Application of the common base method to regression and analysis of covariance (ANCOVA) in qPCR experiments and subsequent relative expression calculation.

abstract：BACKGROUND:Detecting local correlations in expression between neighboring genes along the genome has proved to be an effective strategy to identify possible causes of transcriptional deregulation in cancer. It has been successfully used to illustrate the role of mechanisms such as copy number variation (CNV) or epigene...

journal_title：BMC bioinformatics

authors： Delatola EI,Lebarbier E,Mary-Huard T,Radvanyi F,Robin S,Wong J

更新日期：2017-07-11 00:00:00

abstract：BACKGROUND:Fluorescent reporter genes have become widely used for monitoring gene expression in living cells. When a microbial strain carrying a reporter gene is grown in a microplate reader, the fluorescence and the absorbance (optical density) of the culture can be automatically measured every few minutes in a highly...

journal_title：BMC bioinformatics

authors： Martin Y,Page M,Blanchet C,de Jong H

更新日期：2019-06-11 00:00:00

abstract：BACKGROUND:The detection of bias due to cryptic population structure is an important step in the evaluation of findings of genetic association studies. The standard method of measuring this bias in a genetic association study is to compare the observed median association test statistic to the expected median test stati...

journal_title：BMC bioinformatics

authors： Pirie A,Wood A,Lush M,Tyrer J,Pharoah PD

更新日期：2015-02-20 00:00:00

abstract：BACKGROUND:The identification of a consensus RNA motif often consists in finding a conserved secondary structure with minimum free energy in an ensemble of aligned sequences. However, an alignment is often difficult to obtain without prior structural information. Thus the need for tools to automate this process. RESUL...

journal_title：BMC bioinformatics

authors： Anwar M,Nguyen T,Turcotte M

更新日期：2006-05-05 00:00:00

abstract：BACKGROUND:Recently, revealing the function of proteins with protein-protein interaction (PPI) networks is regarded as one of important issues in bioinformatics. With the development of experimental methods such as the yeast two-hybrid method, the data of protein interaction have been increasing extremely. Many databas...

journal_title：BMC bioinformatics

authors： Monji H,Koizumi S,Ozaki T,Ohkawa T

更新日期：2011-02-15 00:00:00

abstract：BACKGROUNDS:Next-Generation Sequencing (NGS) is now widely used in biomedical research for various applications. Processing of NGS data requires multiple programs and customization of the processing pipelines according to the data platforms. However, rapid progress of the NGS applications and processing methods urgentl...

journal_title：BMC bioinformatics

authors： Joo T,Choi JH,Lee JH,Park SE,Jeon Y,Jung SH,Woo HG

更新日期：2019-02-20 00:00:00

abstract：BACKGROUND:Heritability of a phenotypic or molecular trait measures the proportion of variance that is attributable to genotypic variance. It is an important concept in breeding and genetics. Few methods are available for calculating heritability for traits derived from high-throughput sequencing. RESULTS:We propose s...

journal_title：BMC bioinformatics

authors： Rudra P,Shi WJ,Vestal B,Russell PH,Odell A,Dowell RD,Radcliffe RA,Saba LM,Kechris K

更新日期：2017-03-02 00:00:00

abstract：BACKGROUND:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

journal_title：BMC bioinformatics

authors： Lu G,Zhang S,Fang X

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Progress in genome sequencing is proceeding at an exponential pace, and several new algal genomes are becoming available every year. One of the challenges facing the community is the association of protein sequences encoded in the genomes with biological function. While most genome assembly projects generate...

journal_title：BMC bioinformatics

authors： Lopez D,Casero D,Cokus SJ,Merchant SS,Pellegrini M

更新日期：2011-07-12 00:00:00

abstract：BACKGROUND:High-throughput sequencing can identify numerous potential genomic targets for microbial strain typing, but identification of the most informative combinations requires the use of computational screening tools. This paper describes novel software-- Automated Selection of Typing Target Subsets (AuSeTTS)--that...

journal_title：BMC bioinformatics

authors： O'Sullivan MV,Sintchenko V,Gilbert GL

更新日期：2013-05-01 00:00:00

abstract：BACKGROUND:Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach that is widely known, but which has never been investigated before:...

journal_title：BMC bioinformatics

authors： Shida K

更新日期：2006-11-04 00:00:00

abstract：BACKGROUND:N-linked protein glycosylation plays an important role in various biological processes, including protein folding and trafficking, and cell adhesion and signaling. The acquisition of a novel N-glycosylation site may have significant effect on protein structure and function, and therefore, on the phenotype. ...

journal_title：BMC bioinformatics

authors： Kim DS,Hahn Y

更新日期：2015-01-28 00:00:00

abstract：BACKGROUND:Most known eukaryotic genomes contain mobile copied elements called transposable elements. In some species, these elements account for the majority of the genome sequence. They have been subject to many mutations and other genomic events (copies, deletions, captures) during transposition. The identification ...

journal_title：BMC bioinformatics

authors： Tempel S,Rousseau C,Tahi F,Nicolas J

更新日期：2010-09-22 00:00:00

abstract：BACKGROUND:Human triosephosphate isomerase (HsTIM) deficiency is a genetic disease caused often by the pathogenic mutation E104D. This mutation, located at the side of an abnormally large cluster of water in the inter-subunit interface, reduces the thermostability of the enzyme. Why and how these water molecules are di...

journal_title：BMC bioinformatics

authors： Li Z,He Y,Liu Q,Zhao L,Wong L,Kwoh CK,Nguyen H,Li J

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interactions and pathogenicity occur through PPIs. Phytopathogenic bacteria infect hosts through attachment to host tissue, enzyme secretion, exopolysa...

journal_title：BMC bioinformatics

authors： Kim JG,Park D,Kim BC,Cho SW,Kim YT,Park YJ,Cho HJ,Park H,Kim KB,Yoon KO,Park SJ,Lee BM,Bhak J

更新日期：2008-01-24 00:00:00

abstract：BACKGROUND:SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations foun...

journal_title：BMC bioinformatics

authors： Gessler DD,Schiltz GS,May GD,Avraham S,Town CD,Grant D,Nelson RT

更新日期：2009-09-23 00:00:00

abstract：BACKGROUND:DNA methylation of CpG dinucleotides is an essential epigenetic modification that plays a key role in transcription. Widely used DNA enrichment-based methods offer high coverage for measuring methylated CpG dinucleotides, with the lowest cost per CpG covered genome-wide. However, these methods measure the DN...

journal_title：BMC bioinformatics

authors： Xu J,Liu S,Yin P,Bulun S,Dai Y

更新日期：2018-12-22 00:00:00

abstract：BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

journal_title：BMC bioinformatics

authors： Meinicke P,Tech M,Morgenstern B,Merkl R

更新日期：2004-10-28 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:In mass spectrometry (MS) based proteomic data analysis, peak detection is an essential step for subsequent analysis. Recently, there has been significant progress in the development of various peak detection algorithms. However, neither a comprehensive survey nor an experimental comparison of these algorith...

journal_title：BMC bioinformatics

authors： Yang C,He Z,Yu W

更新日期：2009-01-06 00:00:00

abstract：BACKGROUND:Systems biology modeling from microarray data requires the most contemporary structural and functional array annotation. However, microarray annotations, especially for non-commercial, non-traditional biomedical model organisms, are often dated. In addition, most microarray analysis tools do not readily acce...

journal_title：BMC bioinformatics

authors： van den Berg BH,Konieczka JH,McCarthy FM,Burgess SC

更新日期：2009-01-23 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

abstract：BACKGROUND:Mechanistic models are becoming more and more popular in Systems Biology; identification and control of models underlying biochemical pathways of interest in oncology is a primary goal in this field. Unfortunately the scarce availability of data still limits our understanding of the intrinsic characteristics...

journal_title：BMC bioinformatics

authors： Menolascina F,Bellomo D,Maiwald T,Bevilacqua V,Ciminelli C,Paradiso A,Tommasi S

更新日期：2009-10-15 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:Transposable elements (TE) are mobile genetic entities present in nearly all genomes. Previous work has shown that TEs tend to have a different nucleotide composition than the host genes, either considering codon usage bias or dinucleotide frequencies. We show here how these compositional differences can be ...

journal_title：BMC bioinformatics

authors： Andrieu O,Fiston AS,Anxolabéhère D,Quesneville H

更新日期：2004-07-13 00:00:00

abstract：BACKGROUND:While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step towards more accurate text-mining lies in the ability to identify and characterize text that satisfies various types of information needs. We rep...

journal_title：BMC bioinformatics

authors： Wilbur WJ,Rzhetsky A,Shatkay H

更新日期：2006-07-25 00:00:00

abstract：BACKGROUND:Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction of ncRNAs increases with the pace of sequencing technology. Existing tools are based on various approaches and techniques, but none of them p...

journal_title：BMC bioinformatics

authors： Raasch P,Schmitz U,Patenge N,Vera J,Kreikemeyer B,Wolkenhauer O

更新日期：2010-09-29 00:00:00

abstract：BACKGROUND:Processing and analysis of DNA sequences obtained from next-generation sequencing (NGS) face some difficulties in terms of the correct prediction of DNA sequencing outcomes without the implementation of bioinformatics approaches. However, algorithms based on NGS perform inefficiently due to the generation of...

journal_title：BMC bioinformatics

authors： Shityakov S,Bencurova E,Förster C,Dandekar T

更新日期：2020-04-03 00:00:00

abstract：BACKGROUND:Differences in cell-type composition across subjects and conditions often carry biological significance. Recent advancements in single cell sequencing technologies enable cell-types to be identified at the single cell level, and as a result, cell-type composition of tissues can now be studied in exquisite de...

journal_title：BMC bioinformatics

authors： Cao Y,Lin Y,Ormerod JT,Yang P,Yang JYH,Lo KK

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:The application of high-throughput sequencing in a broad range of quantitative genomic assays (e.g., DNA-seq, ChIP-seq) has created a high demand for the analysis of large-scale read-count data. Typically, the genome is divided into tiling windows and windowed read-count data is generated for the entire geno...

journal_title：BMC bioinformatics

authors： Wang W,Sun W,Wang W,Szatkiewicz J

更新日期：2018-03-01 00:00:00