Repliscan: a tool for classifying replication timing regions.

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 replication timing. RESULTS:To accurately detect and classify regions of replication across the genome, we present Repliscan. Repliscan robustly normalizes, automatically removes outlying and uninformative data points, and classifies Repli-seq signals into discrete combinations of replication signatures. The quality control steps and self-fitting methods make Repliscan generally applicable and more robust than previous methods that classify regions based on thresholds. CONCLUSIONS:Repliscan is simple and effective to use on organisms with different genome sizes. Even with analysis window sizes as small as 1 kilobase, reliable profiles can be generated with as little as 2.4x coverage.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Zynda GJ,Song J,Concia L,Wear EE,Hanley-Bowdoin L,Thompson WF,Vaughn MW

doi

10.1186/s12859-017-1774-x

subject

Has Abstract

pub_date

2017-08-07 00:00:00

pages

362

issue

1

issn

1471-2105

pii

10.1186/s12859-017-1774-x

journal_volume

18

pub_type

杂志文章
  • Functional clustering of yeast proteins from the protein-protein interaction network.

    abstract:BACKGROUND:The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins. RESULTS:In the present work, individual cluste...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-355

    authors: Sen TZ,Kloczkowski A,Jernigan RL

    更新日期:2006-07-24 00:00:00

  • Logical development of the cell ontology.

    abstract:BACKGROUND:The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingly difficult to use and maintain. By making the information in the ontology computable, we can use automated reasoners to detect errors and ass...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-6

    authors: Meehan TF,Masci AM,Abdulla A,Cowell LG,Blake JA,Mungall CJ,Diehl AD

    更新日期:2011-01-05 00:00:00

  • Pre-processing Agilent microarray data.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-142

    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

  • Fast and robust group-wise eQTL mapping using sparse graphical models.

    abstract:BACKGROUND:Genome-wide expression quantitative trait loci (eQTL) studies have emerged as a powerful tool to understand the genetic basis of gene expression and complex traits. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression tra...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0421-z

    authors: Cheng W,Shi Y,Zhang X,Wang W

    更新日期:2015-01-16 00:00:00

  • SDAR: a practical tool for graphical analysis of two-dimensional data.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-201

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

    更新日期:2012-08-14 00:00:00

  • A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment.

    abstract:BACKGROUND:Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the study in question. Several schemes have been developed to characterize such information in scientific journal articles. For example, a simple ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-69

    authors: Guo Y,Korhonen A,Liakata M,Silins I,Hogberg J,Stenius U

    更新日期:2011-03-08 00:00:00

  • Genome Projector: zoomable genome map with multiple views.

    abstract:BACKGROUND:Molecular biology data exist on diverse scales, from the level of molecules to -omics. At the same time, the data at each scale can be categorised into multiple layers, such as the genome, transcriptome, proteome, metabolome, and biochemical pathways. Due to the highly multi-layer and multi-dimensional natur...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-31

    authors: Arakawa K,Tamaki S,Kono N,Kido N,Ikegami K,Ogawa R,Tomita M

    更新日期:2009-01-23 00:00:00

  • PreBIND and Textomy--mining the biomedical literature for protein-protein interactions using a support vector machine.

    abstract:BACKGROUND:The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND) seeks to capture these data in a machine-rea...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-4-11

    authors: Donaldson I,Martin J,de Bruijn B,Wolting C,Lay V,Tuekam B,Zhang S,Baskin B,Bader GD,Michalickova K,Pawson T,Hogue CW

    更新日期:2003-03-27 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

  • PDB-UF: database of predicted enzymatic functions for unannotated protein structures from structural genomics.

    abstract:BACKGROUND:The number of protein structures from structural genomics centers dramatically increases in the Protein Data Bank (PDB). Many of these structures are functionally unannotated because they have no sequence similarity to proteins of known function. However, it is possible to successfully infer function using o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-53

    authors: von Grotthuss M,Plewczynski D,Ginalski K,Rychlewski L,Shakhnovich EI

    更新日期:2006-02-06 00:00:00

  • Identification of germ cell-specific genes in mammalian meiotic prophase.

    abstract:BACKGROUND:Mammalian germ cells undergo meiosis to produce sperm or eggs, haploid cells that are primed to meet and propagate life. Meiosis is initiated by retinoic acid and meiotic prophase is the first and most complex stage of meiosis when homologous chromosomes pair to exchange genetic information. Errors in meiosi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-72

    authors: Li Y,Ray D,Ye P

    更新日期:2013-02-27 00:00:00

  • Use of a multi-way method to analyze the amino acid composition of a conserved group of orthologous proteins in prokaryotes.

    abstract:BACKGROUND:Amino acids in proteins are not used equally. Some of the differences in the amino acid composition of proteins are between species (mainly due to nucleotide composition and lifestyle) and some are between proteins from the same species (related to protein function, expression or subcellular localization, fo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-257

    authors: Pasamontes A,Garcia-Vallve S

    更新日期:2006-05-18 00:00:00

  • Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks.

    abstract:BACKGROUND:Numerical solutions of the chemical master equation (CME) are important for understanding the stochasticity of biochemical systems. However, solving CMEs is a formidable task. This task is complicated due to the nonlinear nature of the reactions and the size of the networks which result in different realizat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03668-2

    authors: Kosarwal R,Kulasiri D,Samarasinghe S

    更新日期:2020-11-11 00:00:00

  • Scipio: using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related species.

    abstract:BACKGROUND:For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is available, precise annotation of genes is lacking behind. Finding the corresponding gene of a given protein sequence by means of conventional too...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-278

    authors: Keller O,Odronitz F,Stanke M,Kollmar M,Waack S

    更新日期:2008-06-13 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

  • A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data.

    abstract:BACKGROUND:Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-480

    authors: Corradi L,Fato M,Porro I,Scaglione S,Torterolo L

    更新日期:2008-11-13 00:00:00

  • MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data.

    abstract:BACKGROUND:Recent advances in global genomic profiling methodologies have enabled multi-dimensional characterization of biological systems. Complete analysis of these genomic profiles require an in depth look at parallel profiles of segmental DNA copy number status, DNA methylation state, single nucleotide polymorphism...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-243

    authors: Chi B,deLeeuw RJ,Coe BP,Ng RT,MacAulay C,Lam WL

    更新日期:2008-05-20 00:00:00

  • Machine learning for discovering missing or wrong protein function annotations : A comparison using updated benchmark datasets.

    abstract:BACKGROUND:A massive amount of proteomic data is generated on a daily basis, nonetheless annotating all sequences is costly and often unfeasible. As a countermeasure, machine learning methods have been used to automatically annotate new protein functions. More specifically, many studies have investigated hierarchical m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1186/s12859-019-3060-6

    authors: Nakano FK,Lietaert M,Vens C

    更新日期:2019-09-23 00:00:00

  • QPath: a method for querying pathways in a protein-protein interaction network.

    abstract:BACKGROUND:Sequence comparison is one of the most prominent tools in biological research, and is instrumental in studying gene function and evolution. The rapid development of high-throughput technologies for measuring protein interactions calls for extending this fundamental operation to the level of pathways in prote...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-199

    authors: Shlomi T,Segal D,Ruppin E,Sharan R

    更新日期:2006-04-10 00:00:00

  • pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties.

    abstract:BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-152

    authors: Sarda D,Chua GH,Li KB,Krishnan A

    更新日期:2005-06-17 00:00:00

  • Connectivity independent protein-structure alignment: a hierarchical approach.

    abstract:BACKGROUND:Protein-structure alignment is a fundamental tool to study protein function, evolution and model building. In the last decade several methods for structure alignment were introduced, but most of them ignore that structurally similar proteins can share the same spatial arrangement of secondary structure eleme...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-510

    authors: Kolbeck B,May P,Schmidt-Goenner T,Steinke T,Knapp EW

    更新日期:2006-11-21 00:00:00

  • Disease candidate gene identification and prioritization using protein interaction networks.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-73

    authors: Chen J,Aronow BJ,Jegga AG

    更新日期:2009-02-27 00:00:00

  • In silico modelling of hormone response elements.

    abstract:BACKGROUND:An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of fun...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S4-S27

    authors: Stepanova M,Lin F,Lin VC

    更新日期:2006-12-12 00:00:00

  • Assessing stationary distributions derived from chromatin contact maps.

    abstract:BACKGROUND:The spatial configuration of chromosomes is essential to various cellular processes, notably gene regulation, while architecture related alterations, such as translocations and gene fusions, are often cancer drivers. Thus, eliciting chromatin conformation is important, yet challenging due to compaction, dyna...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3424-y

    authors: Segal MR,Fletez-Brant K

    更新日期:2020-02-24 00:00:00

  • Developing optimal input design strategies in cancer systems biology with applications to microfluidic device engineering.

    abstract:BACKGROUND:Mechanistic models are becoming more and more popular in Systems Biology; identification and control of models underlying biochemical pathways of interest in oncology is a primary goal in this field. Unfortunately the scarce availability of data still limits our understanding of the intrinsic characteristics...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S12-S4

    authors: Menolascina F,Bellomo D,Maiwald T,Bevilacqua V,Ciminelli C,Paradiso A,Tommasi S

    更新日期:2009-10-15 00:00:00

  • Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour 'rules'.

    abstract:BACKGROUND:Metabolomics experiments using Mass Spectrometry (MS) technology measure the mass to charge ratio (m/z) and intensity of ionised molecules in crude extracts of complex biological samples to generate high dimensional metabolite 'fingerprint' or metabolite 'profile' data. High resolution MS instruments perform...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-227

    authors: Draper J,Enot DP,Parker D,Beckmann M,Snowdon S,Lin W,Zubair H

    更新日期:2009-07-21 00:00:00

  • Inferring topology from clustering coefficients in protein-protein interaction networks.

    abstract:BACKGROUND:Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete interactome. These partial networks often show a scale-free behavior with only a few proteins having many and the majority having only a few conne...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-519

    authors: Friedel CC,Zimmer R

    更新日期:2006-11-30 00:00:00

  • Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data.

    abstract:BACKGROUND:The wide use of high-throughput DNA microarray technology provide an increasingly detailed view of human transcriptome from hundreds to thousands of genes. Although biomedical researchers typically design microarray experiments to explore specific biological contexts, the relationships between genes are hard...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S5-S7

    authors: Kong W,Mou X,Hu X

    更新日期:2011-01-01 00:00:00

  • Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads.

    abstract:BACKGROUND:Adapter trimming is a prerequisite step for analyzing next-generation sequencing (NGS) data when the reads are longer than the target DNA/RNA fragments. Although typically used in small RNA sequencing, adapter trimming is also used widely in other applications, such as genome DNA sequencing and transcriptome...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-182

    authors: Jiang H,Lei R,Ding SW,Zhu S

    更新日期:2014-06-12 00:00:00

  • SplicerAV: a tool for mining microarray expression data for changes in RNA processing.

    abstract:BACKGROUND:Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray platforms. This substantial repository has been used extensively to characterize changes in gene expression between biological samples, but h...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-108

    authors: Robinson TJ,Dinan MA,Dewhirst M,Garcia-Blanco MA,Pearson JL

    更新日期:2010-02-25 00:00:00