COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project.

abstract：BACKGROUND:New web-based technologies provide an excellent opportunity for sharing and accessing information and using web as a platform for interaction and collaboration. Although several specialized tools are available for analyzing DNA sequence information, conventional web-based tools have not been utilized for bio...

journal_title：BMC bioinformatics

authors： Hajibabaei M,Singer GA

更新日期：2009-11-10 00:00:00

abstract：BACKGROUND:The Codon Adaptation Index (CAI) is a measure of the synonymous codon usage bias for a DNA or RNA sequence. It quantifies the similarity between the synonymous codon usage of a gene and the synonymous codon frequency of a reference set. Extreme values in the nucleotide or in the amino acid composition have a...

journal_title：BMC bioinformatics

authors： Puigbò P,Bravo IG,Garcia-Vallvé S

更新日期：2008-01-29 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:RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence o...

journal_title：BMC bioinformatics

authors： Li B,Dewey CN

更新日期：2011-08-04 00:00:00

abstract：BACKGROUND:Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved acc...

journal_title：BMC bioinformatics

authors： Kuksa P,Huang PH,Pavlovic V

更新日期：2009-04-29 00:00:00

abstract：BACKGROUND:The uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of the available information. Computational methods for the prioritization of candidate genes can h...

journal_title：BMC bioinformatics

authors： Zampieri G,Tran DV,Donini M,Navarin N,Aiolli F,Sperduti A,Valle G

更新日期：2018-01-25 00:00:00

abstract：BACKGROUND:For the development of genome assembly tools, some comprehensive and efficiently computable validation measures are required to assess the quality of the assembly. The mostly used N50 measure summarizes the assembly results by the length of the scaffold (or contig) overlapping the midpoint of the length-orde...

journal_title：BMC bioinformatics

authors： Mäkinen V,Salmela L,Ylinen J

更新日期：2012-10-03 00:00:00

abstract：BACKGROUND:Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to the high number of possible discriminatory genetic networks involved. In this re...

journal_title：BMC bioinformatics

authors： Cernea A,Fernández-Martínez JL,deAndrés-Galiana EJ,Fernández-Ovies FJ,Alvarez-Machancoses O,Fernández-Muñiz Z,Saligan LN,Sonis ST

更新日期：2020-03-11 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:Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved in the evolution of ...

journal_title：BMC bioinformatics

authors： Spirito G,Mangoni D,Sanges R,Gustincich S

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:Substitution matrices are key parameters for the alignment of two protein sequences, and consequently for most comparative genomics studies. The composition of biological sequences can vary importantly between species and groups of species, and classical matrices such as those in the BLOSUM series fail to ac...

journal_title：BMC bioinformatics

authors： Lemaitre C,Barré A,Citti C,Tardy F,Thiaucourt F,Sirand-Pugnet P,Thébault P

更新日期：2011-11-24 00:00:00

abstract：:DNA methylation exhibits different patterns in different cancers. DNA methylation rates at different genomic loci appear to be highly correlated in some samples but not in others. We call such phenomena conditional concordant relationships (CCRs). In this study, we explored DNA methylation patterns in 12 common cancer...

journal_title：BMC bioinformatics

authors： Qiu P,Zhang L

更新日期：2012-01-01 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:A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to mental diseases in personal gen...

journal_title：BMC bioinformatics

authors： Khan A,Liu Q,Wang K

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:Identifying similarities between patterns of differential gene expression provides an opportunity to identify similarities between the experimental and biological conditions that give rise to these gene expression alterations. The growing volume of gene expression data in open data repositories such as the N...

journal_title：BMC bioinformatics

authors： Gower AC,Spira A,Lenburg ME

更新日期：2011-09-27 00:00:00

abstract：BACKGROUND:Several large-scale gene co-expression networks have been constructed successfully for predicting gene functional modules and cis-regulatory elements in Arabidopsis (Arabidopsis thaliana). However, these networks are usually constructed and analyzed in an ad hoc manner. In this study, we propose a completely...

journal_title：BMC bioinformatics

authors： Ruan J,Perez J,Hernandez B,Lei C,Sunter G,Sponsel VM

更新日期：2011-11-24 00:00:00

abstract：BACKGROUND:Sequence comparison is one of the most prominent tools in biological research, and is instrumental in studying gene function and evolution. The rapid development of high-throughput technologies for measuring protein interactions calls for extending this fundamental operation to the level of pathways in prote...

journal_title：BMC bioinformatics

authors： Shlomi T,Segal D,Ruppin E,Sharan R

更新日期：2006-04-10 00:00:00

abstract：BACKGROUND:We carried out an analysis of intron length conservation across a diverse group of nineteen mammalian species. Motivated by recent research suggesting a role for time delays associated with intron transcription in gene expression oscillations required for early embryonic patterning, we searched for examples ...

journal_title：BMC bioinformatics

authors： Seoighe C,Korir PK

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete interactome. These partial networks often show a scale-free behavior with only a few proteins having many and the majority having only a few conne...

journal_title：BMC bioinformatics

authors： Friedel CC,Zimmer R

更新日期：2006-11-30 00:00:00

abstract：BACKGROUND:Recent technological advances in DNA sequencing and genotyping have led to the accumulation of a remarkable quantity of data on genetic polymorphisms. However, the development of new statistical and computational tools for effective processing of these data has not been equally as fast. In particular, Machin...

journal_title：BMC bioinformatics

authors： Lagani V,Montesanto A,Di Cianni F,Moreno V,Landi S,Conforti D,Rose G,Passarino G

更新日期：2009-06-16 00:00:00

abstract：BACKGROUND:Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple organisms up to higher eukaryotes. Admittedly, a key ingredient in developing a reconstruction method is its ability to integrate heterogeneo...

journal_title：BMC bioinformatics

authors： Veber P,Guziolowski C,Le Borgne M,Radulescu O,Siegel A

更新日期：2008-05-06 00:00:00

abstract：BACKGROUND:Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods have motivated the development of computational methods for predicting PPIs. As protein interactions generally occur via domains instead of the ...

journal_title：BMC bioinformatics

authors： González AJ,Liao L

更新日期：2010-10-29 00:00:00

abstract：BACKGROUND:Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. RESULTS:In this paper, we accelerate MEME algorithm targeted on Intel Many Integrated Core (MIC) Architectur...

journal_title：BMC bioinformatics

authors： Peng S,Cheng M,Huang K,Cui Y,Zhang Z,Guo R,Zhang X,Yang S,Liao X,Lu Y,Zou Q,Shi B

更新日期：2018-08-13 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play crucial roles in the execution of various cellular processes and form the basis of biological mechanisms. Although large amount of PPIs data for different species has been generated by high-throughput experimental techniques, current PPI pairs obtained with experiment...

journal_title：BMC bioinformatics

authors： You ZH,Lei YK,Zhu L,Xia J,Wang B

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental conditions has been dependent upon the expert opinions of well-trained biologist...

journal_title：BMC bioinformatics

authors： Yin Z,Zhou X,Bakal C,Li F,Sun Y,Perrimon N,Wong ST

更新日期：2008-06-05 00:00:00

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: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

abstract：BACKGROUND:Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer. This algorithm is the basis for claims of 100% sensitivity and specificity in two related publicly available datasets. To date, no detailed ...

journal_title：BMC bioinformatics

authors： Jeffries NO

更新日期：2004-11-19 00:00:00

abstract：BACKGROUND:Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed genes exhibit a power-law distribution with an exponent close to -1 (i...

journal_title：BMC bioinformatics

authors： Lu T,Costello CM,Croucher PJ,Häsler R,Deuschl G,Schreiber S

更新日期：2005-02-23 00:00:00

abstract：BACKGROUND:The NTF2-like superfamily is a versatile group of protein domains sharing a common fold. The sequences of these domains are very diverse and they share no common sequence motif. These domains serve a range of different functions within the proteins in which they are found, including both catalytic and non-ca...

journal_title：BMC bioinformatics

authors： Eberhardt RY,Chang Y,Bateman A,Murzin AG,Axelrod HL,Hwang WC,Aravind L

更新日期：2013-11-19 00:00:00