand H,Strain E,Allard M,Timme RE

更新日期：2017-03-20 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: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：BACKGROUND:The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially ...

journal_title：BMC bioinformatics

authors： Mao F,Williams D,Zhaxybayeva O,Poptsova M,Lapierre P,Gogarten JP,Xu Y

更新日期：2012-06-07 00:00:00

abstract：BACKGROUND:In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the...

journal_title：BMC bioinformatics

authors： Thompson JD,Muller A,Waterhouse A,Procter J,Barton GJ,Plewniak F,Poch O

更新日期：2006-06-23 00:00:00

abstract：BACKGROUND:Numerical solutions of the chemical master equation (CME) are important for understanding the stochasticity of biochemical systems. However, solving CMEs is a formidable task. This task is complicated due to the nonlinear nature of the reactions and the size of the networks which result in different realizat...

journal_title：BMC bioinformatics

authors： Kosarwal R,Kulasiri D,Samarasinghe S

更新日期：2020-11-11 00:00:00

abstract：BACKGROUND:Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene networks. Existing tests for network enrichment analysis deal only with undirected networks, they can be computationally slow and a...

journal_title：BMC bioinformatics

authors： Signorelli M,Vinciotti V,Wit EC

更新日期：2016-09-05 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:Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors fr...

journal_title：BMC bioinformatics

authors： Sleep JA,Schreiber AW,Baumann U

更新日期：2013-12-18 00:00:00

abstract：BACKGROUND:RNA secondary structure prediction, or folding, is a classic problem in bioinformatics: given a sequence of nucleotides, the aim is to predict the base pairs formed in its three dimensional conformation. The inverse problem of designing a sequence folding into a particular target structure has only more rece...

journal_title：BMC bioinformatics

authors： Lyngsø RB,Anderson JW,Sizikova E,Badugu A,Hyland T,Hein J

更新日期：2012-10-09 00:00:00

abstract：BACKGROUND:The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently ...

journal_title：BMC bioinformatics

authors： Shaw GT,Pao YY,Wang D

更新日期：2016-11-25 00:00:00

abstract：BACKGROUND:One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-induced duplex destabiliz...

journal_title：BMC bioinformatics

authors： Bland C,Newsome AS,Markovets AA

更新日期：2010-10-07 00:00:00