BIOZON: a system for unification, management and analysis of heterogeneous biological data.

abstract：BACKGROUND:Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the emergence of resistant strains. The outlook is worsened by the absence of promising drug targets for this disease. We have taken a computationa...

journal_title：BMC bioinformatics

authors： Flórez AF,Park D,Bhak J,Kim BC,Kuchinsky A,Morris JH,Espinosa J,Muskus C

更新日期：2010-09-27 00:00:00

abstract：BACKGROUND:Metabolomics is one of most recent omics technologies. It has been applied on fields such as food science, nutrition, drug discovery and systems biology. For this, gas chromatography-mass spectrometry (GC-MS) has been largely applied and many computational tools have been developed to support the analysis of...

journal_title：BMC bioinformatics

authors： Aggio RB,Mayor A,Reade S,Probert CS,Ruggiero K

更新日期：2014-12-10 00:00:00

abstract：BACKGROUND:Differentially expressed genes are typically identified by analyzing the variation between replicate measurements. These procedures implicitly assume that there are no systematic errors in the data even though several sources of systematic error are known. RESULTS:OpWise estimates the amount of systematic e...

journal_title：BMC bioinformatics

authors： Price MN,Arkin AP,Alm EJ

更新日期：2006-01-13 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:Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the sequencing of small non-coding regulatory RNAs and the identification of the genomic locales from which they originate. Currently, there is a pauci...

journal_title：BMC bioinformatics

authors： MacLean D,Moulton V,Studholme DJ

更新日期：2010-02-18 00:00:00

abstract：BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

journal_title：BMC bioinformatics

authors： Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

更新日期：2018-05-30 00:00:00

abstract：BACKGROUND:Cellular functions are coordinately carried out by groups of genes forming functional modules. Identifying such modules in the transcriptional regulatory network (TRN) of organisms is important for understanding the structure and function of these fundamental cellular networks and essential for the emerging ...

journal_title：BMC bioinformatics

authors： Ma HW,Buer J,Zeng AP

更新日期：2004-12-16 00:00:00

abstract：BACKGROUND:Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an original cell to target cell type needs the cell similarity and cell specific regu...

journal_title：BMC bioinformatics

authors： Li L,Che D,Wang X,Zhang P,Rahman SU,Zhao J,Yu J,Tao S,Lu H,Liao M

更新日期：2019-03-04 00:00:00

abstract：BACKGROUND:In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segments in the germline. Partitioning the functional antibody sequences to their sourcing germline gene segments is vital not only for understanding...

journal_title：BMC bioinformatics

authors： Wang X,Wu D,Zheng S,Sun J,Tao L,Li Y,Cao Z

更新日期：2008-12-12 00:00:00

abstract：BACKGROUND:Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good model of GRN. Howeve...

journal_title：BMC bioinformatics

authors： Lo LY,Wong ML,Lee KH,Leung KS

更新日期：2015-11-25 00:00:00

abstract：BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

journal_title：BMC bioinformatics

authors： Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

更新日期：2010-11-29 00:00:00

abstract：BACKGROUND:DNA methylation patterns store epigenetic information in the vast majority of eukaryotic species. The relatively high costs and technical challenges associated with the detection of DNA methylation however have created a bias in the number of methylation studies towards model organisms. Consequently, it rema...

journal_title：BMC bioinformatics

authors： Bulla I,Aliaga B,Lacal V,Bulla J,Grunau C,Chaparro C

更新日期：2018-03-27 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:High-throughput Next-Generation Sequencing (NGS) techniques are advancing genomics and molecular biology research. This technology generates substantially large data which puts up a major challenge to the scientists for an efficient, cost and time effective solution to analyse such data. Further, for the dif...

journal_title：BMC bioinformatics

authors： Maji RK,Sarkar A,Khatua S,Dasgupta S,Ghosh Z

更新日期：2014-06-04 00:00:00

abstract：BACKGROUND:Over the last few years transcriptome sequencing (RNA-Seq) has almost completely taken over microarrays for high-throughput studies of gene expression. Currently, the most popular use of RNA-Seq is to identify genes which are differentially expressed between two or more conditions. Despite the importance of ...

journal_title：BMC bioinformatics

authors： Rahmatallah Y,Emmert-Streib F,Glazko G

更新日期：2014-12-05 00:00:00

abstract：BACKGROUND:Supercomputers have become indispensable infrastructures in science and industries. In particular, most state-of-the-art scientific results utilize massively parallel supercomputers ranked in TOP500. However, their use is still limited in the bioinformatics field due to the fundamental fact that the asynchro...

journal_title：BMC bioinformatics

authors： Ito S,Yadome M,Nishiki T,Ishiduki S,Inoue H,Yamaguchi R,Miyano S

更新日期：2019-12-02 00:00:00

abstract：BACKGROUND:As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of signaling pathways during disease development or therapeutic intervention would assist in drug development, design of therapy, and target ide...

journal_title：BMC bioinformatics

authors： Bidaut G,Suhre K,Claverie JM,Ochs MF

更新日期：2006-02-28 00:00:00

abstract：BACKGROUND:The adaptive immune response intrinsically depends on hypervariable human leukocyte antigen (HLA) genes. Concomitantly, correct HLA phenotyping is crucial for successful donor-patient matching in organ transplantation. The cost and technical limitations of current laboratory techniques, together with advance...

journal_title：BMC bioinformatics

authors： Matey-Hernandez ML,Danish Pan Genome Consortium.,Brunak S,Izarzugaza JMG

更新日期：2018-06-25 00:00:00

abstract：BACKGROUND:Bioinformatics research for finding biological mechanisms can be done by analysis of transcriptome data with pathway based interpretation. Therefore, researchers have tried to develop tools to analyze transcriptome data with pathway based interpretation. Over the years, the amount of omics data has become hu...

journal_title：BMC bioinformatics

authors： Kim I,Choi S,Kim S

更新日期：2018-02-19 00:00:00

abstract：BACKGROUND:Parsimony and maximum likelihood methods of phylogenetic tree estimation and parsimony methods for genome rearrangements are central to the study of genome evolution yet to date they have largely been pursued in isolation. RESULTS:We present a data structure called a history graph that offers a practical ba...

journal_title：BMC bioinformatics

authors： Paten B,Zerbino DR,Hickey G,Haussler D

更新日期：2014-06-19 00:00:00

abstract：BACKGROUND:Zebrafish is a widely used model organism for studying heart development and cardiac-related pathogenesis. With the ability of surviving without a functional circulation at larval stages, strong genetic similarity between zebrafish and mammals, prolific reproduction and optically transparent embryos, zebrafi...

journal_title：BMC bioinformatics

authors： Kang CP,Tu HC,Fu TF,Wu JM,Chu PH,Chang DT

更新日期：2018-05-09 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:It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collati...

journal_title：BMC bioinformatics

authors： Ngo TM,Teo YY

更新日期：2019-02-08 00:00:00

abstract：BACKGROUND:The biological network is highly dynamic. Functional relations between genes can be activated or deactivated depending on the biological conditions. On the genome-scale network, subnetworks that gain or lose local expression consistency may shed light on the regulatory mechanisms related to the changing biol...

journal_title：BMC bioinformatics

authors： Lu J,Lu Y,Ding Y,Xiao Q,Liu L,Cai Q,Kong Y,Bai Y,Yu T

更新日期：2019-12-24 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:Barcode multiplexing is a key strategy for sharing the rising capacity of next-generation sequencing devices: Synthetic DNA tags, called barcodes, are attached to natural DNA fragments within the library preparation procedure. Different libraries, can individually be labeled with barcodes for a joint sequenc...

journal_title：BMC bioinformatics

authors： Kracht D,Schober S

更新日期：2015-02-18 00:00:00

abstract：BACKGROUND:Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically expressed. Such challenge occurs due to the fact that the observed time series usually exhibit non-idealities, such as noise, short length, an...

journal_title：BMC bioinformatics

authors： Liew AW,Xian J,Wu S,Smith D,Yan H

更新日期：2007-04-24 00:00:00

abstract：BACKGROUND:Stable isotope tracing can follow individual atoms through metabolic transformations through the detection of the incorporation of stable isotope within metabolites. This resulting data can be interpreted in terms related to metabolic flux. However, detection of a stable isotope in metabolites by mass spectr...

journal_title：BMC bioinformatics

authors： Jin H,Moseley HNB

更新日期：2019-10-28 00:00:00

abstract：BACKGROUND:Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all maj...

journal_title：BMC bioinformatics

authors： Chebira A,Barbotin Y,Jackson C,Merryman T,Srinivasa G,Murphy RF,Kovacević J

更新日期：2007-06-19 00:00:00

abstract：BACKGROUND:Long-range interactions between regulatory DNA elements such as enhancers, insulators and promoters play an important role in regulating transcription. As chromatin contacts have been found throughout the human genome and in different cell types, spatial transcriptional control is now viewed as a general mec...

journal_title：BMC bioinformatics

authors： Rousseau M,Fraser J,Ferraiuolo MA,Dostie J,Blanchette M

更新日期：2011-10-25 00:00:00