Simultaneous fitting of real-time PCR data with efficiency of amplification modeled as Gaussian function of target fluorescence.

abstract：BACKGROUND:The locations and shapes of synapses are important in reconstructing connectomes and analyzing synaptic plasticity. However, current synapse detection and segmentation methods are still not adequate for accurately acquiring the synaptic connectivity, and they cannot effectively alleviate the burden of synaps...

journal_title：BMC bioinformatics

authors： Xiao C,Li W,Deng H,Chen X,Yang Y,Xie Q,Han H

更新日期：2018-07-13 00:00:00

abstract：BACKGROUND:The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computational tool for the prediction of subnuclear and subcellular localizations generally applicable to protein sequences. The information on localiza...

journal_title：BMC bioinformatics

authors： Lei Z,Dai Y

更新日期：2005-12-07 00:00:00

abstract：BACKGROUND:Most human genes produce several transcripts with different exon contents by using alternative promoters, alternative polyadenylation sites and alternative splice sites. Much effort has been devoted to describing known gene transcripts through the development of numerous databases. Nevertheless, owing to the...

journal_title：BMC bioinformatics

authors： de la Grange P,Dutertre M,Correa M,Auboeuf D

更新日期：2007-06-04 00:00:00

abstract：BACKGROUND:Lineage rate heterogeneity can be a major source of bias, especially in multi-gene phylogeny inference. We had previously tackled this issue by developing LS3, a data subselection algorithm that, by removing fast-evolving sequences in a gene-specific manner, identifies subsets of sequences that evolve at a r...

journal_title：BMC bioinformatics

authors： Rivera-Rivera CJ,Montoya-Burgos JI

更新日期：2019-08-13 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:In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently few choices for the analysis of a pair of microarrays where N = 1 in each condition. In this paper, we demonstrate the effectiveness of a new al...

journal_title：BMC bioinformatics

authors： Reid RW,Fodor AA

更新日期：2008-11-21 00:00:00

abstract：BACKGROUND:A common feature of microarray experiments is the occurrence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the filtering of poor quality spots and the removal of undefined values when a logarithmic transformation is applied to negative backgro...

journal_title：BMC bioinformatics

authors： Tom BD,Gilks WR,Brooke-Powell ET,Ajioka JW

更新日期：2005-09-26 00:00:00

abstract：BACKGROUND:Community structure is ubiquitous in biological networks. There has been an increased interest in unraveling the community structure of biological systems as it may provide important insights into a system's functional components and the impact of local structures on dynamics at a global scale. Choosing an a...

journal_title：BMC bioinformatics

authors： Sah P,Singh LO,Clauset A,Bansal S

更新日期：2014-06-25 00:00:00

abstract：BACKGROUND:Metabolomics experiments using Mass Spectrometry (MS) technology measure the mass to charge ratio (m/z) and intensity of ionised molecules in crude extracts of complex biological samples to generate high dimensional metabolite 'fingerprint' or metabolite 'profile' data. High resolution MS instruments perform...

journal_title：BMC bioinformatics

authors： Draper J,Enot DP,Parker D,Beckmann M,Snowdon S,Lin W,Zubair H

更新日期：2009-07-21 00:00:00

abstract：BACKGROUND:The misregulation of microRNA (miRNA) has been shown to cause diseases. Recently, we have proposed a computational method based on a random walk framework on a miRNA-target gene network to predict disease-associated miRNAs. The prediction performance of our method is better than that of some existing state-o...

journal_title：BMC bioinformatics

authors： Le DH,Tran TTH

更新日期：2020-06-15 00:00:00

abstract：BACKGROUND:Analyses of molecular high-throughput data often lack in robustness, i.e. results are very sensitive to the addition or removal of a single observation. Therefore, the identification of extreme observations is an important step of quality control before doing further data analysis. Standard outlier detection...

journal_title：BMC bioinformatics

authors： Kruppa J,Jung K

更新日期：2017-05-02 00:00:00

abstract：BACKGROUND:The exponential growth of gigantic biological data from various sources, such as protein-protein interaction (PPI), genome sequences scaffolding, Mass spectrometry (MS) molecular networking and metabolic flux, demands an efficient way for better visualization and interpretation beyond the conventional, two-d...

journal_title：BMC bioinformatics

authors： Wang Q,Tang B,Song L,Ren B,Liang Q,Xie F,Zhuo Y,Liu X,Zhang L

更新日期：2013-11-14 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:The wide use of high-throughput DNA microarray technology provide an increasingly detailed view of human transcriptome from hundreds to thousands of genes. Although biomedical researchers typically design microarray experiments to explore specific biological contexts, the relationships between genes are hard...

journal_title：BMC bioinformatics

authors： Kong W,Mou X,Hu X

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:It has long been recognized that sensitivity analysis plays a key role in modeling and analyzing cellular and biochemical processes. Systems biology markup language (SBML) has become a well-known platform for coding and sharing mathematical models of such processes. However, current SBML compatible software ...

journal_title：BMC bioinformatics

authors： Zi Z,Zheng Y,Rundell AE,Klipp E

更新日期：2008-08-15 00:00:00

abstract：BACKGROUND:The use of classification algorithms is becoming increasingly important for the field of computational biology. However, not only the quality of the classification, but also its biological interpretation is important. This interpretation may be eased if interacting elements can be identified and visualized, ...

journal_title：BMC bioinformatics

authors： Bornelöv S,Marillet S,Komorowski J

更新日期：2014-05-12 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:Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel brightness correction m...

journal_title：BMC bioinformatics

authors： Ou Q,Xiao J,Yu L,Wu K,Xiong B

更新日期：2020-03-19 00:00:00

abstract：BACKGROUND:Fluorescent and luminescent gene reporters allow us to dynamically quantify changes in molecular species concentration over time on the single cell level. The mathematical modeling of their interaction through multivariate dynamical models requires the development of effective statistical methods to calibrat...

journal_title：BMC bioinformatics

authors： Komorowski M,Finkenstädt B,Harper CV,Rand DA

更新日期：2009-10-19 00:00:00

abstract：BACKGROUND:High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflows. The improved spectral quality enables more accurate de novo sequencing for identification of post-translational modifications and amino ac...

journal_title：BMC bioinformatics

authors： Pan C,Park BH,McDonald WH,Carey PA,Banfield JF,VerBerkmoes NC,Hettich RL,Samatova NF

更新日期：2010-03-05 00:00:00

abstract：BACKGROUND:To understand the evolutionary role of Lateral Gene Transfer (LGT), accurate methods are needed to identify transferred genes and infer their timing of acquisition. Phylogenetic methods are particularly promising for this purpose, but the reconciliation of a gene tree with a reference (species) tree is compu...

journal_title：BMC bioinformatics

authors： Abby SS,Tannier E,Gouy M,Daubin V

更新日期：2010-06-15 00:00:00

abstract：BACKGROUND:Many processes in molecular biology involve the recognition of short sequences of nucleic-or amino acids, such as the binding of immunogenic peptides to major histocompatibility complex (MHC) molecules. From experimental data, a model of the sequence specificity of these processes can be constructed, such as...

journal_title：BMC bioinformatics

authors： Peters B,Sette A

更新日期：2005-05-31 00:00:00

abstract：BACKGROUND:In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differences in gel migration and sample variability make efficient spot alignment very difficult to obtain, and, as consequence most of the software ...

journal_title：BMC bioinformatics

authors： Pérès S,Molina L,Salvetat N,Granier C,Molina F

更新日期：2008-10-28 00:00:00

abstract：BACKGROUND:Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectral content of a given time series. The exact noise characteristics are unknown in many bioinformatics applications. Furthermore, the observed ...

journal_title：BMC bioinformatics

authors： Ahdesmäki M,Lähdesmäki H,Pearson R,Huttunen H,Yli-Harja O

更新日期：2005-05-13 00:00:00

abstract：BACKGROUND:Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charges of fragment ions, ...

journal_title：BMC bioinformatics

authors： Jaiswal M,Crabtree N,Bauer MA,Hall R,Raney KD,Zybailov BL

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:High-throughput technology allows for genome-wide measurements at different molecular levels for the same patient, e.g. single nucleotide polymorphisms (SNPs) and gene expression. Correspondingly, it might be beneficial to also integrate complementary information from different molecular levels when building...

journal_title：BMC bioinformatics

authors： Hieke S,Benner A,Schlenl RF,Schumacher M,Bullinger L,Binder H

更新日期：2016-08-30 00:00:00

abstract：BACKGROUND:Alternative splicing isoforms have been reported as a new and robust class of diagnostic biomarkers. Over 95% of human genes are estimated to be alternatively spliced as a powerful means of producing functionally diverse proteins from a single gene. The emergence of next-generation sequencing technologies, e...

journal_title：BMC bioinformatics

authors： Zhang F,Deng CK,Wang M,Deng B,Barber R,Huang G

更新日期：2020-12-03 00:00:00

abstract：BACKGROUND:Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation. Whether the task is to identify co-expressed genes in large-scale expression surveys or to predict combinations of gene knockouts which would elicit a similar phe...

journal_title：BMC bioinformatics

authors： Lee JY,Fujimoto GM,Wilson R,Wiley HS,Payne SH

更新日期：2018-06-11 00:00:00

abstract：BACKGROUND:Single-pass, partial sequencing of complementary DNA (cDNA) libraries generates thousands of chromatograms that are processed into high quality expressed sequence tags (ESTs), and then assembled into contigs representative of putative genes. Usually, to be of value, ESTs and contigs must be associated with m...

journal_title：BMC bioinformatics

authors： Kumar CG,LeDuc R,Gong G,Roinishivili L,Lewin HA,Liu L

更新日期：2004-11-04 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