Evaluation of absolute quantitation by nonlinear regression in probe-based real-time PCR.

abstract：BACKGROUND:Large-scale genomic studies based on transcriptome technologies provide clusters of genes that need to be functionally annotated. The Gene Ontology (GO) implements a controlled vocabulary organised into three hierarchies: cellular components, molecular functions and biological processes. This terminology all...

journal_title：BMC bioinformatics

authors： Aubry M,Monnier A,Chicault C,de Tayrac M,Galibert MD,Burgun A,Mosser J

更新日期：2006-05-04 00:00:00

abstract：BACKGROUND:There are many fewer genes in the human genome than there are expressed transcripts. Alternative splicing is the reason. Alternatively spliced transcripts are often specific to tissue type, developmental stage, environmental condition, or disease state. Accurate analysis of microarray expression data and des...

journal_title：BMC bioinformatics

authors： Kahn AB,Ryan MC,Liu H,Zeeberg BR,Jamison DC,Weinstein JN

更新日期：2007-03-05 00:00:00

abstract：BACKGROUND:Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there exist very few freeware tools and methods which provide automatic neuronal morphology quantification for pharmacological discovery. RESULTS:T...

journal_title：BMC bioinformatics

authors： Ho SY,Chao CY,Huang HL,Chiu TW,Charoenkwan P,Hwang E

更新日期：2011-06-08 00:00:00

abstract：BACKGROUND:The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of t...

journal_title：BMC bioinformatics

authors： Jin B,Muller B,Zhai C,Lu X

更新日期：2008-12-08 00:00:00

abstract：BACKGROUND:Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene e...

journal_title：BMC bioinformatics

authors： Müller HG,Chiou JM,Leng X

更新日期：2008-01-28 00:00:00

abstract：BACKGROUND:Numerous tools have been developed to predict the fitness effects (i.e., neutral, deleterious, or beneficial) of genetic variants on corresponding proteins. However, prediction in terms of whether a variant causes the variant bearing protein to lose the original function or gain new function is also needed f...

journal_title：BMC bioinformatics

authors： Liu M,Watson LT,Zhang L

更新日期：2015-10-30 00:00:00

abstract：BACKGROUND:Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting m...

journal_title：BMC bioinformatics

authors： Mei S,Fei W,Zhou S

更新日期：2011-02-02 00:00:00

abstract：BACKGROUND:In population genetics, simulation is a fundamental tool for analyzing how basic evolutionary forces such as natural selection, recombination, and mutation shape the genetic landscape of a population. Forward simulation represents the most powerful, but, at the same time, most compute-intensive approach for ...

journal_title：BMC bioinformatics

authors： Aberer AJ,Stamatakis A

更新日期：2013-07-09 00:00:00

abstract：BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

journal_title：BMC bioinformatics

authors： Liu M,Watson LT,Zhang L

更新日期：2014-01-09 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 molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exhaustive DNA sequence design algorithm that allows to generate sets containing a maximum number of seq...

journal_title：BMC bioinformatics

authors： Kick A,Bönsch M,Mertig M

更新日期：2012-06-20 00:00:00

abstract：BACKGROUND:Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is often employed in genome-wide investigations. A major challenge in the analysis of tiling-array data is to define regions-of-interest, i.e., conti...

journal_title：BMC bioinformatics

authors： Taskesen E,Beekman R,de Ridder J,Wouters BJ,Peeters JK,Touw IP,Reinders MJ,Delwel R

更新日期：2010-05-21 00:00:00

abstract：BACKGROUND:The scientific literature contains millions of microbial gene identifiers within the full text and tables, but these annotations rarely get incorporated into public sequence databases. We propose to utilize the Open Access (OA) subset of PubMed Central (PMC) as a gene annotation database and have developed a...

journal_title：BMC bioinformatics

authors： Stubben CJ,Challacombe JF

更新日期：2014-02-05 00:00:00

abstract：BACKGROUND:Introduction of spaced speeds opened a way of sensitivity improvement in homology search without loss of search speed. Since then, the efforts of finding optimal seed which maximizes the sensitivity have been continued today. The sensitivity of a seed is generally computed by its hit probability. However, th...

journal_title：BMC bioinformatics

authors： Chung WH,Park SB

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:Structural alignment of proteins is one of the most challenging problems in molecular biology. The tertiary structure of a protein strictly correlates with its function and computationally predicted structures are nowadays a main premise for understanding the latter. However, computationally derived 3D model...

journal_title：BMC bioinformatics

authors： Antczak M,Kasprzak M,Lukasiak P,Blazewicz J

更新日期：2016-09-17 00:00:00

abstract：BACKGROUND:In recent times, there has been an exponential rise in the number of protein structures in databases e.g. PDB. So, design of fast algorithms capable of querying such databases is becoming an increasingly important research issue. This paper reports an algorithm, motivated from spectral graph matching techniq...

journal_title：BMC bioinformatics

authors： Bhattacharya S,Bhattacharyya C,Chandra NR

更新日期：2006-12-18 00:00:00

abstract：:Selected reaction monitoring (SRM)-based proteomics approaches enable highly sensitive and reproducible assays for profiling of thousands of peptides in one experiment. The development of such assays involves the determination of retention time, detectability and fragmentation properties of peptides, followed by an op...

journal_title：BMC bioinformatics

authors： Nahnsen S,Kohlbacher O

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) are the most effective and accurate methods for solving these problems. A key step to improve the performance of the SVM-based methods is to f...

journal_title：BMC bioinformatics

authors： Liu B,Wang X,Lin L,Dong Q,Wang X

更新日期：2008-12-01 00:00:00

abstract：BACKGROUND:determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This feature can be used manually to include biological expertise, or automatically, usually by pairwise similarity searches. Multiple local similar...

journal_title：BMC bioinformatics

authors： Pitschi F,Devauchelle C,Corel E

更新日期：2010-09-02 00:00:00

abstract：BACKGROUND:An organism's protein interactome, or complete network of protein-protein interactions, defines the protein complexes that drive cellular processes. Techniques for studying protein complexes have traditionally applied targeted strategies such as yeast two-hybrid or affinity purification-mass spectrometry to ...

journal_title：BMC bioinformatics

authors： Stacey RG,Skinnider MA,Scott NE,Foster LJ

更新日期：2017-10-23 00:00:00

abstract：BACKGROUND:The detection of genomic copy number alterations (CNA) in cancer based on SNP arrays requires methods that take into account tumour specific factors such as normal cell contamination and tumour heterogeneity. A number of tools have been recently developed but their performance needs yet to be thoroughly asse...

journal_title：BMC bioinformatics

authors： Mosén-Ansorena D,Aransay AM,Rodríguez-Ezpeleta N

更新日期：2012-08-07 00:00:00

abstract：BACKGROUND:DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biomarkers. The identification of disease-specific methylation signatures ...

journal_title：BMC bioinformatics

authors： Meng H,Murrelle EL,Li G

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge. This procedure helps finding functionally related patterns to propose hypotheses for their behavior and the biological processes involved. T...

journal_title：BMC bioinformatics

authors： Milone DH,Stegmayer G,López M,Kamenetzky L,Carrari F

更新日期：2014-04-10 00:00:00

abstract：BACKGROUND:Clustering of protein sequences is of key importance in predicting the structure and function of newly sequenced proteins and is also of use for their annotation. With the advent of multiple high-throughput sequencing technologies, new protein sequences are becoming available at an extraordinary rate. The ra...

journal_title：BMC bioinformatics

authors： Abnousi A,Broschat SL,Kalyanaraman A

更新日期：2018-03-05 00:00:00

abstract：BACKGROUND:Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to quantify some of the sources of error that affect measurement of expression using Agilent arrays and to compare Agilent's Feature Extraction ...

journal_title：BMC bioinformatics

authors： Zahurak M,Parmigiani G,Yu W,Scharpf RB,Berman D,Schaeffer E,Shabbeer S,Cope L

更新日期：2007-05-01 00:00:00

abstract：BACKGROUND:The miRNAs, a class of short approximately 22-nucleotide non-coding RNAs, often act post-transcriptionally to inhibit mRNA expression. In effect, they control gene expression by targeting mRNA. They also help in carrying out normal functioning of a cell as they play an important role in various cellular proc...

journal_title：BMC bioinformatics

authors： Paul S,Maji P

更新日期：2013-09-04 00:00:00

abstract：BACKGROUND:Simulated nucleotide or amino acid sequences are frequently used to assess the performance of phylogenetic reconstruction methods. BEAST, a Bayesian statistical framework that focuses on reconstructing time-calibrated molecular evolutionary processes, supports a wide array of evolutionary models, but lacked ...

journal_title：BMC bioinformatics

authors： Bielejec F,Lemey P,Carvalho LM,Baele G,Rambaut A,Suchard MA

更新日期：2014-05-07 00:00:00

abstract：BACKGROUND:Although most of the current disease candidate gene identification and prioritization methods depend on functional annotations, the coverage of the gene functional annotations is a limiting factor. In the current study, we describe a candidate gene prioritization method that is entirely based on protein-prot...

journal_title：BMC bioinformatics

authors： Chen J,Aronow BJ,Jegga AG

更新日期：2009-02-27 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:Observed levels of gene expression strongly depend on both activity of DNA binding transcription factors (TFs) and chromatin state through different histone modifications (HMs). In order to recover the functional relationship between local chromatin state, TF binding and observed levels of gene expression, r...

journal_title：BMC bioinformatics

authors： Aflakparast M,Geeven G,de Gunst MCM

更新日期：2020-01-02 00:00:00