A platform for processing expression of short time series (PESTS).

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

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

更新日期：2006-02-06 00:00:00

abstract：BACKGROUND:Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, which presents challenge...

journal_title：BMC bioinformatics

authors： Min EJ,Long Q

更新日期：2020-04-15 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are small ~22 nucleotide non-coding RNAs that function as post-transcriptional regulators of messenger RNA (mRNA) through base-pairing to 6-8 nucleotide long target sites, usually located within the mRNA 3' untranslated region. A common approach to validate and probe microRNA-mRNA interact...

journal_title：BMC bioinformatics

authors： Ryan BC,Werner TS,Howard PL,Chow RL

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:DNA copy number variation (CNV) has been recognized as an important source of genetic variation. Array comparative genomic hybridization (aCGH) is commonly used for CNV detection, but the microarray platform has a number of inherent limitations. RESULTS:Here, we describe a method to detect copy number varia...

journal_title：BMC bioinformatics

authors： Xie C,Tammi MT

更新日期：2009-03-06 00:00:00

abstract：BACKGROUND:Protein sequence motifs are by definition short fragments of conserved amino acids, often associated with a specific function. Accordingly protein sequence profiles derived from multiple sequence alignments provide an alternative description of functional motifs characterizing families of related sequences. ...

journal_title：BMC bioinformatics

authors： Hummel J,Keshvari N,Weckwerth W,Selbig J

更新日期：2005-06-29 00:00:00

abstract：BACKGROUND:Elevated sequencing error rates are the most predominant obstacle in single-nucleotide polymorphism (SNP) detection, which is a major goal in the bulk of current studies using next-generation sequencing (NGS). Beyond routinely handled generic sources of errors, certain base calling errors relate to specific ...

journal_title：BMC bioinformatics

authors： Allhoff M,Schönhuth A,Martin M,Costa IG,Rahmann S,Marschall T

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Identification of differentially methylated regions (DMRs) is the initial step towards the study of DNA methylation-mediated gene regulation. Previous approaches to call DMRs suffer from false prediction, use extreme resources, and/or require library installation and input conversion. RESULTS:We developed a...

journal_title：BMC bioinformatics

authors： Condon DE,Tran PV,Lien YC,Schug J,Georgieff MK,Simmons RA,Won KJ

更新日期：2018-02-05 00:00:00

abstract：BACKGROUND:Microarray technology can acquire information about thousands of genes simultaneously. We analyzed published breast cancer microarray databases to predict five-year recurrence and compared the performance of three data mining algorithms of artificial neural networks (ANN), decision trees (DT) and logistic re...

journal_title：BMC bioinformatics

authors： Chou HL,Yao CT,Su SL,Lee CY,Hu KY,Terng HJ,Shih YW,Chang YT,Lu YF,Chang CW,Wahlqvist ML,Wetter T,Chu CM

更新日期：2013-03-19 00:00:00

abstract：BACKGROUND:Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large fraction of zero value...

journal_title：BMC bioinformatics

authors： Li Y,Fan TWM,Lane AN,Kang WY,Arnold SM,Stromberg AJ,Wang C,Chen L

更新日期：2019-10-17 00:00:00

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

authors： Stepanova M,Lin F,Lin VC

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:Genetic variations predispose individuals to hereditary diseases, play important role in the development of complex diseases, and impact drug metabolism. The full information about the DNA variations in the genome of an individual is given by haplotypes, the ordered lists of single nucleotide polymorphisms (...

journal_title：BMC bioinformatics

authors： Ahn S,Vikalo H

更新日期：2015-07-16 00:00:00

abstract：BACKGROUND:Several biological techniques result in the acquisition of functional sets of cDNAs that must be sequenced and analyzed. The emergence of redundant databases such as UniGene and centralized annotation engines such as Entrez Gene has allowed the development of software that can analyze a great number of seque...

journal_title：BMC bioinformatics

authors： Smith RP,Buchser WJ,Lemmon MB,Pardinas JR,Bixby JL,Lemmon VP

更新日期：2008-04-10 00:00:00

abstract：BACKGROUND:The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appea...

journal_title：BMC bioinformatics

authors： Tatusov RL,Fedorova ND,Jackson JD,Jacobs AR,Kiryutin B,Koonin EV,Krylov DM,Mazumder R,Mekhedov SL,Nikolskaya AN,Rao BS,Smirnov S,Sverdlov AV,Vasudevan S,Wolf YI,Yin JJ,Natale DA

更新日期：2003-09-11 00:00:00

abstract：BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

journal_title：BMC bioinformatics

authors： Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

更新日期：2010-11-29 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect...

journal_title：BMC bioinformatics

authors： Bauer-Mehren A,Furlong LI,Rautschka M,Sanz F

更新日期：2009-08-27 00:00:00

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:Inflammation is a core element of many different, systemic and chronic diseases that usually involve an important autoimmune component. The clinical phase of inflammatory diseases is often the culmination of a long series of pathologic events that started years before. The systemic characteristics and relate...

journal_title：BMC bioinformatics

authors： Xiao H,Bartoszek K,Lio' P

更新日期：2018-11-30 00:00:00

abstract：BACKGROUND:Interpretation of gene expression microarray data in the light of external information on both columns and rows (experimental variables and gene annotations) facilitates the extraction of pertinent information hidden in these complex data. Biologists classically interpret genes of interest after retrieving f...

journal_title：BMC bioinformatics

authors： Baty F,Rüdiger J,Miglino N,Kern L,Borger P,Brutsche M

更新日期：2013-06-06 00:00:00

abstract：BACKGROUND:We investigate the relationships between the EC (Enzyme Commission) class, the associated chemical reaction, and the reaction mechanism by building predictive models using Support Vector Machine (SVM), Random Forest (RF) and k-Nearest Neighbours (kNN). We consider two ways of encoding the reaction mechanism ...

journal_title：BMC bioinformatics

authors： Nath N,Mitchell JB

更新日期：2012-04-24 00:00:00

abstract：BACKGROUND:Copy number alterations (CNAs), due to their large impact on the genome, have been an important contributing factor to oncogenesis and metastasis. Detecting genomic alterations from the shallow-sequencing data of a low-purity tumor sample remains a challenging task. RESULTS:We introduce Accucopy, a method t...

journal_title：BMC bioinformatics

authors： Fan X,Luo G,Huang YS

更新日期：2021-01-15 00:00:00

abstract：BACKGROUND:Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per group can then be used to identify interesting GO categories in relation to the experimental settings. However, the expression profiles present...

journal_title：BMC bioinformatics

authors： De Haan JR,Piek E,van Schaik RC,de Vlieg J,Bauerschmidt S,Buydens LM,Wehrens R

更新日期：2010-03-26 00:00:00

abstract：BACKGROUND:In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly used to infer the relative amounts of the test and reference sample DNA levels. This ratio may be influenced by systematic measurement effect...

journal_title：BMC bioinformatics

authors： Khojasteh M,Lam WL,Ward RK,MacAulay C

更新日期：2005-11-18 00:00:00

abstract：BACKGROUND:The rapid development of structural genomics has resulted in many "unknown function" proteins being deposited in Protein Data Bank (PDB), thus, the functional prediction of these proteins has become a challenge for structural bioinformatics. Several sequence-based and structure-based methods have been develo...

journal_title：BMC bioinformatics

authors： Li GH,Huang JF

更新日期：2010-08-27 00:00:00

abstract：BACKGROUND:The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently ...

journal_title：BMC bioinformatics

authors： Shaw GT,Pao YY,Wang D

更新日期：2016-11-25 00:00:00

abstract：BACKGROUND:Using phylogenomic analysis tools for tracking pathogens has become standard practice in academia, public health agencies, and large industries. Using the same raw read genomic data as input, there are several different approaches being used to infer phylogenetic tree. These include many different SNP pipeli...

journal_title：BMC bioinformatics

authors： McTavish EJ,Pettengill J,Davis S,Rand H,Strain E,Allard M,Timme RE

更新日期：2017-03-20 00:00:00

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

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

abstract：:Complexes of physically interacting proteins are one of the fundamental functional units responsible for driving key biological mechanisms within the cell. With the advent of high-throughput techniques, significant amount of protein interaction (PPI) data has been catalogued for organisms such as yeast, which has in t...

journal_title：BMC bioinformatics

authors： Srihari S,Leong HW

更新日期：2012-01-01 00:00:00

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

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

更新日期：2016-12-23 00:00:00

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

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

abstract：BACKGROUND:The improvements of high throughput technologies have produced large amounts of multi-omics experiments datasets. Initial analysis of these data has revealed many concurrent gene alterations within single dataset or/and among multiple omics datasets. Although powerful bioinformatics pipelines have been devel...

journal_title：BMC bioinformatics

authors： Chen D,Zhang F,Zhao Q,Xu J

更新日期：2019-11-08 00:00:00