SeqVISTA: a graphical tool for sequence feature visualization and comparison.

Abstract:

BACKGROUND:Many readers will sympathize with the following story. You are viewing a gene sequence in Entrez, and you want to find whether it contains a particular sequence motif. You reach for the browser's "find in page" button, but those darn spaces every 10 bp get in the way. And what if the motif is on the opposite strand? Subsequently, your favorite sequence analysis software informs you that there is an interesting feature at position 13982-14013. By painstakingly counting the 10 bp blocks, you are able to examine the sequence at this location. But now you want to see what other features have been annotated close by, and this information is buried several screenfuls higher up the web page. RESULTS:SeqVISTA presents a holistic, graphical view of features annotated on nucleotide or protein sequences. This interactive tool highlights the residues in the sequence that correspond to features chosen by the user, and allows easy searching for sequence motifs or extraction of particular subsequences. SeqVISTA is able to display results from diverse sequence analysis tools in an integrated fashion, and aims to provide much-needed unity to the bioinformatics resources scattered around the Internet. Our viewer may be launched on a GenBank record by a single click of a button installed in the web browser. CONCLUSION:SeqVISTA allows insights to be gained by viewing the totality of sequence annotations and predictions, which may be more revealing than the sum of their parts. SeqVISTA runs on any operating system with a Java 1.4 virtual machine. It is freely available to academic users at http://zlab.bu.edu/SeqVISTA.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Hu Z,Frith M,Niu T,Weng Z

doi

10.1186/1471-2105-4-1

keywords:

subject

Has Abstract

pub_date

2003-01-04 00:00:00

pages

1

issn

1471-2105

journal_volume

4

pub_type

杂志文章
  • Detecting intergene correlation changes in microarray analysis: a new approach to gene selection.

    abstract:BACKGROUND:Microarray technology is commonly used as a simple screening tool with a focus on selecting genes that exhibit extremely large differential expressions between different phenotypes. It lacks the ability to select genes that change their relationships with other genes in different biological conditions (diffe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-20

    authors: Hu R,Qiu X,Glazko G,Klebanov L,Yakovlev A

    更新日期:2009-01-15 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

  • Improved functional prediction of proteins by learning kernel combinations in multilabel settings.

    abstract:BACKGROUND:We develop a probabilistic model for combining kernel matrices to predict the function of proteins. It extends previous approaches in that it can handle multiple labels which naturally appear in the context of protein function. RESULTS:Explicit modeling of multilabels significantly improves the capability o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S2-S12

    authors: Roth V,Fischer B

    更新日期:2007-05-03 00:00:00

  • mSpecs: a software tool for the administration and editing of mass spectral libraries in the field of metabolomics.

    abstract:BACKGROUND:Metabolome analysis with GC/MS has meanwhile been established as one of the "omics" techniques. Compound identification is done by comparison of the MS data with compound libraries. Mass spectral libraries in the field of metabolomics ought to connect the relevant mass traces of the metabolites to other rele...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-229

    authors: Thielen B,Heinen S,Schomburg D

    更新日期:2009-07-22 00:00:00

  • BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features.

    abstract:BACKGROUND:Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical fi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-325

    authors: Tsai RT,Chou WC,Su YS,Lin YC,Sung CL,Dai HJ,Yeh IT,Ku W,Sung TY,Hsu WL

    更新日期:2007-09-01 00:00:00

  • Generating confidence intervals on biological networks.

    abstract:BACKGROUND:In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the nodes and it will in general be necessary to account for these de...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-467

    authors: Thorne T,Stumpf MP

    更新日期:2007-11-30 00:00:00

  • MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization.

    abstract:BACKGROUND:Prioritizing genes according to their associations with a cancer allows researchers to explore genes in more informed ways. By far, Gene-centric or network-centric gene prioritization methods are predominated. Genes and their protein products carry out cellular processes in the context of functional modules....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2216-0

    authors: Su L,Liu G,Bai T,Meng X,Ma Q

    更新日期:2018-06-05 00:00:00

  • Development and tuning of an original search engine for patent libraries in medicinal chemistry.

    abstract:BACKGROUND:The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which inten...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S1-S15

    authors: Pasche E,Gobeill J,Kreim O,Oezdemir-Zaech F,Vachon T,Lovis C,Ruch P

    更新日期:2014-01-01 00:00:00

  • Measuring phenotype-phenotype similarity through the interactome.

    abstract:BACKGROUND:Recently, measuring phenotype similarity began to play an important role in disease diagnosis. Researchers have begun to pay attention to develop phenotype similarity measurement. However, existing methods ignore the interactions between phenotype-associated proteins, which may lead to inaccurate phenotype s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2102-9

    authors: Peng J,Hui W,Shang X

    更新日期:2018-04-11 00:00:00

  • A novel computational strategy for DNA methylation imputation using mixture regression model (MRM).

    abstract:BACKGROUND:DNA methylation is an important heritable epigenetic mark that plays a crucial role in transcriptional regulation and the pathogenesis of various human disorders. The commonly used DNA methylation measurement approaches, e.g., Illumina Infinium HumanMethylation-27 and -450 BeadChip arrays (27 K and 450 K arr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03865-z

    authors: Yu F,Xu C,Deng HW,Shen H

    更新日期:2020-12-01 00:00:00

  • From SNPs to pathways: integration of functional effect of sequence variations on models of cell signalling pathways.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S8-S6

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

    更新日期:2009-08-27 00:00:00

  • Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles.

    abstract:BACKGROUND:DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biomarkers. The identification of disease-specific methylation signatures ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-457

    authors: Meng H,Murrelle EL,Li G

    更新日期:2008-10-27 00:00:00

  • Constructing patch-based ligand-binding pocket database for predicting function of proteins.

    abstract:BACKGROUND:Many of solved tertiary structures of unknown functions do not have global sequence and structural similarities to proteins of known function. Often functional clues of unknown proteins can be obtained by predicting small ligand molecules that bind to the proteins. METHODS:In our previous work, we have deve...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S2-S7

    authors: Sael L,Kihara D

    更新日期:2012-03-13 00:00:00

  • Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding.

    abstract:BACKGROUND:Human triosephosphate isomerase (HsTIM) deficiency is a genetic disease caused often by the pathogenic mutation E104D. This mutation, located at the side of an abnormally large cluster of water in the inter-subunit interface, reduces the thermostability of the enzyme. Why and how these water molecules are di...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-S16-S11

    authors: Li Z,He Y,Liu Q,Zhao L,Wong L,Kwoh CK,Nguyen H,Li J

    更新日期:2013-01-01 00:00:00

  • Identification of novel alternative splicing biomarkers for breast cancer with LC/MS/MS and RNA-Seq.

    abstract:BACKGROUND:Alternative splicing isoforms have been reported as a new and robust class of diagnostic biomarkers. Over 95% of human genes are estimated to be alternatively spliced as a powerful means of producing functionally diverse proteins from a single gene. The emergence of next-generation sequencing technologies, e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03824-8

    authors: Zhang F,Deng CK,Wang M,Deng B,Barber R,Huang G

    更新日期:2020-12-03 00:00:00

  • Subfamily specific conservation profiles for proteins based on n-gram patterns.

    abstract:BACKGROUND:A new algorithm has been developed for generating conservation profiles that reflect the evolutionary history of the subfamily associated with a query sequence. It is based on n-gram patterns (NP{n,m}) which are sets of n residues and m wildcards in windows of size n+m. The generation of conservation profile...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-72

    authors: Vries JK,Liu X

    更新日期:2008-01-30 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

  • GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima.

    abstract:BACKGROUND:Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach that is widely known, but which has never been investigated before:...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-486

    authors: Shida K

    更新日期:2006-11-04 00:00:00

  • SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3067-z

    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

  • Spot quantification in two dimensional gel electrophoresis image analysis: comparison of different approaches and presentation of a novel compound fitting algorithm.

    abstract:BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-181

    authors: Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

    更新日期:2014-06-11 00:00:00

  • The PowerAtlas: a power and sample size atlas for microarray experimental design and research.

    abstract:BACKGROUND:Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experiments is how to estimate the sample size required for good statistical power. What is the projected sample size or number of replicate chips need...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-84

    authors: Page GP,Edwards JW,Gadbury GL,Yelisetti P,Wang J,Trivedi P,Allison DB

    更新日期:2006-02-22 00:00:00

  • Non-coding RNA detection methods combined to improve usability, reproducibility and precision.

    abstract:BACKGROUND:Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction of ncRNAs increases with the pace of sequencing technology. Existing tools are based on various approaches and techniques, but none of them p...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-491

    authors: Raasch P,Schmitz U,Patenge N,Vera J,Kreikemeyer B,Wolkenhauer O

    更新日期:2010-09-29 00:00:00

  • Predicting and improving the protein sequence alignment quality by support vector regression.

    abstract:BACKGROUND:For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate sequence alignment between a query protein and a template protein is critical. It has been known that the alignment accuracy can vary significant...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-471

    authors: Lee M,Jeong CS,Kim D

    更新日期:2007-12-03 00:00:00

  • Optimal sequencing depth design for whole genome re-sequencing in pigs.

    abstract:BACKGROUND:As whole-genome sequencing is becoming a routine technique, it is important to identify a cost-effective depth of sequencing for such studies. However, the relationship between sequencing depth and biological results from the aspects of whole-genome coverage, variant discovery power and the quality of varian...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3164-z

    authors: Jiang Y,Jiang Y,Wang S,Zhang Q,Ding X

    更新日期:2019-11-08 00:00:00

  • An assessment of catalytic residue 3D ensembles for the prediction of enzyme function.

    abstract:BACKGROUND:The central element of each enzyme is the catalytic site, which commonly catalyzes a single biochemical reaction with high specificity. It was unclear to us how often sites that catalyze the same or highly similar reactions evolved on different, i. e. non-homologous protein folds and how similar their 3D pos...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0807-6

    authors: Žváček C,Friedrichs G,Heizinger L,Merkl R

    更新日期:2015-11-04 00:00:00

  • A multiple-alignment based primer design algorithm for genetically highly variable DNA targets.

    abstract:BACKGROUND:Primer design for highly variable DNA sequences is difficult, and experimental success requires attention to many interacting constraints. The advent of next-generation sequencing methods allows the investigation of rare variants otherwise hidden deep in large populations, but requires attention to populatio...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-255

    authors: Brodin J,Krishnamoorthy M,Athreya G,Fischer W,Hraber P,Gleasner C,Green L,Korber B,Leitner T

    更新日期:2013-08-21 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

  • XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry.

    abstract:BACKGROUND:Chemical cross-linking is used for protein-protein contacts mapping and for structural analysis. One of the difficulties in cross-linking studies is the analysis of mass-spectrometry data and the assignment of the site of cross-link incorporation. The difficulties are due to higher charges of fragment ions, ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S11-S16

    authors: Jaiswal M,Crabtree N,Bauer MA,Hall R,Raney KD,Zybailov BL

    更新日期:2014-01-01 00:00:00

  • Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework.

    abstract:BACKGROUND:In omics data integration studies, it is common, for a variety of reasons, for some individuals to not be present in all data tables. Missing row values are challenging to deal with because most statistical methods cannot be directly applied to incomplete datasets. To overcome this issue, we propose a multip...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1273-5

    authors: Voillet V,Besse P,Liaubet L,San Cristobal M,González I

    更新日期:2016-10-03 00:00:00

  • Efficient use of unlabeled data for protein sequence classification: a comparative study.

    abstract:BACKGROUND:Recent studies in computational primary protein sequence analysis have leveraged the power of unlabeled data. For example, predictive models based on string kernels trained on sequences known to belong to particular folds or superfamilies, the so-called labeled data set, can attain significantly improved acc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S4-S2

    authors: Kuksa P,Huang PH,Pavlovic V

    更新日期:2009-04-29 00:00:00