Fpocket: an open source platform for ligand pocket detection.

abstract：BACKGROUND:Microarray technology is commonly used as a simple screening tool with a focus on selecting genes that exhibit extremely large differential expressions between different phenotypes. It lacks the ability to select genes that change their relationships with other genes in different biological conditions (diffe...

journal_title：BMC bioinformatics

authors： Hu R,Qiu X,Glazko G,Klebanov L,Yakovlev A

更新日期：2009-01-15 00:00:00

abstract：BACKGROUND:Accurate annotation of translation initiation sites (TISs) is essential for understanding the translation initiation mechanism. However, the reliability of TIS annotation in widely used databases such as RefSeq is uncertain due to the lack of experimental benchmarks. RESULTS:Based on a homogeneity assumptio...

journal_title：BMC bioinformatics

authors： Hu GQ,Zheng X,Ju LN,Zhu H,She ZS

更新日期：2008-03-25 00:00:00

abstract：BACKGROUND:Gene expression experiments are common in molecular biology, for example in order to identify genes which play a certain role in a specified biological framework. For that purpose expression levels of several thousand genes are measured simultaneously using DNA microarrays. Comparing two distinct groups of t...

journal_title：BMC bioinformatics

authors： Jung K,Friede T,Beissbarth T

更新日期：2011-07-15 00:00:00

abstract：BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

journal_title：BMC bioinformatics

authors： Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

更新日期：2014-06-11 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:The analysis of tissue-specific protein interaction networks and their functional enrichment in pathological and normal tissues provides insights on the etiology of diseases. The Pan-cancer proteomic project, in The Cancer Genome Atlas, collects protein expressions in human cancers and it is a reference reso...

journal_title：BMC bioinformatics

authors： Sardina DS,Micale G,Ferro A,Pulvirenti A,Giugno R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Statistical models and methods that associate changes in the physicochemical properties of amino acids with natural selection at the molecular level typically do not take into account the correlations between such properties. We propose a Bayesian hierarchical regression model with a generalization of the Di...

journal_title：BMC bioinformatics

authors： Datta S,Rodriguez A,Prado R

更新日期：2012-10-30 00:00:00

abstract：BACKGROUND:Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that one has to face are integrity, consistency, redundancy, connectivity, expressiveness and updatability. DESCRIPTION:Here we present...

journal_title：BMC bioinformatics

authors： Birkland A,Yona G

更新日期：2006-02-15 00:00:00

abstract：BACKGROUND:The process of oxidative folding combines the formation of native disulfide bond with conformational folding resulting in the native three-dimensional fold. Oxidative folding pathways can be described in terms of disulfide intermediate species (DIS) which can also be isolated and characterized. Each DIS corr...

journal_title：BMC bioinformatics

authors： Agoston V,Cemazar M,Kaján L,Pongor S

更新日期：2005-01-27 00:00:00

abstract：BACKGROUND:A rapidly increasing flow of genomic data requires the development of efficient methods for obtaining its compact representation. Feature extraction facilitates classification, clustering and model analysis for testing and refining biological hypotheses. "Shotgun" metagenome is an analytically challenging ty...

journal_title：BMC bioinformatics

authors： Dubinkina VB,Ischenko DS,Ulyantsev VI,Tyakht AV,Alexeev DG

更新日期：2016-01-16 00:00:00

abstract：BACKGROUND:Multidimensional protein identification technology (MudPIT)-based shot-gun proteomics has been proven to be an effective platform for functional proteomics. In particular, the various sample preparation methods and bioinformatics tools can be integrated to improve the proteomics platform for applications lik...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu S,Dai SY,Yuan JS

更新日期：2012-01-01 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 landscape of biological and biomedical research is being changed rapidly with the invention of microarrays which enables simultaneous view on the transcription levels of a huge number of genes across different experimental conditions or time points. Using microarray data sets, clustering algorithms have ...

journal_title：BMC bioinformatics

authors： Maulik U,Mukhopadhyay A,Bandyopadhyay S

更新日期：2009-01-20 00:00:00

abstract：BACKGROUND:An important application of high dimensional gene expression measurements is the risk prediction and the interpretation of the variables in the resulting survival models. A major problem in this context is the typically large number of genes compared to the number of observations (individuals). Feature selec...

journal_title：BMC bioinformatics

authors： Kammers K,Lang M,Hengstler JG,Schmidt M,Rahnenführer J

更新日期：2011-12-16 00:00:00

abstract：BACKGROUND:Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a network's response to specific input examples that may be insufficien...

journal_title：BMC bioinformatics

authors： Liu G,Zeng H,Gifford DK

更新日期：2019-07-19 00:00:00

abstract：BACKGROUND:Since their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introd...

journal_title：BMC bioinformatics

authors： Block A,Debode F,Grohmann L,Hulin J,Taverniers I,Kluga L,Barbau-Piednoir E,Broeders S,Huber I,Van den Bulcke M,Heinze P,Berben G,Busch U,Roosens N,Janssen E,Žel J,Gruden K,Morisset D

更新日期：2013-08-22 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:Visualization software can expose previously undiscovered patterns in genomic data and advance biological science. RESULTS:The Genoviz Software Development Kit (SDK) is an open source, Java-based framework designed for rapid assembly of visualization software applications for genomics. The Genoviz SDK frame...

journal_title：BMC bioinformatics

authors： Helt GA,Nicol JW,Erwin E,Blossom E,Blanchard SG Jr,Chervitz SA,Harmon C,Loraine AE

更新日期：2009-08-25 00:00:00

abstract：BACKGROUND:In Gene Ontology, the "Molecular Function" (MF) categorization is a widely used knowledge framework for gene function comparison and prediction. Its structure and annotation provide a convenient way to compare gene functional similarities at the molecular level. The existing gene similarity measures, however...

journal_title：BMC bioinformatics

authors： Peng J,Wang Y,Chen J

更新日期：2014-01-01 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:Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays, one is able to choose between two completely different platforms f...

journal_title：BMC bioinformatics

authors： Stiglic G,Bajgot M,Kokol P

更新日期：2010-04-08 00:00:00

abstract：BACKGROUND:Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the last few decades, the search for new drugs and drug targets has prompted an interest in these antibacterial peptides. We analyzed 486 antibacte...

journal_title：BMC bioinformatics

authors： Lata S,Sharma BK,Raghava GP

更新日期：2007-07-23 00:00:00

abstract：BACKGROUND:Biclustering has been largely applied for the unsupervised analysis of biological data, being recognised today as a key technique to discover putative modules in both expression data (subsets of genes correlated in subsets of conditions) and network data (groups of coherently interconnected biological entiti...

journal_title：BMC bioinformatics

authors： Henriques R,Ferreira FL,Madeira SC

更新日期：2017-02-02 00:00:00

abstract：BACKGROUND:Pattern matching is the core of bioinformatics; it is used in database searching, restriction enzyme mapping, and finding open reading frames. It is done repeatedly over increasingly long sequences, thus codes must be efficient and insensitive to sequence length. Such patterns of interest include simple moti...

journal_title：BMC bioinformatics

authors： Mangalam HJ

更新日期：2002-01-01 00:00:00

abstract：BACKGROUND:The recent explosion in biological and other real-world network data has created the need for improved tools for large network analyses. In addition to well established global network properties, several new mathematical techniques for analyzing local structural properties of large networks have been develop...

journal_title：BMC bioinformatics

authors： Milenković T,Lai J,Przulj N

更新日期：2008-01-30 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:Throughout the metazoan lineage, typically gonadal expressed Piwi proteins and their guiding piRNAs (~26-32nt in length) form a protective mechanism of RNA interference directed against the propagation of transposable elements (TEs). Most piRNAs are generated from genomic piRNA clusters. Annotation of experi...

journal_title：BMC bioinformatics

authors： Rosenkranz D,Zischler H

更新日期：2012-01-10 00:00:00

abstract：BACKGROUND:In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the nodes and it will in general be necessary to account for these de...

journal_title：BMC bioinformatics

authors： Thorne T,Stumpf MP

更新日期：2007-11-30 00:00:00

abstract：BACKGROUND:Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved acc...

journal_title：BMC bioinformatics

authors： Kuksa P,Huang PH,Pavlovic V

更新日期：2009-04-29 00:00:00

abstract：BACKGROUND:Given a set of t n-length DNA sequences, q satisfying 0 < q ≤ 1, and l and d satisfying 0 ≤ d < l < n, the quorum planted motif search (qPMS) finds l-length strings that occur in at least qt input sequences with up to d mismatches and is mainly used to locate transcription factor binding sites in DNA sequenc...

journal_title：BMC bioinformatics

authors： Yu Q,Wei D,Huo H

更新日期：2018-06-18 00:00:00