A computational analysis of SARS cysteine proteinase-octapeptide substrate interaction: implication for structure and active site binding mechanism.

abstract：BACKGROUND:The MAQC project demonstrated that microarrays with comparable content show inter- and intra-platform reproducibility. However, since the content of gene databases still increases, the development of new generations of microarrays covering new content is mandatory. To better understand the potential challeng...

journal_title：BMC bioinformatics

authors： Eggle D,Debey-Pascher S,Beyer M,Schultze JL

更新日期：2009-06-18 00:00:00

abstract：BACKGROUND:Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale resequencing projects. The 1000 Genomes Project and similar efforts in other species are challenging the methods previously used for storage and m...

journal_title：BMC bioinformatics

authors： Rios D,McLaren WM,Chen Y,Birney E,Stabenau A,Flicek P,Cunningham F

更新日期：2010-05-11 00:00:00

abstract：BACKGROUND:Nearly all cellular processes involve proteins structurally rearranging to accommodate molecular partners. The energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting between structures with varying energies. In principle, reconstructing a protein's energy landscape ...

journal_title：BMC bioinformatics

authors： Morris D,Maximova T,Plaku E,Shehu A

更新日期：2019-06-06 00:00:00

abstract：BACKGROUND:Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cycle by employing the traditional experimental method. With the fact that the number of drug molecules with positive activity is rather fewer t...

journal_title：BMC bioinformatics

authors： Li GZ,Meng HH,Lu WC,Yang JY,Yang MQ

更新日期：2008-05-28 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:Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes and reactions that are essential for the organism. A goal of computational and systems biology is to go beyond identification towards an explana...

journal_title：BMC bioinformatics

authors： Samal A,Singh S,Giri V,Krishna S,Raghuram N,Jain S

更新日期：2006-03-08 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:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from t...

journal_title：BMC bioinformatics

authors： Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman O

更新日期：2018-10-04 00:00:00

abstract：BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

journal_title：BMC bioinformatics

authors： Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

更新日期：2012-03-13 00:00:00

abstract：BACKGROUND:The challenge of classifying cortical interneurons is yet to be solved. Data-driven classification into established morphological types may provide insight and practical value. RESULTS:We trained models using 217 high-quality morphologies of rat somatosensory neocortex interneurons reconstructed by a single...

journal_title：BMC bioinformatics

authors： Mihaljević B,Larrañaga P,Benavides-Piccione R,Hill S,DeFelipe J,Bielza C

更新日期：2018-12-17 00:00:00

abstract：BACKGROUND:Innovations in biological and biomedical imaging produce complex high-content and multivariate image data. For decision-making and generation of hypotheses, scientists need novel information technology tools that enable them to visually explore and analyze the data and to discuss and communicate results or f...

journal_title：BMC bioinformatics

authors： Loyek C,Rajpoot NM,Khan M,Nattkemper TW

更新日期：2011-07-21 00:00:00

abstract：BACKGROUND:Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of expression signatures. Microarray data generally includes individual e...

journal_title：BMC bioinformatics

authors： Wang G,Kossenkov AV,Ochs MF

更新日期：2006-03-28 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: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:Journal articles and databases are two major modes of communication in the biological sciences, and thus integrating these critical resources is of urgent importance to increase the pace of discovery. Projects focused on bridging the gap between journals and databases have been on the rise over the last five...

journal_title：BMC bioinformatics

authors： Rangarajan A,Schedl T,Yook K,Chan J,Haenel S,Otis L,Faelten S,DePellegrin-Connelly T,Isaacson R,Skrzypek MS,Marygold SJ,Stefancsik R,Cherry JM,Sternberg PW,Müller HM

更新日期：2011-05-19 00:00:00

abstract：BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

journal_title：BMC bioinformatics

authors： Weinberg Z,Breaker RR

更新日期：2011-01-04 00:00:00

abstract：BACKGROUND:The goal of metabolomics analyses is a comprehensive and systematic understanding of all metabolites in biological samples. Many useful platforms have been developed to achieve this goal. Gas chromatography coupled to mass spectrometry (GC/MS) is a well-established analytical method in metabolomics study, an...

journal_title：BMC bioinformatics

authors： Tsugawa H,Tsujimoto Y,Arita M,Bamba T,Fukusaki E

更新日期：2011-05-04 00:00:00

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:The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND) seeks to capture these data in a machine-rea...

journal_title：BMC bioinformatics

authors： Donaldson I,Martin J,de Bruijn B,Wolting C,Lay V,Tuekam B,Zhang S,Baskin B,Bader GD,Michalickova K,Pawson T,Hogue CW

更新日期：2003-03-27 00:00:00

abstract：BACKGROUND:The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing...

journal_title：BMC bioinformatics

authors： Revanna KV,Chiu CC,Bierschank E,Dong Q

更新日期：2011-08-02 00:00:00

abstract：BACKGROUND:Reference genome assemblies are valuable, as they provide insights into gene content, genetic evolution and domestication. The higher the quality of a reference genome assembly the more accurate the downstream analysis will be. During the last few years, major efforts have been made towards improving the qua...

journal_title：BMC bioinformatics

authors： Yuan Y,Bayer PE,Scheben A,Chan CK,Edwards D

更新日期：2017-06-30 00:00:00

abstract：BACKGROUND:Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multiple genes working in networks that are often repre...

journal_title：BMC bioinformatics

authors： Li Z,Safo SE,Long Q

更新日期：2017-07-11 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: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:Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as well as non-cell auton...

journal_title：BMC bioinformatics

authors： Vacca M,Tripathi KP,Speranza L,Aiese Cigliano R,Scalabrì F,Marracino F,Madonna M,Sanseverino W,Perrone-Capano C,Guarracino MR,D'Esposito M

更新日期：2016-01-20 00:00:00

abstract：BACKGROUND:REX1 and REX2 are protein components of the RNA editing complex (the editosome) and function as exouridylylases. The exact roles of REX1 and REX2 in the editosome are unclear and the consequences of the presence of two related proteins are not fully understood. Here, a variety of computational studies were p...

journal_title：BMC bioinformatics

authors： Mian IS,Worthey EA,Salavati R

更新日期：2006-06-16 00:00:00

abstract：BACKGROUND:Detection of genomic DNA copy number variations (CNVs) can provide a complete and more comprehensive view of human disease. It is interesting to identify and represent relevant CNVs from a genome-wide data due to high data volume and the complexity of interactions. RESULTS:In this paper, we incorporate the ...

journal_title：BMC bioinformatics

authors： Liu Y,Lee YF,Ng MK

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

journal_title：BMC bioinformatics

authors： Cai B,Yang X,Tuskan GA,Cheng ZM

更新日期：2011-03-18 00:00:00

abstract：BACKGROUND:One very important functional domain of proteins is the protein-protein interacting region (PPIR), which forms the binding interface between interacting polypeptide chains. Post-translational modifications (PTMs) that occur in the PPIR can either interfere with or facilitate the interaction between proteins....

journal_title：BMC bioinformatics

authors： Saethang T,Payne DM,Avihingsanon Y,Pisitkun T

更新日期：2016-08-17 00:00:00

abstract：BACKGROUND:During the last few years, DNA sequence analysis has become one of the primary means of taxonomic identification of species, particularly so for species that are minute or otherwise lack distinct, readily obtainable morphological characters. Although the number of sequences available for comparison in public...

journal_title：BMC bioinformatics

authors： Nilsson RH,Kristiansson E,Ryberg M,Larsson KH

更新日期：2005-07-18 00:00:00