GOAL: a software tool for assessing biological significance of genes groups.

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:Hepatocellular carcinoma (HCC) is an aggressive epithelial tumor which shows very poor prognosis and high rate of recurrence, representing an urgent problem for public healthcare. MicroRNAs (miRNAs/miRs) are a class of small, non-coding RNAs that attract great attention because of their role in regulation of...

journal_title：BMC bioinformatics

authors： Del Vecchio F,Gallo F,Di Marco A,Mastroiaco V,Caianiello P,Zazzeroni F,Alesse E,Tessitore A

更新日期：2015-12-10 00:00:00

abstract：BACKGROUND:The nonparametric trend test (NPT) is well suitable for identifying the genetic variants associated with quantitative traits when the trait values do not satisfy the normal distribution assumption. If the genetic model, defined according to the mode of inheritance, is known, the NPT derived under the given g...

journal_title：BMC bioinformatics

authors： Zhang W,Li H,Li Z,Li Q

更新日期：2016-01-28 00:00:00

abstract：BACKGROUND:Activation of naïve B lymphocytes by extracellular ligands, e.g. antigen, lipopolysaccharide (LPS) and CD40 ligand, induces a combination of common and ligand-specific phenotypic changes through complex signal transduction pathways. For example, although all three of these ligands induce proliferation, only ...

journal_title：BMC bioinformatics

authors： Lee JA,Sinkovits RS,Mock D,Rab EL,Cai J,Yang P,Saunders B,Hsueh RC,Choi S,Subramaniam S,Scheuermann RH,Alliance for Cellular Signaling.

更新日期：2006-05-02 00:00:00

abstract：BACKGROUND:Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a single platform and are not flexible enough to support custom changes, which arise from the new statistical methods, updated versions of refere...

journal_title：BMC bioinformatics

authors： Kim J,Patel K,Jung H,Kuo WP,Ohno-Machado L

更新日期：2011-03-17 00:00:00

abstract：BACKGROUND:The main goal of the whole transcriptome analysis is to correctly identify all expressed transcripts within a specific cell/tissue--at a particular stage and condition--to determine their structures and to measure their abundances. RNA-seq data promise to allow identification and quantification of transcript...

journal_title：BMC bioinformatics

authors： Angelini C,De Canditiis D,De Feis I

更新日期：2014-05-09 00:00:00

abstract：BACKGROUND:Many Bioinformatics studies begin with a multiple sequence alignment as the foundation for their research. This is because multiple sequence alignment can be a useful technique for studying molecular evolution and analyzing sequence structure relationships. RESULTS:In this paper, we have proposed a Vertical...

journal_title：BMC bioinformatics

authors： Naznin F,Sarker R,Essam D

更新日期：2011-08-25 00:00:00

abstract：BACKGROUND:We study the statistical properties of fragment coverage in genome sequencing experiments. In an extension of the classic Lander-Waterman model, we consider the effect of the length distribution of fragments. We also introduce a coding of the shape of the coverage depth function as a tree and explain how thi...

journal_title：BMC bioinformatics

authors： Evans SN,Hower V,Pachter L

更新日期：2010-08-18 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: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:The family of voltage-gated potassium channels comprises a functionally diverse group of membrane proteins. They help maintain and regulate the potassium ion-based component of the membrane potential and are thus central to many critical physiological processes. VKCDB (Voltage-gated potassium [K] Channel Dat...

journal_title：BMC bioinformatics

authors： Li B,Gallin WJ

更新日期：2004-01-09 00:00:00

abstract：BACKGROUND:The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which inten...

journal_title：BMC bioinformatics

authors： Pasche E,Gobeill J,Kreim O,Oezdemir-Zaech F,Vachon T,Lovis C,Ruch P

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, s...

journal_title：BMC bioinformatics

authors： Yamada KD,Kinoshita K

更新日期：2018-07-18 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

abstract：BACKGROUND:Complex microarray gene expression datasets can be used for many independent analyses and are particularly interesting for the validation of potential biomarkers and multi-gene classifiers. This article presents a novel method to perform correlations between microarray gene expression data and clinico-pathol...

journal_title：BMC bioinformatics

authors： Corradi L,Mirisola V,Porro I,Torterolo L,Fato M,Romano P,Pfeffer U

更新日期：2009-10-15 00:00:00

abstract：BACKGROUND:A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For this purpose genome-wide identification of bimodally expressed genes from gene array data is relevant because distinguishability of high and lo...

journal_title：BMC bioinformatics

authors： Hellwig B,Hengstler JG,Schmidt M,Gehrmann MC,Schormann W,Rahnenführer J

更新日期：2010-05-25 00:00:00

abstract：BACKGROUND:Wise et al. introduced a rank-based statistical technique for meta-analysis of genome scans, the Genome Scan Meta-Analysis (GSMA) method. Levinson et al. recently described two generalizations of the GSMA statistic: (i) a weighted version of the GSMA statistic, so that different studies could be ascribed dif...

journal_title：BMC bioinformatics

authors： Koziol JA,Feng AC

更新日期：2005-02-17 00:00:00

abstract：BACKGROUND:Genome-wide transcriptional profiling of patient blood samples offers a powerful tool to investigate underlying disease mechanisms and personalized treatment decisions. Most studies are based on analysis of total peripheral blood mononuclear cells (PBMCs), a mixed population. In this case, accuracy is inhere...

journal_title：BMC bioinformatics

authors： Bolen CR,Uduman M,Kleinstein SH

更新日期：2011-06-24 00:00:00

abstract：BACKGROUND:Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of histological subtypes and the prediction of clinical outcomes. However, the im...

journal_title：BMC bioinformatics

authors： Liu K,He L,Liu Z,Xu J,Liu Y,Kuang Q,Wen Z,Li M

更新日期：2017-12-28 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

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:Comparison of metabolic networks is typically performed based on the organisms' enzyme contents. This approach disregards functional replacements as well as orthologies that are misannotated. Direct comparison of the structure of metabolic networks can circumvent these problems. RESULTS:Metabolic networks a...

journal_title：BMC bioinformatics

authors： Forst CV,Flamm C,Hofacker IL,Stadler PF

更新日期：2006-02-14 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: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:The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been made to analyze the data sets in order to understand protein activities. Considering that the basic units of protein interactions are domain i...

journal_title：BMC bioinformatics

authors： Lee H,Deng M,Sun F,Chen T

更新日期：2006-05-25 00:00:00

abstract：BACKGROUND:Enhancers are stretches of DNA (100-1000 bp) that play a major role in development gene expression, evolution and disease. It has been recently shown that in high-level eukaryotes enhancers rarely work alone, instead they collaborate by forming clusters of cis-regulatory modules (CRMs). Although the binding ...

journal_title：BMC bioinformatics

authors： Comin M,Antonello M

更新日期：2016-03-18 00:00:00

abstract：BACKGROUND:An important question in the analysis of biochemical data is that of identifying subsets of molecular variables that may jointly influence a biological response. Statistical variable selection methods have been widely used for this purpose. In many settings, it may be important to incorporate ancillary biolo...

journal_title：BMC bioinformatics

authors： Hill SM,Neve RM,Bayani N,Kuo WL,Ziyad S,Spellman PT,Gray JW,Mukherjee S

更新日期：2012-05-11 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:Isocitrate Dehydrogenases (IDHs) are important enzymes present in all living cells. Three subfamilies of functionally dimeric IDHs (subfamilies I, II, III) are known. Subfamily I are well-studied bacterial IDHs, like that of Escherischia coli. Subfamily II has predominantly eukaryotic members, but it also ha...

journal_title：BMC bioinformatics

authors： Vinekar R,Verma C,Ghosh I

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Next Generation Sequencing techniques are producing enormous amounts of biological sequence data and analysis becomes a major computational problem. Currently, most analysis, especially the identification of conserved regions, relies heavily on Multiple Sequence Alignment and its various heuristics such as p...

journal_title：BMC bioinformatics

authors： Nagar A,Hahsler M

更新日期：2013-01-01 00:00:00