Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks.

Abstract:

BACKGROUND:Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological functions in their network neighbouring regions. RESULTS:Here, we weighted edges of a human protein interaction network and a transcriptional regulatory network to construct an integrated network, and introduce a probabilistic model and a bipartite graph framework to exploit human co-regulated modules and uncover their specific features in packaging different biological entities (genes, protein complexes or metabolic pathways). Finally, we identified 96 human co-regulated modules based on this method, and evaluate its effectiveness by comparing it with four other methods. CONCLUSIONS:Dysfunctions in co-regulated interactions often occur in the development of cancer. Therefore, we focussed on an example co-regulated module and found that it could integrate a number of cancer-related genes. This was extended to causal dysfunctions of some complexes maintained by several physically interacting proteins, thus coordinating several metabolic pathways that directly underlie cancer.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Chen L,Wang H,Zhang L,Li W,Wang Q,Shang Y,He Y,He W,Li X,Tai J,Li X

doi

10.1186/1471-2105-11-392

subject

Has Abstract

pub_date

2010-07-22 00:00:00

pages

392

issn

1471-2105

pii

1471-2105-11-392

journal_volume

11

pub_type

杂志文章
  • CDKAM: a taxonomic classification tool using discriminative k-mers and approximate matching strategies.

    abstract:BACKGROUND:Current taxonomic classification tools use exact string matching algorithms that are effective to tackle the data from the next generation sequencing technology. However, the unique error patterns in the third generation sequencing (TGS) technologies could reduce the accuracy of these programs. RESULTS:We d...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03777-y

    authors: Bui VK,Wei C

    更新日期:2020-10-20 00:00:00

  • Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray development.

    abstract:BACKGROUND:Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic potential in different ecosystems, we need high throughput tools, such as functional microarrays, that allow the simultaneous analysis of thousands...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-478

    authors: Terrat S,Peyretaillade E,Gonçalves O,Dugat-Bony E,Gravelat F,Moné A,Biderre-Petit C,Boucher D,Troquet J,Peyret P

    更新日期:2010-09-23 00:00:00

  • The textual characteristics of traditional and Open Access scientific journals are similar.

    abstract:BACKGROUND:Recent years have seen an increased amount of natural language processing (NLP) work on full text biomedical journal publications. Much of this work is done with Open Access journal articles. Such work assumes that Open Access articles are representative of biomedical publications in general and that methods...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-183

    authors: Verspoor K,Cohen KB,Hunter L

    更新日期:2009-06-15 00:00:00

  • A simple method for assessing sample sizes in microarray experiments.

    abstract:BACKGROUND:In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS:Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various sample...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-106

    authors: Tibshirani R

    更新日期:2006-03-02 00:00:00

  • Reordering based integrative expression profiling for microarray classification.

    abstract:BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S2-S1

    authors: Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

    更新日期:2012-03-13 00:00:00

  • TMB-Hunt: an amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins.

    abstract:BACKGROUND:Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative and acid fast gram positive), mitochondria and chloroplasts. Despite recent publications describing reasonable levels of accuracy for discrimin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-56

    authors: Garrow AG,Agnew A,Westhead DR

    更新日期:2005-03-15 00:00:00

  • methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder.

    abstract:BACKGROUND:Recently, DNA methylation has drawn great attention due to its strong correlation with abnormal gene activities and informative representation of the cancer status. As a number of studies focus on DNA methylation signatures in cancer, demand for utilizing publicly available methylome dataset has been increas...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3516-8

    authors: Choi J,Chae H

    更新日期:2020-05-11 00:00:00

  • Identification of discriminative characteristics for clusters from biologic data with InforBIO software.

    abstract:BACKGROUND:There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, such as SSU rRNA gene sequences, now plays a more prominent role in microbial systematics than does phenotypic information. However, the integrat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-281

    authors: Tanaka N,Uchino M,Miyazaki S,Sugawara H

    更新日期:2007-08-02 00:00:00

  • Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies.

    abstract:BACKGROUND:This paper summarises the lessons and experiences gained from a case study of the application of semantic web technologies to the integration of data from the bacterial species Francisella tularensis novicida (Fn). Fn data sources are disparate and heterogeneous, as multiple laboratories across the world, us...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S10-S3

    authors: Anwar N,Hunt E

    更新日期:2009-10-01 00:00:00

  • Fast batch searching for protein homology based on compression and clustering.

    abstract:BACKGROUND:In bioinformatics community, many tasks associate with matching a set of protein query sequences in large sequence datasets. To conduct multiple queries in the database, a common used method is to run BLAST on each original querey or on the concatenated queries. It is inefficient since it doesn't exploit the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1938-8

    authors: Ge H,Sun L,Yu J

    更新日期:2017-11-21 00:00:00

  • Enhancing HMM-based protein profile-profile alignment with structural features and evolutionary coupling information.

    abstract:BACKGROUND:Protein sequence profile-profile alignment is an important approach to recognizing remote homologs and generating accurate pairwise alignments. It plays an important role in protein sequence database search, protein structure prediction, protein function prediction, and phylogenetic analysis. RESULTS:In thi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-252

    authors: Deng X,Cheng J

    更新日期:2014-07-25 00:00:00

  • LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting.

    abstract:BACKGROUND:A large number of experimental studies show that the mutation and regulation of long non-coding RNAs (lncRNAs) are associated with various human diseases. Accurate prediction of lncRNA-disease associations can provide a new perspective for the diagnosis and treatment of diseases. The main function of many ln...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03721-0

    authors: Zhang Y,Ye F,Xiong D,Gao X

    更新日期:2020-09-03 00:00:00

  • Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features.

    abstract:BACKGROUND:The human immunodeficiency virus type 1 (HIV-1) aspartic protease is an important enzyme owing to its imperative part in viral development and a causative agent of deadliest disease known as acquired immune deficiency syndrome (AIDS). Development of HIV-1 protease inhibitors can help understand the specifici...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1337-6

    authors: Singh O,Su EC

    更新日期:2016-12-23 00:00:00

  • MeDEStrand: an improved method to infer genome-wide absolute methylation levels from DNA enrichment data.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2574-7

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

    更新日期:2018-12-22 00:00:00

  • A semi-parametric statistical model for integrating gene expression profiles across different platforms.

    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 t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0847-y

    authors: Lyu Y,Li Q

    更新日期:2016-01-11 00:00:00

  • DNLC: differential network local consistency analysis.

    abstract:BACKGROUND:The biological network is highly dynamic. Functional relations between genes can be activated or deactivated depending on the biological conditions. On the genome-scale network, subnetworks that gain or lose local expression consistency may shed light on the regulatory mechanisms related to the changing biol...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3046-4

    authors: Lu J,Lu Y,Ding Y,Xiao Q,Liu L,Cai Q,Kong Y,Bai Y,Yu T

    更新日期:2019-12-24 00:00:00

  • ORFer--retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files.

    abstract:BACKGROUND:Functional genomics involves the parallel experimentation with large sets of proteins. This requires management of large sets of open reading frames as a prerequisite of the cloning and recombinant expression of these proteins. RESULTS:A Java program was developed for retrieval of protein and nucleic acid s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-3-40

    authors: Büssow K,Hoffmann S,Sievert V

    更新日期:2002-12-19 00:00:00

  • CNN-based ranking for biomedical entity normalization.

    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

    authors: Li H,Chen Q,Tang B,Wang X,Xu H,Wang B,Huang D

    更新日期:2017-10-03 00:00:00

  • Systematic exploration of guide-tree topology effects for small protein alignments.

    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

    doi:10.1186/1471-2105-15-338

    authors: Sievers F,Hughes GM,Higgins DG

    更新日期:2014-10-04 00:00:00

  • PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences.

    abstract:BACKGROUND:MicroRNAs (miRNAs) are a kind of small noncoding RNA molecules that are direct posttranscriptional regulations of mRNA targets. Studies have indicated that miRNAs play key roles in complex diseases by taking part in many biological processes, such as cell growth, cell death and so on. Therefore, in order to ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3426-9

    authors: Yan C,Wu FX,Wang J,Duan G

    更新日期:2020-03-18 00:00:00

  • NPBSS: a new PacBio sequencing simulator for generating the continuous long reads with an empirical model.

    abstract:BACKGROUND:PacBio sequencing platform offers longer read lengths than the second-generation sequencing technologies. It has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. Due to its extremely wide range of application areas, fast sequencing simulation syste...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2208-0

    authors: Wei ZG,Zhang SW

    更新日期:2018-05-22 00:00:00

  • GraphCrunch: a tool for large network analyses.

    abstract:BACKGROUND:The recent explosion in biological and other real-world network data has created the need for improved tools for large network analyses. In addition to well established global network properties, several new mathematical techniques for analyzing local structural properties of large networks have been develop...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-70

    authors: Milenković T,Lai J,Przulj N

    更新日期:2008-01-30 00:00:00

  • HMMvar-func: a new method for predicting the functional outcome of genetic variants.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0781-z

    authors: Liu M,Watson LT,Zhang L

    更新日期:2015-10-30 00:00:00

  • LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.

    abstract:BACKGROUND:Cancer is a complex disease which is characterized by the accumulation of genetic alterations during the patient's lifetime. With the development of the next-generation sequencing technology, multiple omics data, such as cancer genomic, epigenomic and transcriptomic data etc., can be measured from each indiv...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1332-y

    authors: Wei PJ,Zhang D,Xia J,Zheng CH

    更新日期:2016-12-23 00:00:00

  • Quartet decomposition server: a platform for analyzing phylogenetic trees.

    abstract:BACKGROUND:The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-123

    authors: Mao F,Williams D,Zhaxybayeva O,Poptsova M,Lapierre P,Gogarten JP,Xu Y

    更新日期:2012-06-07 00:00:00

  • Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms.

    abstract:BACKGROUND:Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic sc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S4-S14

    authors: Falda M,Toppo S,Pescarolo A,Lavezzo E,Di Camillo B,Facchinetti A,Cilia E,Velasco R,Fontana P

    更新日期:2012-03-28 00:00:00

  • Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data.

    abstract::Transcript quantification is a long-standing problem in genomics and estimating the relative abundance of alternatively-spliced isoforms from the same transcript is an important special case. Both problems have recently been illuminated by high-throughput RNA sequencing experiments which are quickly generating large a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S6-S11

    authors: Kakaradov B,Xiong HY,Lee LJ,Jojic N,Frey BJ

    更新日期:2012-04-19 00:00:00

  • AntiBP2: improved version of antibacterial peptide prediction.

    abstract:BACKGROUND:Antibacterial peptides are one of the effecter molecules of innate immune system. Over the last few decades several antibacterial peptides have successfully approved as drug by FDA, which has prompted an interest in these antibacterial peptides. In our recent study we analyzed 999 antibacterial peptides, whi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S1-S19

    authors: Lata S,Mishra NK,Raghava GP

    更新日期:2010-01-18 00:00:00

  • Inferring the role of transcription factors in regulatory networks.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-228

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

    更新日期:2008-05-06 00:00:00

  • Efficient inference of homologs in large eukaryotic pan-proteomes.

    abstract:BACKGROUND:Identification of homologous genes is fundamental to comparative genomics, functional genomics and phylogenomics. Extensive public homology databases are of great value for investigating homology but need to be continually updated to incorporate new sequences. As new sequences are rapidly being generated, th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2362-4

    authors: Sheikhizadeh Anari S,de Ridder D,Schranz ME,Smit S

    更新日期:2018-09-26 00:00:00