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 LAMP signatures, or combinations of eight primer regions for LAMP signatures with loop primers, which can be used as LAMP signatures. The identified primers are conserved among target organism sequences. Primer combinations are optimized based on lengths, melting temperatures, and spacing among primer sites. We compare LAMP signature candidates for Staphylococcus aureus created both by LAVA and by PrimerExplorer. We also include signatures from a sample run targeting all strains of Mycobacterium tuberculosis. CONCLUSIONS:We have designed and demonstrated new software for identifying signature candidates appropriate for LAMP assays. The software is available for download at http://lava-dna.googlecode.com/.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

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

doi

10.1186/1471-2105-12-240

subject

Has Abstract

pub_date

2011-06-16 00:00:00

pages

240

issn

1471-2105

pii

1471-2105-12-240

journal_volume

12

pub_type

杂志文章
  • 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

  • Recodon: coalescent simulation of coding DNA sequences with recombination, migration and demography.

    abstract:BACKGROUND:Coalescent simulations have proven very useful in many population genetics studies. In order to arrive to meaningful conclusions, it is important that these simulations resemble the process of molecular evolution as much as possible. To date, no single coalescent program is able to simulate codon sequences s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-458

    authors: Arenas M,Posada D

    更新日期:2007-11-20 00:00:00

  • Revealing hidden information in osteoblast's mechanotransduction through analysis of time patterns of critical events.

    abstract:BACKGROUND:Mechanotransduction in bone cells plays a pivotal role in osteoblast differentiation and bone remodelling. Mechanotransduction provides the link between modulation of the extracellular matrix by mechanical load and intracellular activity. By controlling the balance between the intracellular and extracellular...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3394-0

    authors: Ascolani G,Skerry TM,Lacroix D,Dall'Ara E,Shuaib A

    更新日期:2020-03-18 00:00:00

  • Learning statistical models for annotating proteins with function information using biomedical text.

    abstract:BACKGROUND:The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical research articles. We participated in Task 2 of the evaluation. For this task, we built a system to automatically annotate a given protein wit...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-S1-S18

    authors: Ray S,Craven M

    更新日期:2005-01-01 00:00:00

  • Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.

    abstract:BACKGROUND:One of the main goals in cancer studies including high-throughput microRNA (miRNA) and mRNA data is to find and assess prognostic signatures capable of predicting clinical outcome. Both mRNA and miRNA expression changes in cancer diseases are described to reflect clinical characteristics like staging and pro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-488

    authors: Gade S,Porzelius C,Fälth M,Brase JC,Wuttig D,Kuner R,Binder H,Sültmann H,Beissbarth T

    更新日期:2011-12-21 00:00:00

  • Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites.

    abstract:BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-169

    authors: Meinicke P,Tech M,Morgenstern B,Merkl R

    更新日期:2004-10-28 00:00:00

  • De novo profile generation based on sequence context specificity with the long short-term memory network.

    abstract:BACKGROUND:Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2284-1

    authors: Yamada KD,Kinoshita K

    更新日期:2018-07-18 00:00:00

  • Missing genes in the annotation of prokaryotic genomes.

    abstract:BACKGROUND:Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports that prokaryotic gene finder programs have problems with small genes (either over-predicting or under-predicting). Therefore the question ari...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-131

    authors: Warren AS,Archuleta J,Feng WC,Setubal JC

    更新日期:2010-03-15 00:00:00

  • Bayesian semiparametric regression models to characterize molecular evolution.

    abstract:BACKGROUND:Statistical models and methods that associate changes in the physicochemical properties of amino acids with natural selection at the molecular level typically do not take into account the correlations between such properties. We propose a Bayesian hierarchical regression model with a generalization of the Di...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-278

    authors: Datta S,Rodriguez A,Prado R

    更新日期:2012-10-30 00:00:00

  • A novel method to identify high order gene-gene interactions in genome-wide association studies: gene-based MDR.

    abstract:BACKGROUND:Because common complex diseases are affected by multiple genes and environmental factors, it is essential to investigate gene-gene and/or gene-environment interactions to understand genetic architecture of complex diseases. After the great success of large scale genome-wide association (GWA) studies using th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S9-S5

    authors: Oh S,Lee J,Kwon MS,Weir B,Ha K,Park T

    更新日期:2012-06-11 00:00:00

  • Multi-label literature classification based on the Gene Ontology graph.

    abstract:BACKGROUND:The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-525

    authors: Jin B,Muller B,Zhai C,Lu X

    更新日期:2008-12-08 00:00:00

  • PFBNet: a priori-fused boosting method for gene regulatory network inference.

    abstract:BACKGROUND:Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there exists a large number of pot...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03639-7

    authors: Che D,Guo S,Jiang Q,Chen L

    更新日期:2020-07-14 00:00:00

  • Prediction of scaffold proteins based on protein interaction and domain architectures.

    abstract:BACKGROUND:Scaffold proteins are known for being crucial regulators of various cellular functions by assembling multiple proteins involved in signaling and metabolic pathways. Identification of scaffold proteins and the study of their molecular mechanisms can open a new aspect of cellular systemic regulation and the re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1079-5

    authors: Oh K,Yi GS

    更新日期:2016-07-28 00:00:00

  • Approaching the taxonomic affiliation of unidentified sequences in public databases--an example from the mycorrhizal fungi.

    abstract:BACKGROUND:During the last few years, DNA sequence analysis has become one of the primary means of taxonomic identification of species, particularly so for species that are minute or otherwise lack distinct, readily obtainable morphological characters. Although the number of sequences available for comparison in public...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-178

    authors: Nilsson RH,Kristiansson E,Ryberg M,Larsson KH

    更新日期:2005-07-18 00:00:00

  • TMB-Hunt: an amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins.

    abstract:BACKGROUND:Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative and acid fast gram positive), mitochondria and chloroplasts. Despite recent publications describing reasonable levels of accuracy for discrimin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-56

    authors: Garrow AG,Agnew A,Westhead DR

    更新日期:2005-03-15 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

  • Knowledge driven decomposition of tumor expression profiles.

    abstract:BACKGROUND:Tumors have been hypothesized to be the result of a mixture of oncogenic events, some of which will be reflected in the gene expression of the tumor. Based on this hypothesis a variety of data-driven methods have been employed to decompose tumor expression profiles into component profiles, hypothetically lin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S1-S20

    authors: van Vliet MH,Wessels LF,Reinders MJ

    更新日期:2009-01-30 00:00:00

  • ICoVax 2013: the 3rd ISV Pre-conference Computational Vaccinology Workshop.

    abstract::Following last year's computational vaccinology workshop in Shanghai, China, the third ISV Pre-conference Computational Vaccinology Workshop (ICoVax 2013) was held in Barcelona, Spain. ICoVax 2013 provided an international platform for the attendees to showcase their research and discuss problems and solutions in the ...

    journal_title:BMC bioinformatics

    pub_type:

    doi:10.1186/1471-2105-15-S4-I1

    authors: De Groot AS,De Groot P,He Y

    更新日期:2014-01-01 00:00:00

  • An improved string composition method for sequence comparison.

    abstract:BACKGROUND:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S6-S15

    authors: Lu G,Zhang S,Fang X

    更新日期:2008-05-28 00:00:00

  • Constructing a meaningful evolutionary average at the phylogenetic center of mass.

    abstract:BACKGROUND:As a consequence of the evolutionary process, data collected from related species tend to be similar. This similarity by descent can obscure subtler signals in the data such as the evidence of constraint on variation due to shared selective pressures. In comparative sequence analysis, for example, sequence s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-222

    authors: Stone EA,Sidow A

    更新日期:2007-06-26 00:00:00

  • Evolutionary Pareto-optimization of stably folding peptides.

    abstract:BACKGROUND:As a rule, peptides are more flexible and unstructured than proteins with their substantial stabilizing hydrophobic cores. Nevertheless, a few stably folding peptides have been discovered. This raises the question whether there may be more such peptides that are unknown as yet. These molecules could be helpf...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-109

    authors: Gronwald W,Hohm T,Hoffmann D

    更新日期:2008-02-19 00:00:00

  • Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics.

    abstract:BACKGROUND:In many biomedical applications, there is a need for developing classification models based on noisy annotations. Recently, various methods addressed this scenario by relaying on unreliable annotations obtained from multiple sources. RESULTS:We proposed a probabilistic classification algorithm based on labe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-S12-S5

    authors: Zhang P,Cao W,Obradovic Z

    更新日期:2013-01-01 00:00:00

  • imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters.

    abstract:BACKGROUND:The imputation of genotypes increases the power of genome-wide association studies. However, the imputation quality should be assessed in each particular case. Nevertheless, not all imputation softwares control the error of output, e.g., the last release of fastPHASE program (1.4.8) lacks such an option. In ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03589-0

    authors: Khvorykh GV,Khrunin AV

    更新日期:2020-07-24 00:00:00

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

    abstract:BACKGROUND:Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamically expressed under given conditions, and to determine the interaction between these genes. Because of cost and resource issues, most time se...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-13

    authors: Sinha A,Markatou M

    更新日期:2011-01-11 00:00:00

  • Vertical decomposition with Genetic Algorithm for Multiple Sequence Alignment.

    abstract:BACKGROUND:Many Bioinformatics studies begin with a multiple sequence alignment as the foundation for their research. This is because multiple sequence alignment can be a useful technique for studying molecular evolution and analyzing sequence structure relationships. RESULTS:In this paper, we have proposed a Vertical...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-353

    authors: Naznin F,Sarker R,Essam D

    更新日期:2011-08-25 00:00:00

  • Modeling the competition between lung metastases and the immune system using agents.

    abstract:BACKGROUND:The Triplex cell vaccine is a cancer cellular vaccine that can prevent almost completely the mammary tumor onset in HER-2/neu transgenic mice. In a translational perspective, the activity of the Triplex vaccine was also investigated against lung metastases showing that the vaccine is an effective treatment a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S7-S13

    authors: Pennisi M,Pappalardo F,Palladini A,Nicoletti G,Nanni P,Lollini PL,Motta S

    更新日期:2010-10-15 00:00:00

  • Filling out the structural map of the NTF2-like superfamily.

    abstract:BACKGROUND:The NTF2-like superfamily is a versatile group of protein domains sharing a common fold. The sequences of these domains are very diverse and they share no common sequence motif. These domains serve a range of different functions within the proteins in which they are found, including both catalytic and non-ca...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-327

    authors: Eberhardt RY,Chang Y,Bateman A,Murzin AG,Axelrod HL,Hwang WC,Aravind L

    更新日期:2013-11-19 00:00:00

  • Challenging popular tools for the annotation of genetic variations with a real case, pathogenic mutations of lysosomal alpha-galactosidase.

    abstract:BACKGROUND:Severity gradation of missense mutations is a big challenge for exome annotation. Predictors of deleteriousness that are most frequently used to filter variants found by next generation sequencing, produce qualitative predictions, but also numerical scores. It has never been tested if these scores correlate ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2416-7

    authors: Cimmaruta C,Citro V,Andreotti G,Liguori L,Cubellis MV,Hay Mele B

    更新日期:2018-11-30 00:00:00

  • IDconverter and IDClight: conversion and annotation of gene and protein IDs.

    abstract:BACKGROUND:Researchers involved in the annotation of large numbers of gene, clone or protein identifiers are usually required to perform a one-by-one conversion for each identifier. When the field of research is one such as microarray experiments, this number may be around 30,000. RESULTS:To help researchers map acces...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-9

    authors: Alibés A,Yankilevich P,Cañada A,Díaz-Uriarte R

    更新日期:2007-01-10 00:00:00

  • Impact of polymorphic transposable elements on transcription in lymphoblastoid cell lines from public data.

    abstract:BACKGROUND:Transposable elements (TEs) are DNA sequences able to mobilize themselves and to increase their copy-number in the host genome. In the past, they have been considered mainly selfish DNA without evident functions. Nevertheless, currently they are believed to have been extensively involved in the evolution of ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3113-x

    authors: Spirito G,Mangoni D,Sanges R,Gustincich S

    更新日期:2019-11-22 00:00:00