EGNAS: an exhaustive DNA sequence design algorithm.

Abstract:

BACKGROUND:The molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exhaustive DNA sequence design algorithm that allows to generate sets containing a maximum number of sequences with defined properties. EGNAS (Exhaustive Generation of Nucleic Acid Sequences) offers the possibility of controlling both interstrand and intrastrand properties. The guanine-cytosine content can be adjusted. Sequences can be forced to start and end with guanine or cytosine. This option reduces the risk of "fraying" of DNA strands. It is possible to limit cross hybridizations of a defined length, and to adjust the uniqueness of sequences. Self-complementarity and hairpin structures of certain length can be avoided. Sequences and subsequences can optionally be forbidden. Furthermore, sequences can be designed to have minimum interactions with predefined strands and neighboring sequences. RESULTS:The algorithm is realized in a C++ program. TAG sequences can be generated and combined with primers for single-base extension reactions, which were described for multiplexed genotyping of single nucleotide polymorphisms. Thereby, possible foldback through intrastrand interaction of TAG-primer pairs can be limited. The design of sequences for specific attachment of molecular constructs to DNA origami is presented. CONCLUSIONS:We developed a new software tool called EGNAS for the design of unique nucleic acid sequences. The presented exhaustive algorithm allows to generate greater sets of sequences than with previous software and equal constraints. EGNAS is freely available for noncommercial use at http://www.chm.tu-dresden.de/pc6/EGNAS.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Kick A,Bönsch M,Mertig M

doi

10.1186/1471-2105-13-138

subject

Has Abstract

pub_date

2012-06-20 00:00:00

pages

138

issn

1471-2105

pii

1471-2105-13-138

journal_volume

13

pub_type

杂志文章
  • Nanopore-based kinetics analysis of individual antibody-channel and antibody-antigen interactions.

    abstract:BACKGROUND:The UNO/RIC Nanopore Detector provides a new way to study the binding and conformational changes of individual antibodies. Many critical questions regarding antibody function are still unresolved, questions that can be approached in a new way with the nanopore detector. RESULTS:We present evidence that diff...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S7-S20

    authors: Winters-Hilt S,Morales E,Amin I,Stoyanov A

    更新日期:2007-11-01 00:00:00

  • Simulating autosomal genotypes with realistic linkage disequilibrium and a spiked-in genetic effect.

    abstract:BACKGROUND:To evaluate statistical methods for genome-wide genetic analyses, one needs to be able to simulate realistic genotypes. We here describe a method, applicable to a broad range of association study designs, that can simulate autosome-wide single-nucleotide polymorphism data with realistic linkage disequilibriu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-2004-2

    authors: Shi M,Umbach DM,Wise AS,Weinberg CR

    更新日期:2018-01-02 00:00:00

  • Scuba: scalable kernel-based gene prioritization.

    abstract:BACKGROUND:The uncovering of genes linked to human diseases is a pressing challenge in molecular biology and precision medicine. This task is often hindered by the large number of candidate genes and by the heterogeneity of the available information. Computational methods for the prioritization of candidate genes can h...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2025-5

    authors: Zampieri G,Tran DV,Donini M,Navarin N,Aiolli F,Sperduti A,Valle G

    更新日期:2018-01-25 00:00:00

  • AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions.

    abstract:BACKGROUND:Replication origins are considered important sites for understanding the molecular mechanisms involved in DNA replication. Many computational methods have been developed for predicting their locations in archaeal, bacterial and eukaryotic genomes. However, a prediction method designed for a particular kind o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-163

    authors: Chew DS,Leung MY,Choi KP

    更新日期:2007-05-21 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

  • libgapmis: extending short-read alignments.

    abstract:BACKGROUND:A wide variety of short-read alignment programmes have been published recently to tackle the problem of mapping millions of short reads to a reference genome, focusing on different aspects of the procedure such as time and memory efficiency, sensitivity, and accuracy. These tools allow for a small number of ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-S11-S4

    authors: Alachiotis N,Berger S,Flouri T,Pissis SP,Stamatakis A

    更新日期:2013-01-01 00:00:00

  • Partial correlation analysis indicates causal relationships between GC-content, exon density and recombination rate in the human genome.

    abstract:BACKGROUND:Several features are known to correlate with the GC-content in the human genome, including recombination rate, gene density and distance to telomere. However, by testing for pairwise correlation only, it is impossible to distinguish direct associations from indirect ones and to distinguish between causes and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S1-S66

    authors: Freudenberg J,Wang M,Yang Y,Li W

    更新日期:2009-01-30 00:00:00

  • Prediction of virus-host infectious association by supervised learning methods.

    abstract:BACKGROUND:The study of virus-host infectious association is important for understanding the functions and dynamics of microbial communities. Both cellular and fractionated viral metagenomic data generate a large number of viral contigs with missing host information. Although relative simple methods based on the simila...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1473-7

    authors: Zhang M,Yang L,Ren J,Ahlgren NA,Fuhrman JA,Sun F

    更新日期:2017-03-14 00:00:00

  • Metabolite coupling in genome-scale metabolic networks.

    abstract:BACKGROUND:Biochemically detailed stoichiometric matrices have now been reconstructed for various bacteria, yeast, and for the human cardiac mitochondrion based on genomic and proteomic data. These networks have been manually curated based on legacy data and elementally and charge balanced. Comparative analysis of thes...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-111

    authors: Becker SA,Price ND,Palsson BØ

    更新日期:2006-03-06 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

  • A computational approach for detecting peptidases and their specific inhibitors at the genome level.

    abstract:BACKGROUND:Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2-5% of the genes encode for peptidases, irrespectively of the organism source. The basic peptidase function is "protein digestion" and this can be potentially dangerous in living organisms w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S1-S3

    authors: Bartoli L,Calabrese R,Fariselli P,Mita DG,Casadio R

    更新日期:2007-03-08 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

  • 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

  • Phylogenetic detection of conserved gene clusters in microbial genomes.

    abstract:BACKGROUND:Microbial genomes contain an abundance of genes with conserved proximity forming clusters on the chromosome. However, the conservation can be a result of many factors such as vertical inheritance, or functional selection. Thus, identification of conserved gene clusters that are under functional selection pro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-243

    authors: Zheng Y,Anton BP,Roberts RJ,Kasif S

    更新日期:2005-10-03 00:00:00

  • Alternative mapping of probes to genes for Affymetrix chips.

    abstract:BACKGROUND:Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the quality of measurements. However, once probes have been selected and synthesized on an array, it is still possible to re-evaluate the results...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-111

    authors: Gautier L,Møller M,Friis-Hansen L,Knudsen S

    更新日期:2004-08-14 00:00:00

  • Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray development.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-478

    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

  • Mining differential top-k co-expression patterns from time course comparative gene expression datasets.

    abstract:BACKGROUND:Frequent pattern mining analysis applied on microarray dataset appears to be a promising strategy for identifying relationships between gene expression levels. Unfortunately, too many itemsets (co-expressed genes) are identified by this analysis method since it does not consider the importance of each gene w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-230

    authors: Liu YC,Cheng CP,Tseng VS

    更新日期:2013-07-21 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

  • Learning smoothing models of copy number profiles using breakpoint annotations.

    abstract:BACKGROUND:Many models have been proposed to detect copy number alterations in chromosomal copy number profiles, but it is usually not obvious to decide which is most effective for a given data set. Furthermore, most methods have a smoothing parameter that determines the number of breakpoints and must be chosen using v...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-164

    authors: Hocking TD,Schleiermacher G,Janoueix-Lerosey I,Boeva V,Cappo J,Delattre O,Bach F,Vert JP

    更新日期:2013-05-22 00:00:00

  • Molecular evolution of dihydrouridine synthases.

    abstract:BACKGROUND:Dihydrouridine (D) is a modified base found in conserved positions in the D-loop of tRNA in Bacteria, Eukaryota, and some Archaea. Despite the abundant occurrence of D, little is known about its biochemical roles in mediating tRNA function. It is assumed that D may destabilize the structure of tRNA and thus ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-153

    authors: Kasprzak JM,Czerwoniec A,Bujnicki JM

    更新日期:2012-06-28 00:00:00

  • LDpop: an interactive online tool to calculate and visualize geographic LD patterns.

    abstract:BACKGROUND:Linkage disequilibrium (LD)-the non-random association of alleles at different loci-defines population-specific haplotypes which vary by genomic ancestry. Assessment of allelic frequencies and LD patterns from a variety of ancestral populations enables researchers to better understand population histories as...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3340-1

    authors: Alexander TA,Machiela MJ

    更新日期:2020-01-10 00:00:00

  • Comparing the performance of selected variant callers using synthetic data and genome segmentation.

    abstract:BACKGROUND:High-throughput sequencing has rapidly become an essential part of precision cancer medicine. But validating results obtained from analyzing and interpreting genomic data remains a rate-limiting factor. The gold standard, of course, remains manual validation by expert panels, which is not without its weaknes...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2440-7

    authors: Bian X,Zhu B,Wang M,Hu Y,Chen Q,Nguyen C,Hicks B,Meerzaman D

    更新日期:2018-11-19 00:00:00

  • Methodology capture: discriminating between the "best" and the rest of community practice.

    abstract:BACKGROUND:The methodologies we use both enable and help define our research. However, as experimental complexity has increased the choice of appropriate methodologies has become an increasingly difficult task. This makes it difficult to keep track of available bioinformatics software, let alone the most suitable proto...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-359

    authors: Eales JM,Pinney JW,Stevens RD,Robertson DL

    更新日期:2008-09-01 00:00:00

  • Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields.

    abstract:BACKGROUND:De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence. However, sequencing errors and repeated subsequences render the identification of the true underlying sequence dif...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03740-x

    authors: Steyaert A,Audenaert P,Fostier J

    更新日期:2020-09-14 00:00:00

  • Extended analysis of benchmark datasets for Agilent two-color microarrays.

    abstract:BACKGROUND:As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on five microarray platforms. For most platforms, several different methods of data processing were considered. However, there was no similar consid...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-371

    authors: Kerr KF

    更新日期:2007-10-03 00:00:00

  • An integrative method to normalize RNA-Seq data.

    abstract:BACKGROUND:Transcriptome sequencing is a powerful tool for measuring gene expression, but as well as some other technologies, various artifacts and biases affect the quantification. In order to correct some of them, several normalization approaches have emerged, differing both in the statistical strategy employed and i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-188

    authors: Filloux C,Cédric M,Romain P,Lionel F,Christophe K,Dominique R,Abderrahman M,Daniel P

    更新日期:2014-06-14 00:00:00

  • Temporal dynamics of protein complexes in PPI networks: a case study using yeast cell cycle dynamics.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S17-S16

    authors: Srihari S,Leong HW

    更新日期:2012-01-01 00:00:00

  • MetaMIS: a metagenomic microbial interaction simulator based on microbial community profiles.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1359-0

    authors: Shaw GT,Pao YY,Wang D

    更新日期:2016-11-25 00:00:00

  • Reporting and connecting cell type names and gating definitions through ontologies.

    abstract:BACKGROUND:Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. Such techniques classify cells into populations based on the detection of a pattern of markers. The description of the cell populations targeted in ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2725-5

    authors: Overton JA,Vita R,Dunn P,Burel JG,Bukhari SAC,Cheung KH,Kleinstein SH,Diehl AD,Peters B

    更新日期:2019-04-25 00:00:00

  • Accuracy of RNA-Seq and its dependence on sequencing depth.

    abstract:BACKGROUND:The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common technique for surveying gene expression based on DNA sequencing. As it is not clear how increased sequencin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S13-S5

    authors: Cai G,Li H,Lu Y,Huang X,Lee J,Müller P,Ji Y,Liang S

    更新日期:2012-01-01 00:00:00