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 increased. To satisfy this, large-scale projects were launched to discover biological insights into cancer, providing a collection of the dataset. However, public cancer data, especially for certain cancer types, is still limited to be used in research. Several simulation tools for producing epigenetic dataset have been introduced in order to alleviate the issue, still, to date, generation for user-specified cancer type dataset has not been proposed. RESULTS:In this paper, we present methCancer-gen, a tool for generating DNA methylome dataset considering type for cancer. Employing conditional variational autoencoder, a neural network-based generative model, it estimates the conditional distribution with latent variables and data, and generates samples for specified cancer type. CONCLUSIONS:To evaluate the simulation performance of methCancer-gen for the user-specified cancer type, our proposed model was compared to a benchmark method and it could successfully reproduce cancer type-wise data with high accuracy helping to alleviate the lack of condition-specific data issue. methCancer-gen is publicly available at https://github.com/cbi-bioinfo/methCancer-gen.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Choi J,Chae H

doi

10.1186/s12859-020-3516-8

subject

Has Abstract

pub_date

2020-05-11 00:00:00

pages

181

issue

1

issn

1471-2105

pii

10.1186/s12859-020-3516-8

journal_volume

21

pub_type

杂志文章
  • Use of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shock.

    abstract:BACKGROUND:Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environmental cues is crucial in explaining how cells cope with stress. For example, adaptation of yeast to heat shock involves a characteristic profil...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-184

    authors: Vilaprinyo E,Alves R,Sorribas A

    更新日期:2006-04-03 00:00:00

  • Detecting disease-associated genotype patterns.

    abstract:BACKGROUND:In addition to single-locus (main) effects of disease variants, there is a growing consensus that gene-gene and gene-environment interactions may play important roles in disease etiology. However, for the very large numbers of genetic markers currently in use, it has proven difficult to develop suitable and ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S1-S75

    authors: Long Q,Zhang Q,Ott J

    更新日期:2009-01-30 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

  • A global optimization algorithm for protein surface alignment.

    abstract:BACKGROUND:A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-488

    authors: Bertolazzi P,Guerra C,Liuzzi G

    更新日期:2010-09-29 00:00:00

  • Visualization methods for statistical analysis of microarray clusters.

    abstract:BACKGROUND:The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gol...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-115

    authors: Hibbs MA,Dirksen NC,Li K,Troyanskaya OG

    更新日期:2005-05-12 00:00:00

  • ElliPro: a new structure-based tool for the prediction of antibody epitopes.

    abstract:BACKGROUND:Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between antigenicity, solvent accessibility, and flexibility in proteins was demonstrated. Subsequently, Thornton and colleagues proposed a method for ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-514

    authors: Ponomarenko J,Bui HH,Li W,Fusseder N,Bourne PE,Sette A,Peters B

    更新日期:2008-12-02 00:00:00

  • Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model.

    abstract:BACKGROUND:Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is generally achieved by extracting concepts overrepresented in the gene lists. This analysis often depends on manual annotation of genes based on c...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-272

    authors: He X,Sarma MS,Ling X,Chee B,Zhai C,Schatz B

    更新日期:2010-05-20 00:00:00

  • Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation.

    abstract::Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measures of their expression dynamics. In this paper we apply a correlation based approach to network reconstruction to three datasets of time se...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S1-S16

    authors: Neretti N,Remondini D,Tatar M,Sedivy JM,Pierini M,Mazzatti D,Powell J,Franceschi C,Castellani GC

    更新日期:2007-03-08 00:00:00

  • Bayesian neural networks for detecting epistasis in genetic association studies.

    abstract:BACKGROUND:Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene-gene interactions. RESULTS:A non-parametric Bayesian ap...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0368-0

    authors: Beam AL,Motsinger-Reif A,Doyle J

    更新日期:2014-11-21 00:00:00

  • Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks.

    abstract:BACKGROUND:To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to calculate the distance between the resulting values of each measure. Conventional phylogenetic analysis based on genomic sequences provides inf...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-284

    authors: Oh SJ,Joung JG,Chang JH,Zhang BT

    更新日期:2006-06-06 00:00:00

  • Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0519-y

    authors: Zhang X,Gao L,Liu ZP,Chen L

    更新日期:2015-03-18 00:00:00

  • A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks.

    abstract:BACKGROUND:Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TFs) and their target genes, with a method able to handle both the high number...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3510-1

    authors: Sauta E,Demartini A,Vitali F,Riva A,Bellazzi R

    更新日期:2020-05-29 00:00:00

  • Evaluating eukaryotic secreted protein prediction.

    abstract:BACKGROUND:Improvements in protein sequence annotation and an increase in the number of annotated protein databases has fueled development of an increasing number of software tools to predict secreted proteins. Six software programs capable of high throughput and employing a wide range of prediction methods, SignalP 3....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-256

    authors: Klee EW,Ellis LB

    更新日期:2005-10-14 00:00:00

  • Extended analysis of benchmark datasets for Agilent two-color microarrays.

    abstract:BACKGROUND:As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on five microarray platforms. For most platforms, several different methods of data processing were considered. However, there was no similar consid...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-371

    authors: Kerr KF

    更新日期:2007-10-03 00:00:00

  • LAVA: an open-source approach to designing LAMP (loop-mediated isothermal amplification) DNA signatures.

    abstract:BACKGROUND:We developed an extendable open-source Loop-mediated isothermal AMPlification (LAMP) signature design program called LAVA (LAMP Assay Versatile Analysis). LAVA was created in response to limitations of existing LAMP signature programs. RESULTS:LAVA identifies combinations of six primer regions for basic LAM...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-240

    authors: Torres C,Vitalis EA,Baker BR,Gardner SN,Torres MW,Dzenitis JM

    更新日期:2011-06-16 00:00:00

  • JNets: exploring networks by integrating annotation.

    abstract:BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-95

    authors: Macpherson JI,Pinney JW,Robertson DL

    更新日期:2009-03-26 00:00:00

  • Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation.

    abstract:BACKGROUND:High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpretation of these experiments problematic. Here, we propose and evaluate an approach to find functional associations between large numbers of g...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-14

    authors: Jelier R,Jenster G,Dorssers LC,Wouters BJ,Hendriksen PJ,Mons B,Delwel R,Kors JA

    更新日期:2007-01-18 00:00:00

  • GenNon-h: generating multiple sequence alignments on nonhomogeneous phylogenetic trees.

    abstract:BACKGROUND:A number of software packages are available to generate DNA multiple sequence alignments (MSAs) evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-216

    authors: Kedzierska AM,Casanellas M

    更新日期:2012-08-28 00:00:00

  • Modeling lymphocyte homing and encounters in lymph nodes.

    abstract:BACKGROUND:The efficiency of lymph nodes depends on tissue structure and organization, which allow the coordination of lymphocyte traffic. Despite their essential role, our understanding of lymph node specific mechanisms is still incomplete and currently a topic of intense research. RESULTS:In this paper, we present a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-387

    authors: Baldazzi V,Paci P,Bernaschi M,Castiglione F

    更新日期:2009-11-25 00:00:00

  • Molecular evolution of dihydrouridine synthases.

    abstract:BACKGROUND:Dihydrouridine (D) is a modified base found in conserved positions in the D-loop of tRNA in Bacteria, Eukaryota, and some Archaea. Despite the abundant occurrence of D, little is known about its biochemical roles in mediating tRNA function. It is assumed that D may destabilize the structure of tRNA and thus ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-153

    authors: Kasprzak JM,Czerwoniec A,Bujnicki JM

    更新日期:2012-06-28 00:00:00

  • GObar: a gene ontology based analysis and visualization tool for gene sets.

    abstract:BACKGROUND:Microarray experiments, as well as other genomic analyses, often result in large gene sets containing up to several hundred genes. The biological significance of such sets of genes is, usually, not readily apparent. Identification of the functions of the genes in the set can help highlight features of intere...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-189

    authors: Lee JS,Katari G,Sachidanandam R

    更新日期:2005-07-25 00:00:00

  • GSV: a web-based genome synteny viewer for customized data.

    abstract:BACKGROUND:The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-316

    authors: Revanna KV,Chiu CC,Bierschank E,Dong Q

    更新日期:2011-08-02 00:00:00

  • Interaction site prediction by structural similarity to neighboring clusters in protein-protein interaction networks.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S1-S39

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

    更新日期:2011-02-15 00:00:00

  • The EnzymeTracker: an open-source laboratory information management system for sample tracking.

    abstract:BACKGROUND:In many laboratories, researchers store experimental data on their own workstation using spreadsheets. However, this approach poses a number of problems, ranging from sharing issues to inefficient data-mining. Standard spreadsheets are also error-prone, as data do not undergo any validation process. To overc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-15

    authors: Triplet T,Butler G

    更新日期:2012-01-26 00:00:00

  • Mapping transcription mechanisms from multimodal genomic data.

    abstract:BACKGROUND:Identification of expression quantitative trait loci (eQTLs) is an emerging area in genomic study. The task requires an integrated analysis of genome-wide single nucleotide polymorphism (SNP) data and gene expression data, raising a new computational challenge due to the tremendous size of data. RESULTS:We ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S9-S2

    authors: Chang HH,McGeachie M,Alterovitz G,Ramoni MF

    更新日期:2010-10-28 00:00:00

  • PubFocus: semantic MEDLINE/PubMed citations analytics through integration of controlled biomedical dictionaries and ranking algorithm.

    abstract:BACKGROUND:Understanding research activity within any given biomedical field is important. Search outputs generated by MEDLINE/PubMed are not well classified and require lengthy manual citation analysis. Automation of citation analytics can be very useful and timesaving for both novices and experts. RESULTS:PubFocus w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-424

    authors: Plikus MV,Zhang Z,Chuong CM

    更新日期:2006-10-02 00:00:00

  • Optimal neighborhood indexing for protein similarity search.

    abstract:BACKGROUND:Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data flow involves heuristics with large seed indexes. In order to speed up this technique, the index can be enhanced by storing additional informa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-534

    authors: Peterlongo P,Noé L,Lavenier D,Nguyen VH,Kucherov G,Giraud M

    更新日期:2008-12-16 00:00:00

  • MergeAlign: improving multiple sequence alignment performance by dynamic reconstruction of consensus multiple sequence alignments.

    abstract:BACKGROUND:The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research. We present a novel method called MergeAlign which constructs consensus MSAs fro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-117

    authors: Collingridge PW,Kelly S

    更新日期:2012-05-30 00:00:00

  • Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.

    abstract:BACKGROUND:The landscape of biological and biomedical research is being changed rapidly with the invention of microarrays which enables simultaneous view on the transcription levels of a huge number of genes across different experimental conditions or time points. Using microarray data sets, clustering algorithms have ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-27

    authors: Maulik U,Mukhopadhyay A,Bandyopadhyay S

    更新日期:2009-01-20 00:00:00

  • TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas.

    abstract:BACKGROUND:Data extraction and integration methods are becoming essential to effectively access and take advantage of the huge amounts of heterogeneous genomics and clinical data increasingly available. In this work, we focus on The Cancer Genome Atlas, a comprehensive archive of tumoral data containing the results of ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1419-5

    authors: Cumbo F,Fiscon G,Ceri S,Masseroli M,Weitschek E

    更新日期:2017-01-03 00:00:00