MACSIMS: multiple alignment of complete sequences information management system.

Abstract:

BACKGROUND:In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the vast amount of heterogeneous data available. Multiple alignments of complete sequences provide an ideal environment for the integration of this information in the context of the protein family. RESULTS:MACSIMS is a multiple alignment-based information management program that combines the advantages of both knowledge-based and ab initio sequence analysis methods. Structural and functional information is retrieved automatically from the public databases. In the multiple alignment, homologous regions are identified and the retrieved data is evaluated and propagated from known to unknown sequences with these reliable regions. In a large-scale evaluation, the specificity of the propagated sequence features is estimated to be >99%, i.e. very few false positive predictions are made. MACSIMS is then used to characterise mutations in a test set of 100 proteins that are known to be involved in human genetic diseases. The number of sequence features associated with these proteins was increased by 60%, compared to the features available in the public databases. An XML format output file allows automatic parsing of the MACSIM results, while a graphical display using the JalView program allows manual analysis. CONCLUSION:MACSIMS is a new information management system that incorporates detailed analyses of protein families at the structural, functional and evolutionary levels. MACSIMS thus provides a unique environment that facilitates knowledge extraction and the presentation of the most pertinent information to the biologist. A web server and the source code are available at http://bips.u-strasbg.fr/MACSIMS/.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Thompson JD,Muller A,Waterhouse A,Procter J,Barton GJ,Plewniak F,Poch O

doi

10.1186/1471-2105-7-318

subject

Has Abstract

pub_date

2006-06-23 00:00:00

pages

318

issn

1471-2105

pii

1471-2105-7-318

journal_volume

7

pub_type

杂志文章
  • Machine-learning scoring functions for identifying native poses of ligands docked to known and novel proteins.

    abstract:BACKGROUND:Molecular docking is a widely-employed method in structure-based drug design. An essential component of molecular docking programs is a scoring function (SF) that can be used to identify the most stable binding pose of a ligand, when bound to a receptor protein, from among a large set of candidate poses. Des...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-16-S6-S3

    authors: Ashtawy HM,Mahapatra NR

    更新日期:2015-01-01 00:00:00

  • A novel similarity-measure for the analysis of genetic data in complex phenotypes.

    abstract:BACKGROUND:Recent technological advances in DNA sequencing and genotyping have led to the accumulation of a remarkable quantity of data on genetic polymorphisms. However, the development of new statistical and computational tools for effective processing of these data has not been equally as fast. In particular, Machin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S6-S24

    authors: Lagani V,Montesanto A,Di Cianni F,Moreno V,Landi S,Conforti D,Rose G,Passarino G

    更新日期:2009-06-16 00:00:00

  • In silico docking of urokinase plasminogen activator and integrins.

    abstract:BACKGROUND:Urokinase, its receptor and the integrins are functionally associated and involved in regulation of cell signaling, migration, adhesion and proliferation. No structural information is available on this potential multimolecular complex. However, the tri-dimensional structure of urokinase, urokinase receptor a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S2-S8

    authors: Degryse B,Fernandez-Recio J,Citro V,Blasi F,Cubellis MV

    更新日期:2008-03-26 00:00:00

  • The ontology of biological sequences.

    abstract:BACKGROUND:Biological sequences play a major role in molecular and computational biology. They are studied as information-bearing entities that make up DNA, RNA or proteins. The Sequence Ontology, which is part of the OBO Foundry, contains descriptions and definitions of sequences and their properties. Yet the most bas...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-377

    authors: Hoehndorf R,Kelso J,Herre H

    更新日期:2009-11-18 00:00:00

  • Hit integration for identifying optimal spaced seeds.

    abstract:BACKGROUND:Introduction of spaced speeds opened a way of sensitivity improvement in homology search without loss of search speed. Since then, the efforts of finding optimal seed which maximizes the sensitivity have been continued today. The sensitivity of a seed is generally computed by its hit probability. However, th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S1-S37

    authors: Chung WH,Park SB

    更新日期:2010-01-18 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

  • Widespread evidence of viral miRNAs targeting host pathways.

    abstract:BACKGROUND:MicroRNAs (miRNA) are regulatory genes that target and repress other RNA molecules via sequence-specific binding. Several biological processes are regulated across many organisms by evolutionarily conserved miRNAs. Plants and invertebrates employ their miRNA in defense against viruses by targeting and degrad...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-S2-S3

    authors: Carl JW Jr,Trgovcich J,Hannenhalli S

    更新日期:2013-01-01 00:00:00

  • High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network.

    abstract:BACKGROUND:Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good model of GRN. Howeve...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0823-6

    authors: Lo LY,Wong ML,Lee KH,Leung KS

    更新日期:2015-11-25 00:00:00

  • Drug-target interaction prediction using semi-bipartite graph model and deep learning.

    abstract:BACKGROUND:Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine learning methods have...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3518-6

    authors: Eslami Manoochehri H,Nourani M

    更新日期:2020-07-06 00:00:00

  • MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data.

    abstract:BACKGROUND:Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-395

    authors: Pluskal T,Castillo S,Villar-Briones A,Oresic M

    更新日期:2010-07-23 00:00:00

  • Maximum expected accuracy structural neighbors of an RNA secondary structure.

    abstract:BACKGROUND:Since RNA molecules regulate genes and control alternative splicing by allostery, it is important to develop algorithms to predict RNA conformational switches. Some tools, such as paRNAss, RNAshapes and RNAbor, can be used to predict potential conformational switches; nevertheless, no existent tool can detec...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S5-S6

    authors: Clote P,Lou F,Lorenz WA

    更新日期:2012-04-12 00:00:00

  • Roar: detecting alternative polyadenylation with standard mRNA sequencing libraries.

    abstract:BACKGROUND:Post-transcriptional regulation is a complex mechanism that plays a central role in defining multiple cellular identities starting from a common genome. Modifications in the length of 3'UTRs have been found to play an important role in this context, since alternative 3' UTRs could lead to differences for exa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1254-8

    authors: Grassi E,Mariella E,Lembo A,Molineris I,Provero P

    更新日期:2016-10-18 00:00:00

  • Supervised segmentation of phenotype descriptions for the human skeletal phenome using hybrid methods.

    abstract:BACKGROUND:Over the course of the last few years there has been a significant amount of research performed on ontology-based formalization of phenotype descriptions. In order to fully capture the intrinsic value and knowledge expressed within them, we need to take advantage of their inner structure, which implicitly co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-265

    authors: Groza T,Hunter J,Zankl A

    更新日期:2012-10-15 00:00:00

  • New directions in biomedical text annotation: definitions, guidelines and corpus construction.

    abstract:BACKGROUND:While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step towards more accurate text-mining lies in the ability to identify and characterize text that satisfies various types of information needs. We rep...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-356

    authors: Wilbur WJ,Rzhetsky A,Shatkay H

    更新日期:2006-07-25 00:00:00

  • Software for the analysis and visualization of deep mutational scanning data.

    abstract:BACKGROUND:Deep mutational scanning is a technique to estimate the impacts of mutations on a gene by using deep sequencing to count mutations in a library of variants before and after imposing a functional selection. The impacts of mutations must be inferred from changes in their counts after selection. RESULTS:I desc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0590-4

    authors: Bloom JD

    更新日期:2015-05-20 00:00:00

  • GO2MSIG, an automated GO based multi-species gene set generator for gene set enrichment analysis.

    abstract:BACKGROUND:Despite the widespread use of high throughput expression platforms and the availability of a desktop implementation of Gene Set Enrichment Analysis (GSEA) that enables non-experts to perform gene set based analyses, the availability of the necessary precompiled gene sets is rare for species other than human....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-146

    authors: Powell JA

    更新日期:2014-05-17 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

  • Comparison of methods to detect copy number alterations in cancer using simulated and real genotyping data.

    abstract:BACKGROUND:The detection of genomic copy number alterations (CNA) in cancer based on SNP arrays requires methods that take into account tumour specific factors such as normal cell contamination and tumour heterogeneity. A number of tools have been recently developed but their performance needs yet to be thoroughly asse...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-192

    authors: Mosén-Ansorena D,Aransay AM,Rodríguez-Ezpeleta N

    更新日期:2012-08-07 00:00:00

  • Effects of Mecp2 loss of function in embryonic cortical neurons: a bioinformatics strategy to sort out non-neuronal cells variability from transcriptome profiling.

    abstract:BACKGROUND:Mecp2 null mice model Rett syndrome (RTT) a human neurological disorder affecting females after apparent normal pre- and peri-natal developmental periods. Neuroanatomical studies in cerebral cortex of RTT mouse models revealed delayed maturation of neuronal morphology and autonomous as well as non-cell auton...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0859-7

    authors: Vacca M,Tripathi KP,Speranza L,Aiese Cigliano R,Scalabrì F,Marracino F,Madonna M,Sanseverino W,Perrone-Capano C,Guarracino MR,D'Esposito M

    更新日期:2016-01-20 00:00:00

  • Bias detection and correction in RNA-Sequencing data.

    abstract:BACKGROUND:High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel transcripts. Moreover, for genes with mult...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-290

    authors: Zheng W,Chung LM,Zhao H

    更新日期:2011-07-19 00:00:00

  • libcov: a C++ bioinformatic library to manipulate protein structures, sequence alignments and phylogeny.

    abstract:BACKGROUND:An increasing number of bioinformatics methods are considering the phylogenetic relationships between biological sequences. Implementing new methodologies using the maximum likelihood phylogenetic framework can be a time consuming task. RESULTS:The bioinformatics library libcov is a collection of C++ classe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-138

    authors: Butt D,Roger AJ,Blouin C

    更新日期:2005-06-06 00:00:00

  • Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

    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

    authors: Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

    更新日期:2020-03-20 00:00:00

  • Simple binary segmentation frameworks for identifying variation in DNA copy number.

    abstract:BACKGROUND:Variation in DNA copy number, due to gains and losses of chromosome segments, is common. A first step for analyzing DNA copy number data is to identify amplified or deleted regions in individuals. To locate such regions, we propose a circular binary segmentation procedure, which is based on a sequence of nes...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-277

    authors: Yang TY

    更新日期:2012-10-30 00:00:00

  • Identification of conserved gene clusters in multiple genomes based on synteny and homology.

    abstract:BACKGROUND:Uncovering the relationship between the conserved chromosomal segments and the functional relatedness of elements within these segments is an important question in computational genomics. We build upon the series of works on gene teams and homology teams. RESULTS:Our primary contribution is a local sliding-...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S9-S18

    authors: Sarkar A,Soueidan H,Nikolski M

    更新日期:2011-10-05 00:00:00

  • Towards barcode markers in Fungi: an intron map of Ascomycota mitochondria.

    abstract:BACKGROUND:A standardized and cost-effective molecular identification system is now an urgent need for Fungi owing to their wide involvement in human life quality. In particular the potential use of mitochondrial DNA species markers has been taken in account. Unfortunately, a serious difficulty in the PCR and bioinform...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S6-S15

    authors: Santamaria M,Vicario S,Pappadà G,Scioscia G,Scazzocchio C,Saccone C

    更新日期:2009-06-16 00:00:00

  • Computational method for reducing variance with Affymetrix microarrays.

    abstract:BACKGROUND:Affymetrix microarrays are used by many laboratories to generate gene expression profiles. Generally, only large differences (> 1.7-fold) between conditions have been reported. Computational methods to reduce inter-array variability might be of value when attempting to detect smaller differences. We examined...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-3-23

    authors: Welle S,Brooks AI,Thornton CA

    更新日期:2002-08-30 00:00:00

  • A MATLAB tool for pathway enrichment using a topology-based pathway regulation score.

    abstract:BACKGROUND:Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0358-2

    authors: Ibrahim M,Jassim S,Cawthorne MA,Langlands K

    更新日期:2014-11-04 00:00:00

  • Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images.

    abstract:BACKGROUND:Computer-aided segmentation and border detection in dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer var...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S6-S26

    authors: Kockara S,Mete M,Chen B,Aydin K

    更新日期:2010-10-07 00:00:00

  • Simultaneous fitting of real-time PCR data with efficiency of amplification modeled as Gaussian function of target fluorescence.

    abstract:BACKGROUND:In real-time PCR, it is necessary to consider the efficiency of amplification (EA) of amplicons in order to determine initial target levels properly. EAs can be deduced from standard curves, but these involve extra effort and cost and may yield invalid EAs. Alternatively, EA can be extracted from individual ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-95

    authors: Batsch A,Noetel A,Fork C,Urban A,Lazic D,Lucas T,Pietsch J,Lazar A,Schömig E,Gründemann D

    更新日期:2008-02-12 00:00:00

  • Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span.

    abstract:BACKGROUND:The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caeno...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-250

    authors: Blei DM,Franks K,Jordan MI,Mian IS

    更新日期:2006-05-08 00:00:00