The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants.

abstract：BACKGROUND:High-throughput measurement of transcript intensities using Affymetrix type oligonucleotide microarrays has produced a massive quantity of data during the last decade. Different preprocessing techniques exist to convert the raw signal intensities measured by these chips into gene expression estimates. Althou...

journal_title：BMC bioinformatics

authors： Giorgi FM,Bolger AM,Lohse M,Usadel B

更新日期：2010-11-11 00:00:00

abstract：BACKGROUND:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

journal_title：BMC bioinformatics

authors： Zhang P,Cao W,Obradovic Z

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:As a consequence of the evolutionary process, data collected from related species tend to be similar. This similarity by descent can obscure subtler signals in the data such as the evidence of constraint on variation due to shared selective pressures. In comparative sequence analysis, for example, sequence s...

journal_title：BMC bioinformatics

authors： Stone EA,Sidow A

更新日期：2007-06-26 00:00:00

abstract：BACKGROUND:The process of oxidative folding combines the formation of native disulfide bond with conformational folding resulting in the native three-dimensional fold. Oxidative folding pathways can be described in terms of disulfide intermediate species (DIS) which can also be isolated and characterized. Each DIS corr...

journal_title：BMC bioinformatics

authors： Agoston V,Cemazar M,Kaján L,Pongor S

更新日期：2005-01-27 00:00:00

abstract：BACKGROUND:Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports that prokaryotic gene finder programs have problems with small genes (either over-predicting or under-predicting). Therefore the question ari...

journal_title：BMC bioinformatics

authors： Warren AS,Archuleta J,Feng WC,Setubal JC

更新日期：2010-03-15 00:00:00

abstract：BACKGROUND:Selective pressures at the DNA level shape genes into profiles consisting of patterns of rapidly evolving sites and sites withstanding change. These profiles remain detectable even when protein sequences become extensively diverged. A common task in molecular biology is to infer functional, structural or evo...

journal_title：BMC bioinformatics

authors： Ndhlovu A,Hazelhurst S,Durand PM

更新日期：2015-08-14 00:00:00

abstract：BACKGROUND:Maturation inhibitors are a new class of antiretroviral drugs. Bevirimat (BVM) was the first substance in this class of inhibitors entering clinical trials. While the inhibitory function of BVM is well established, the molecular mechanisms of action and resistance are not well understood. It is known that mu...

journal_title：BMC bioinformatics

authors： Heider D,Verheyen J,Hoffmann D

更新日期：2010-01-20 00:00:00

abstract：BACKGROUND:Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all maj...

journal_title：BMC bioinformatics

authors： Chebira A,Barbotin Y,Jackson C,Merryman T,Srinivasa G,Murphy RF,Kovacević J

更新日期：2007-06-19 00:00:00

abstract：BACKGROUND:One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used unsupervised deep learning to learn the hierarchical structure within cancer gene expression data. Deep...

journal_title：BMC bioinformatics

authors： Young JD,Cai C,Lu X

更新日期：2017-10-03 00:00:00

abstract：BACKGROUND:Computational discovery of microRNAs (miRNA) is based on pre-determined sets of features from miRNA precursors (pre-miRNA). Some feature sets are composed of sequence-structure patterns commonly found in pre-miRNAs, while others are a combination of more sophisticated RNA features. In this work, we analyze t...

journal_title：BMC bioinformatics

authors： Lopes Ide O,Schliep A,de Carvalho AC

更新日期：2014-05-02 00:00:00

abstract：BACKGROUND:Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionall...

journal_title：BMC bioinformatics

authors： Weeratunga S,Hu NJ,Simon A,Hofmann A

更新日期：2012-08-14 00:00:00

abstract：BACKGROUND:The identification of protein coding regions (exons) in DNA sequences using signal processing techniques is an important component of bioinformatics and biological signal processing. In this paper, a new method is presented for the identification of exonic regions in DNA sequences. This method is based on th...

journal_title：BMC bioinformatics

authors： Abbasi O,Rostami A,Karimian G

更新日期：2011-11-03 00:00:00

abstract：BACKGROUND:Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations based on the detection of a pattern of markers. The description of the cell populations targeted in ...

journal_title：BMC bioinformatics

authors： Overton JA,Vita R,Dunn P,Burel JG,Bukhari SAC,Cheung KH,Kleinstein SH,Diehl AD,Peters B

更新日期：2019-04-25 00:00:00

abstract：BACKGROUND:Alternative splicing is the critical process in a single gene coding, which removes introns and joins exons, and splicing branchpoints are indicators for the alternative splicing. Wet experiments have identified a great number of human splicing branchpoints, but many branchpoints are still unknown. In order ...

journal_title：BMC bioinformatics

authors： Zhang W,Zhu X,Fu Y,Tsuji J,Weng Z

更新日期：2017-12-01 00:00:00

abstract：BACKGROUND:Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variation in human populations. Array-based comparative genomic hybridization (array-CGH) and newly developed read-depth approach through ultrahigh ...

journal_title：BMC bioinformatics

authors： Zhang ZD,Gerstein MB

更新日期：2010-10-31 00:00:00

abstract：:After publication of this supplement article. ...

journal_title：BMC bioinformatics

authors： Pan B,Kusko R,Xiao W,Zheng Y,Liu Z,Xiao C,Sakkiah S,Guo W,Gong P,Zhang C,Ge W,Shi L,Tong W,Hong H

更新日期：2019-05-15 00:00:00

abstract：:Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes in biological samples. Its overall objective is to identify the form and quantity of each protein in a high-throughput manner by coupling liquid chromatography with tandem mass spectrometry. As a consequence of its high throughp...

journal_title：BMC bioinformatics

authors： Li YF,Radivojac P

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Over the last decade, next generation sequencing (NGS) has become widely available, and is now the sequencing technology of choice for most researchers. Nonetheless, NGS presents a challenge for the evolutionary biologists who wish to estimate evolutionary genetic parameters from a mixed sample of unlabelled...

journal_title：BMC bioinformatics

authors： Wu SH,Rodrigo AG

更新日期：2015-11-04 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:Schizophrenia, bipolar disorder, and major depression are devastating mental diseases, each with distinctive yet overlapping epidemiologic characteristics. Microarray and proteomics data have revealed genes which expressed abnormally in patients. Several single nucleotide polymorphisms (SNPs) and mutations a...

journal_title：BMC bioinformatics

authors： Lee SA,Tsao TT,Yang KC,Lin H,Kuo YL,Hsu CH,Lee WK,Huang KC,Kao CY

更新日期：2011-01-01 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:G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structures of GPCRs are largely unavailable; however, a large number of GPCR primary sequences are known. To facilitate the identification and charact...

journal_title：BMC bioinformatics

authors： Peng ZL,Yang JY,Chen X

更新日期：2010-08-09 00:00:00

abstract：BACKGROUND:Supervised learning and many stochastic methods for predicting protein-protein interactions require both negative and positive interactions in the training data set. Unlike positive interactions, negative interactions cannot be readily obtained from interaction data, so these must be generated. In protein-pr...

journal_title：BMC bioinformatics

authors： Kim J,Huang DS,Han K

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Expression quantitative trait loci (eQTL) mapping is often used to identify genetic loci and candidate genes correlated with traits. Although usually a group of genes affect complex traits, genes in most eQTL mapping methods are considered as independent. Recently, some eQTL mapping methods have accounted fo...

journal_title：BMC bioinformatics

authors： Wang Y,Richard R,Pan Y

更新日期：2016-12-13 00:00:00

abstract：BACKGROUND:Protein-DNA interactions are important for many cellular processes, however structural knowledge for a large fraction of known and putative complexes is still lacking. Computational docking methods aim at the prediction of complex architecture given detailed structures of its constituents. They are becoming ...

journal_title：BMC bioinformatics

authors： Setny P,Bahadur RP,Zacharias M

更新日期：2012-09-11 00:00:00

abstract：BACKGROUND:The improvements in genomics methods coupled with readily accessible high-throughput sequencing have contributed to our understanding of microbial species, metagenomes, infectious diseases and more. To maximize the impact of these genomics studies, it is important that data from biological samples will becom...

journal_title：BMC bioinformatics

authors： Quiñones M,Liou DT,Shyu C,Kim W,Vujkovic-Cvijin I,Belkaid Y,Hurt DE

更新日期：2020-09-03 00:00:00

abstract：BACKGROUND:Identifying diagnosis and prognosis biomarkers from expression profiling data is of great significance for achieving personalized medicine and designing therapeutic strategy in complex diseases. However, the reproducibility of identified biomarkers across tissues and experiments is still a challenge for this...

journal_title：BMC bioinformatics

authors： Zhang X,Gao L,Liu ZP,Chen L

更新日期：2015-03-18 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:Bovine Viral Diarrhea Virus (BVDV) infection is widespread in cattle worldwide, causing important economic losses. Pathogenesis of the disease caused by BVDV is complex, as each BVDV strain has two biotypes: non-cytopathic (ncp) and cytopathic (cp). BVDV can cause a persistent latent infection and immune sup...

journal_title：BMC bioinformatics

authors： Ammari M,McCarthy FM,Nanduri B,Pinchuk LM

更新日期：2010-10-07 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