Abstract:
BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the two technologies. Integration data across these two platforms has the potential to improve the power and reliability of DEG detection. METHODS:We propose a rank-based semi-parametric model to determine DEGs using information across different sources and apply it to the integration of RNA-seq and microarray data. By incorporating both the significance of differential expression and the consistency across platforms, our method effectively detects DEGs with moderate but consistent signals. We demonstrate the effectiveness of our method using simulation studies, MAQC/SEQC data and a synthetic microRNA dataset. CONCLUSIONS:Our integration method is not only robust to noise and heterogeneity in the data, but also adaptive to the structure of data. In our simulations and real data studies, our approach shows a higher discriminate power and identifies more biologically relevant DEGs than eBayes, DEseq and some commonly used meta-analysis methods.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Lyu Y,Li Qdoi
10.1186/s12859-015-0847-ysubject
Has Abstractpub_date
2016-01-11 00:00:00pages
5issn
1471-2105pii
10.1186/s12859-015-0847-yjournal_volume
17 Suppl 1pub_type
杂志文章abstract:BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-018-2524-4
更新日期:2018-12-31 00:00:00
abstract::After publication of this supplement article. ...
journal_title:BMC bioinformatics
pub_type: 已发布勘误
doi:10.1186/s12859-019-2776-7
更新日期:2019-05-15 00:00:00
abstract:BACKGROUND:Multiple sequence alignment (MSA) is a fundamental analysis method used in bioinformatics and many comparative genomic applications. Prior MSA acceleration attempts with reconfigurable computing have only addressed the first stage of progressive alignment and consequently exhibit performance limitations acco...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-12-466
更新日期:2011-12-07 00:00:00
abstract:BACKGROUND:We introduce the decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information (ProCKSI). ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. It employs the Universal Simila...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-8-416
更新日期:2007-10-26 00:00:00
abstract:BACKGROUND:Pseudouridylation is the most prevalent type of posttranscriptional modification in various stable RNAs of all organisms, which significantly affects many cellular processes that are regulated by RNA. Thus, accurate identification of pseudouridine (Ψ) sites in RNA will be of great benefit for understanding t...
journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2018-08-29 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
pub_type: 杂志文章
doi:10.1186/s12859-020-3427-8
更新日期:2020-03-20 00:00:00
abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...
journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2020-09-30 00:00:00
abstract:BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-9-433
更新日期:2008-10-14 00:00:00
abstract:BACKGROUND:Replication timing experiments that use label incorporation and high throughput sequencing produce peaked data similar to ChIP-Seq experiments. However, the differences in experimental design, coverage density, and possible results make traditional ChIP-Seq analysis methods inappropriate for use with replica...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-017-1774-x
更新日期:2017-08-07 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
pub_type: 杂志文章
doi:10.1186/s12859-018-2469-7
更新日期:2018-12-28 00:00:00
abstract:BACKGROUND:Relative isotope abundance quantification, which can be used for peptide identification and differential peptide quantification, plays an important role in liquid chromatography-mass spectrometry (LC-MS)-based proteomics. However, several major issues exist in the relative isotopic quantification of peptides...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-12-74
更新日期:2011-03-15 00:00:00
abstract:BACKGROUND:Metabolome analysis with GC/MS has meanwhile been established as one of the "omics" techniques. Compound identification is done by comparison of the MS data with compound libraries. Mass spectral libraries in the field of metabolomics ought to connect the relevant mass traces of the metabolites to other rele...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-10-229
更新日期:2009-07-22 00:00:00
abstract:BACKGROUND:Due to recent technology advancements, disease related knowledge is growing rapidly. It becomes nontrivial to go through all published literature to identify associations between human diseases and genetic, environmental, and life style factors, disease symptoms, and treatment strategies. Here we report DLAD...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-018-2463-0
更新日期:2018-12-28 00:00:00
abstract:BACKGROUND:Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the sequencing of small non-coding regulatory RNAs and the identification of the genomic locales from which they originate. Currently, there is a pauci...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-11-93
更新日期:2010-02-18 00:00:00
abstract:BACKGROUND:Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks of genes, proteins, small molecules, or other objects of study can be represented as graphs of nodes (vertices) and interactions (edges) that ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-6-260
更新日期:2005-10-19 00:00:00
abstract:BACKGROUND:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-016-1142-2
更新日期:2016-06-30 00:00:00
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
pub_type: 杂志文章
doi:10.1186/1471-2105-7-241
更新日期:2006-05-04 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
pub_type: 杂志文章
doi:10.1186/1471-2105-15-5
更新日期:2014-01-09 00:00:00
abstract:BACKGROUND:Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical e...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-017-1805-7
更新日期:2017-10-03 00:00:00
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journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-8-429
更新日期:2007-11-06 00:00:00
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journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-12-96
更新日期:2011-04-13 00:00:00
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journal_title:BMC bioinformatics
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journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2018-06-18 00:00:00
abstract:BACKGROUND:Recent studies have shown that N6-methyladenosine (m6A) plays a critical role in numbers of biological processes and complex human diseases. However, the regulatory mechanisms of most methylation sites remain uncharted. Thus, in-depth study of the epi-transcriptomic patterns of m6A may provide insights into ...
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pub_type: 杂志文章
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更新日期:2020-10-09 00:00:00
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journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-11-S1-S19
更新日期:2010-01-18 00:00:00
abstract:BACKGROUND:Guide-trees are used as part of an essential heuristic to enable the calculation of multiple sequence alignments. They have been the focus of much method development but there has been little effort at determining systematically, which guide-trees, if any, give the best alignments. Some guide-tree constructi...
journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2014-10-04 00:00:00
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journal_title:BMC bioinformatics
pub_type: 杂志文章
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更新日期:2019-12-24 00:00:00
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pub_type: 杂志文章
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更新日期:2021-01-06 00:00:00
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abstract:BACKGROUND:Molecular biology (MB) is a dynamic research domain that benefits greatly from the use of modern software technology in preparing experiments, analyzing acquired data, and even performing "in-silico" analyses. As ever new findings change the face of this domain, software for MB has to be sufficiently flexibl...
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更新日期:2009-03-27 00:00:00