GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA).

abstract：BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

journal_title：BMC bioinformatics

authors： Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

更新日期：2020-03-20 00:00:00

abstract：BACKGROUND:Variation in DNA copy number, due to gains and losses of chromosome segments, is common. A first step for analyzing DNA copy number data is to identify amplified or deleted regions in individuals. To locate such regions, we propose a circular binary segmentation procedure, which is based on a sequence of nes...

journal_title：BMC bioinformatics

authors： Yang TY

更新日期：2012-10-30 00:00:00

abstract：BACKGROUND:When constructing new biomarker or gene signature scores for time-to-event outcomes, the underlying aims are to develop a discrimination model that helps to predict whether patients have a poor or good prognosis and to identify the most influential variables for this task. In practice, this is often done fit...

journal_title：BMC bioinformatics

authors： Mayr A,Hofner B,Schmid M

更新日期：2016-07-22 00:00:00

abstract：BACKGROUND:Ribosomal 16S DNA sequences are an essential tool for identifying and classifying microbes. High-throughput DNA sequencing now makes it economically possible to produce very large datasets of 16S rDNA sequences in short time periods, necessitating new computer tools for analyses. Here we describe FastGroup, ...

journal_title：BMC bioinformatics

authors： Seguritan V,Rohwer F

更新日期：2001-01-01 00:00:00

abstract：BACKGROUND:The identification of prognostic genes that can distinguish the prognostic risks of cancer patients remains a significant challenge. Previous works have proven that functional gene sets were more reliable for this task than the gene signature. However, few works have considered the cross-talk among functiona...

journal_title：BMC bioinformatics

authors： Zhou XH,Chu XY,Xue G,Xiong JH,Zhang HY

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the t...

journal_title：BMC bioinformatics

authors： Lyu Y,Li Q

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phase...

journal_title：BMC bioinformatics

authors： Verdi KK,Ellis HJ,Gryk MR

更新日期：2007-01-30 00:00:00

abstract：BACKGROUND:Amplified fragment length polymorphism (AFLP) is a PCR-based technique that involves restriction of genomic DNA followed by ligation of adaptors to the fragments generated and selective PCR amplification of a subset of these fragments. The amplified fragments are separated on a sequencing gel and visualized ...

journal_title：BMC bioinformatics

authors： Hong Y,Chuah A

更新日期：2003-02-25 00:00:00

abstract：BACKGROUND:Protein solvent accessibility prediction is a pivotal intermediate step towards modeling protein tertiary structures directly from one-dimensional sequences. It also plays an important part in identifying protein folds and domains. Although some methods have been presented to the protein solvent accessibilit...

journal_title：BMC bioinformatics

authors： Fan C,Liu D,Huang R,Chen Z,Deng L

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large fraction of zero value...

journal_title：BMC bioinformatics

authors： Li Y,Fan TWM,Lane AN,Kang WY,Arnold SM,Stromberg AJ,Wang C,Chen L

更新日期：2019-10-17 00:00:00

abstract：BACKGROUND:Genome scale data on protein interactions are generally represented as large networks, or graphs, where hundreds or thousands of proteins are linked to one another. Since proteins tend to function in groups, or complexes, an important goal has been to reliably identify protein complexes from these graphs. Th...

journal_title：BMC bioinformatics

authors： Vlasblom J,Wodak SJ

更新日期：2009-03-30 00:00:00

abstract：BACKGROUND:Discovering patterns from gene expression levels is regarded as a classification problem when tissue classes of the samples are given and solved as a discrete-data problem by discretizing the expression levels of each gene into intervals maximizing the interdependence between that gene and the class labels. ...

journal_title：BMC bioinformatics

authors： Wu GP,Chan KC,Wong AK

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other fields which rely on high-resolution profiling of complex chemical mixtures generate datasets which contain millions of detector intensity readings, each uniquely addressed along dimensions of time (e.g., retention time of chemic...

journal_title：BMC bioinformatics

authors： Chae M,Shmookler Reis RJ,Thaden JJ

更新日期：2008-08-12 00:00:00

abstract：BACKGROUND:Testing the dependence of two variables is one of the fundamental tasks in statistics. In this work, we developed an open-source R package (knnAUC) for detecting nonlinear dependence between one continuous variable X and one binary dependent variables Y (0 or 1). RESULTS:We addressed this problem by using k...

journal_title：BMC bioinformatics

authors： Li Y,Liu X,Ma Y,Wang Y,Zhou W,Hao M,Yuan Z,Liu J,Xiong M,Shugart YY,Wang J,Jin L

更新日期：2018-11-22 00:00:00

abstract：BACKGROUND:A recently proposed method for estimating qPCR amplification efficiency E analyzes fluorescence intensity ratios from pairs of points deemed to lie in the exponential growth region on the amplification curves for all reactions in a dilution series. This method suffers from a serious problem: The resulting ra...

journal_title：BMC bioinformatics

authors： Tellinghuisen J

更新日期：2020-07-08 00:00:00

abstract：BACKGROUND:Using phylogenomic analysis tools for tracking pathogens has become standard practice in academia, public health agencies, and large industries. Using the same raw read genomic data as input, there are several different approaches being used to infer phylogenetic tree. These include many different SNP pipeli...

journal_title：BMC bioinformatics

authors： McTavish EJ,Pettengill J,Davis S,Rand H,Strain E,Allard M,Timme RE

更新日期：2017-03-20 00:00:00

abstract：BACKGROUND:Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carboh...

journal_title：BMC bioinformatics

authors： Ranzinger R,Herget S,Wetter T,von der Lieth CW

更新日期：2008-09-19 00:00:00

abstract：BACKGROUND:Due to recent technology advancements, disease related knowledge is growing rapidly. It becomes nontrivial to go through all published literature to identify associations between human diseases and genetic, environmental, and life style factors, disease symptoms, and treatment strategies. Here we report DLAD...

journal_title：BMC bioinformatics

authors： Shen J,Vasaikar S,Zhang B

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:Mass spectrometry based peptide mass fingerprints (PMFs) offer a fast, efficient, and robust method for protein identification. A protein is digested (usually by trypsin) and its mass spectrum is compared to simulated spectra for protein sequences in a database. However, existing tools for analyzing PMFs oft...

journal_title：BMC bioinformatics

authors： Kaltenbach HM,Wilke A,Böcker S

更新日期：2007-03-26 00:00:00

abstract：BACKGROUND:The imputation of missing values is necessary for the efficient use of DNA microarray data, because many clustering algorithms and some statistical analysis require a complete data set. A few imputation methods for DNA microarray data have been introduced, but the efficiency of the methods was low and the va...

journal_title：BMC bioinformatics

authors： Kim KY,Kim BJ,Yi GS

更新日期：2004-10-26 00:00:00

abstract：BACKGROUND:Tumors have been hypothesized to be the result of a mixture of oncogenic events, some of which will be reflected in the gene expression of the tumor. Based on this hypothesis a variety of data-driven methods have been employed to decompose tumor expression profiles into component profiles, hypothetically lin...

journal_title：BMC bioinformatics

authors： van Vliet MH,Wessels LF,Reinders MJ

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Typical evolutionary events like recombination, hybridization or gene transfer make necessary the use of phylogenetic networks to properly depict the evolution of DNA and protein sequences. Although several theoretical classes have been proposed to characterize these networks, they make stringent assumptions...

journal_title：BMC bioinformatics

authors： Arenas M,Patricio M,Posada D,Valiente G

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:Alignment-free methods for comparing protein sequences have proved to be viable alternatives to approaches that first rely on an alignment of the sequences to be compared. Much work however need to be done before those methods provide reliable fold recognition for proteins whose sequences share little simila...

journal_title：BMC bioinformatics

authors： Nojoomi S,Koehl P

更新日期：2017-08-25 00:00:00

abstract：BACKGROUND:Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously reported function annotation methods are of limited utility for fungal protein annotation. They are often trained only to one species, are not a...

journal_title：BMC bioinformatics

authors： Jung J,Yi G,Sukno SA,Thon MR

更新日期：2010-04-29 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:The rapid pace of bioscience research makes it very challenging to track relevant articles in one's area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year. Thus it is not surprising to se...

journal_title：BMC bioinformatics

authors： Srinivasan P,Zhang XN,Bouten R,Chang C

更新日期：2015-06-20 00:00:00

abstract：BACKGROUND:Identifying protein complexes from protein-protein interaction (PPI) network is one of the most important tasks in proteomics. Existing computational methods try to incorporate a variety of biological evidences to enhance the quality of predicted complexes. However, it is still a challenge to integrate diffe...

journal_title：BMC bioinformatics

authors： Xu B,Li K,Zheng W,Liu X,Zhang Y,Zhao Z,He Z

更新日期：2018-12-20 00:00:00

abstract：BACKGROUND:The secondary structure of RNA molecules is intimately related to their function and often more conserved than the sequence. Hence, the important task of searching databases for RNAs requires to match sequence-structure patterns. Unfortunately, current tools for this task have, in the best case, a running ti...

journal_title：BMC bioinformatics

authors： Meyer F,Kurtz S,Backofen R,Will S,Beckstette M

更新日期：2011-05-27 00:00:00

abstract：BACKGROUND:Systematic mutagenesis studies have shown that only a few interface residues termed hot spots contribute significantly to the binding free energy of protein-protein interactions. Therefore, hot spots prediction becomes increasingly important for well understanding the essence of proteins interactions and hel...

journal_title：BMC bioinformatics

authors： Chen R,Chen W,Yang S,Wu D,Wang Y,Tian Y,Shi Y

更新日期：2011-07-29 00:00:00

abstract：BACKGROUND:One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-induced duplex destabiliz...

journal_title：BMC bioinformatics

authors： Bland C,Newsome AS,Markovets AA

更新日期：2010-10-07 00:00:00