Knowledge-based variable selection for learning rules from proteomic data.

abstract：BACKGROUND:A wide variety of short-read alignment programmes have been published recently to tackle the problem of mapping millions of short reads to a reference genome, focusing on different aspects of the procedure such as time and memory efficiency, sensitivity, and accuracy. These tools allow for a small number of ...

journal_title：BMC bioinformatics

authors： Alachiotis N,Berger S,Flouri T,Pissis SP,Stamatakis A

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:The median of k≥3 genomes was originally defined to find a compromise genome indicative of a common ancestor. However, in gene order comparisons, the usual definitions based on minimizing the sum of distances to the input genomes lead to degenerate medians reflecting only one of the input genomes. "Near-medi...

journal_title：BMC bioinformatics

authors： Larlee CA,Brandts A,Sankoff D

更新日期：2016-12-15 00:00:00

abstract：BACKGROUND:Profile-based comparison of multiple sequence alignments is a powerful methodology for the detection remote protein sequence similarity, which is essential for the inference and analysis of protein structure, function, and evolution. Accurate estimation of statistical significance of detected profile similar...

journal_title：BMC bioinformatics

authors： Sadreyev RI,Wang Y,Grishin NV

更新日期：2009-12-04 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:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

journal_title：BMC bioinformatics

authors： Rosenberg MS

更新日期：2005-11-23 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are time-consuming and expensive, it is important to develop automated computational methods to better predict PPIs. Various machine learning methods have been proposed...

journal_title：BMC bioinformatics

authors： Yang F,Fan K,Song D,Lin H

更新日期：2020-07-21 00:00:00

abstract：BACKGROUND:Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the MVs are not treated,...

journal_title：BMC bioinformatics

authors： de Brevern AG,Hazout S,Malpertuy A

更新日期：2004-08-23 00:00:00

abstract：BACKGROUND:The classification of cancer subtypes is of great importance to cancer disease diagnosis and therapy. Many supervised learning approaches have been applied to cancer subtype classification in the past few years, especially of deep learning based approaches. Recently, the deep forest model has been proposed a...

journal_title：BMC bioinformatics

authors： Guo Y,Liu S,Li Z,Shang X

更新日期：2018-04-11 00:00:00

abstract：BACKGROUND:Genes encoding transcription factors that constitute gene-regulatory networks and maternal factors accumulating in egg cytoplasm are two classes of essential genes that play crucial roles in developmental processes. Transcription factors control the expression of their downstream target genes by interacting ...

journal_title：BMC bioinformatics

authors： Wang K,Nishida H

更新日期：2015-04-10 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:Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene-gene interactions. RESULTS:A non-parametric Bayesian ap...

journal_title：BMC bioinformatics

authors： Beam AL,Motsinger-Reif A,Doyle J

更新日期：2014-11-21 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: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:Genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) have been successful in identifying loci contributing genetic effects to a wide range of complex human diseases and quantitative traits. The traditional approach to GWAS analysis is to consider each phenotype separately, despite...

journal_title：BMC bioinformatics

authors： Mägi R,Suleimanov YV,Clarke GM,Kaakinen M,Fischer K,Prokopenko I,Morris AP

更新日期：2017-01-11 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：:Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Clinical and Translational Sciences (CCTS) at the University of Texas Health Science Center at Houston (UTHSC-H)...

journal_title：BMC bioinformatics

authors： Mirhaji P,Zhu M,Vagnoni M,Bernstam EV,Zhang J,Smith JW

更新日期：2009-02-05 00:00:00

abstract：BACKGROUND:REX1 and REX2 are protein components of the RNA editing complex (the editosome) and function as exouridylylases. The exact roles of REX1 and REX2 in the editosome are unclear and the consequences of the presence of two related proteins are not fully understood. Here, a variety of computational studies were p...

journal_title：BMC bioinformatics

authors： Mian IS,Worthey EA,Salavati R

更新日期：2006-06-16 00:00:00

abstract：BACKGROUND:The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common technique for surveying gene expression based on DNA sequencing. As it is not clear how increased sequencin...

journal_title：BMC bioinformatics

authors： Cai G,Li H,Lu Y,Huang X,Lee J,Müller P,Ji Y,Liang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Although metatranscriptomics-the study of diverse microbial population activity based on RNA-seq data-is rapidly growing in popularity, there are limited options for biologists to analyze this type of data. Current approaches for processing metatranscriptomes rely on restricted databases and a dedicated comp...

journal_title：BMC bioinformatics

authors： Westreich ST,Korf I,Mills DA,Lemay DG

更新日期：2016-09-29 00:00:00

abstract：BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

journal_title：BMC bioinformatics

authors： Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Chemical named entities represent an important facet of biomedical text. RESULTS:We have developed a system to use character-based n-grams, Maximum Entropy Markov Models and rescoring to recognise chemical names and other such entities, and to make confidence estimates for the extracted entities. An adjusta...

journal_title：BMC bioinformatics

authors： Corbett P,Copestake A

更新日期：2008-11-19 00:00:00

abstract：BACKGROUND:In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly used to infer the relative amounts of the test and reference sample DNA levels. This ratio may be influenced by systematic measurement effect...

journal_title：BMC bioinformatics

authors： Khojasteh M,Lam WL,Ward RK,MacAulay C

更新日期：2005-11-18 00:00:00

abstract：BACKGROUND:Protein-protein docking, which aims to predict the structure of a protein-protein complex from its unbound components, remains an unresolved challenge in structural bioinformatics. An important step is the ranking of docked poses using a scoring function, for which many methods have been developed. There is ...

journal_title：BMC bioinformatics

authors： Moal IH,Torchala M,Bates PA,Fernández-Recio J

更新日期：2013-10-01 00:00:00

abstract：BACKGROUND:The explosive growth of biological data provides opportunities for new statistical and comparative analyses of large information sets, such as alignments comprising tens of thousands of sequences. In such studies, sequence annotations frequently play an essential role, and reliable results depend on metadata...

journal_title：BMC bioinformatics

authors： Miotto O,Tan TW,Brusic V

更新日期：2008-01-01 00:00:00

abstract：BACKGROUND:Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to the correct state. These algorithms provide only a single answer and in practice do not produce good results. RESULTS:We explore an alternative...

journal_title：BMC bioinformatics

authors： Brown DG,Golod D

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Quadruplexes are specific structure motifs occurring, e.g., in telomeres and transcriptional regulatory regions. Recent discoveries confirmed their importance in biomedicine and led to an intensified examination of their properties. So far, the study of these motifs has focused mainly on the sequence and the...

journal_title：BMC bioinformatics

authors： Zok T,Popenda M,Szachniuk M

更新日期：2020-01-31 00:00:00

abstract：BACKGROUND:The analysis of mass spectra suggests that the existence of derivative peaks is strongly dependent on the intensity of the primary peaks. Peak selection from tandem mass spectrum is used to filter out noise and contaminant peaks. It is widely accepted that a valid primary peak tends to have high intensity an...

journal_title：BMC bioinformatics

authors： Zhang S,Wang Y,Bu D,Zhang H,Sun S

更新日期：2011-08-17 00:00:00

abstract：BACKGROUND:An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, independent benchmarking of these algorithms is rarely performed as is now common practice for protein-folding, gene-finding and multiple-sequence-...

journal_title：BMC bioinformatics

authors： Gardner PP,Giegerich R

更新日期：2004-09-30 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:Genomes are subjected to rearrangements that change the orientation and ordering of genes during evolution. The most common rearrangements that occur in uni-chromosomal genomes are inversions (or reversals) to adapt to the changing environment. Since genome rearrangements are rarer than point mutations, gene...

journal_title：BMC bioinformatics

authors： Noureen M,Tada I,Kawashima T,Arita M

更新日期：2019-12-27 00:00:00