scholarly journals LEPSCAN--a web server for searching latent periodicity in DNA sequences

2011 ◽  
Vol 13 (2) ◽  
pp. 143-149 ◽  
Author(s):  
A. Shelenkov ◽  
E. Korotkov
Keyword(s):  
Dna Sequences ◽  
Web Server ◽  
Latent Periodicity

RepEx: A web server to extract sequence repeats from protein and DNA sequences

2019 ◽  
Vol 78 ◽  
pp. 424-430 ◽  
Author(s):  
Daliah Michael ◽  
M. Gurusaran ◽  
R. Santhosh ◽  
Md. Khaja Hussain ◽  
S.N. Satheesh ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Web Server

scholarly journals OPTIMIZER: a web server for optimizing the codon usage of DNA sequences

2007 ◽  
Vol 35 (Web Server) ◽  
pp. W126-W131 ◽  
Author(s):  
P. Puigbo ◽  
E. Guzman ◽  
A. Romeu ◽  
S. Garcia-Vallve
Keyword(s):  
Codon Usage ◽  
Dna Sequences ◽  
Web Server

scholarly journals FOLDNA, a Web Server for Self-Assembled DNA Nanostructure Autoscaffolds and Autostaples

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Chensheng Zhou ◽  
Heng Luo ◽  
Xiaolu Feng ◽  
Xingwang Li ◽  
Jie Zhu ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Dna Sequences ◽  
Self Assembly ◽  
Web Server ◽  
Automatic Design ◽  
Dna Nanostructures ◽  
Complementary Dna ◽  
Dna Nanostructure ◽  
Comprehensive Information ◽  
Self Assembled

DNA self-assembly is a nanotechnology that folds DNA into desired shapes. Self-assembled DNA nanostructures, also known as origami, are increasingly valuable in nanomaterial and biosensing applications. Two ways to use DNA nanostructures in medicine are to form nanoarrays, and to work as vehicles in drug delivery. The DNA nanostructures perform well as a biomaterial in these areas because they have spatially addressable and size controllable properties. However, manually designing complementary DNA sequences for self-assembly is a technically demanding and time consuming task, which makes it advantageous for computers to do this job instead. We have developed a web server, FOLDNA, which can automatically design 2D self-assembled DNA nanostructures according to custom pictures and scaffold sequences provided by the users. It is the first web server to provide an entirely automatic design of self-assembled DNA nanostructure, and it takes merely a second to generate comprehensive information for molecular experiments including: scaffold DNA pathways, staple DNA directions, and staple DNA sequences. This program could save as much as several hours in the designing step for each DNA nanostructure. We randomly selected some shapes and corresponding outputs from our server and validated its performance in molecular experiments.

scholarly journals AmpliconDesign – An interactive web server for the design of high-throughput targeted DNA methylation assays

2020 ◽  
Author(s):  
Maximilian Schönung ◽  
Jana Hess ◽  
Pascal Bawidamann ◽  
Sina Stäble ◽  
Joschka Hey ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Quality Control ◽  
High Throughput ◽  
Dna Sequences ◽  
Web Server ◽  
Dna Amplification ◽  
Pcr Primers ◽  
Primer Design ◽  
Link Type ◽  
Targeted Analysis

ABSTRACTTargeted analysis of DNA methylation patterns based on bisulfite-treated genomic DNA (BT-DNA) is considered as a gold-standard for epigenetic biomarker development. Existing software tools facilitate primer design, primer quality control or visualization of primer localization. However, high-throughput design of primers for BT-DNA amplification is hampered by limits in throughput and functionality of existing tools, requiring users to repeatedly perform specific tasks manually. Consequently, the design of PCR primers for BT-DNA remains a tedious and time-consuming process. To bridge this gap, we developed AmpliconDesign, a webserver providing a scalable and user-friendly platform for the design and analysis of targeted DNA methylation studies based on BT-DNA, e.g. deep amplicon bisulfite sequencing (ampBS-seq), EpiTYPER MassArray, or pyrosequencing. Core functionality of the web server includes high-throughput primer design and binding site validation based on in silico bisulfite-converted DNA sequences, prediction of fragmentation patterns for EpiTYPER MassArray, an interactive quality control as well as a streamlined analysis workflow for ampBS-seq.Availability and ImplementationThe AmpliconDesign webserver is freely available online at: https://amplicondesign.dkfz.de/. AmpliconDesign has been implemented using the R Shiny framework (Chang et al., 2018). The source code is publicly available under the GNU General Public License v3.0 (https://github.com/MaxSchoenung/AmpliconDesign).ContactDaniel B. Lipka ([email protected]) & Maximilian Schönung ([email protected])

scholarly journals BiasAway: command-line and web server to generate nucleotide composition-matched DNA background sequences

2020 ◽  
Author(s):  
Aziz Khan ◽  
Rafael Riudavets Puig ◽  
Paul Boddie ◽  
Anthony Mathelier
Keyword(s):  
Dna Sequences ◽  
Source Code ◽  
Web Server ◽  
Enrichment Analysis ◽  
Nucleotide Composition ◽  
Supplementary Information ◽  
Command Line ◽  
Sequence Composition ◽  
Command Line Tool ◽  
Gc Bias

Abstract Motivation Accurate motif enrichment analyses depend on the choice of background DNA sequences used, which should ideally match the sequence composition of the foreground sequences. It is important to avoid false positive enrichment due to sequence biases in the genome, such as GC-bias. Therefore, relying on an appropriate set of background sequences is crucial for enrichment analysis. Results We developed BiasAway, a command line tool and its dedicated easy-to-use web server to generate synthetic sequences matching any k-mer nucleotide composition or select genomic DNA sequences matching the mononucleotide composition of the foreground sequences through four different models. For genomic sequences, we provide precomputed partitions of genomes from nine species with five different bin sizes to generate appropriate genomic background sequences. Availability and implementation BiasAway source code is freely available from Bitbucket (https://bitbucket.org/CBGR/biasaway) and can be easily installed using bioconda or pip. The web server is available at https://biasaway.uio.no and a detailed documentation is available at https://biasaway.readthedocs.io. Supplementary information Supplementary data are available at Bioinformatics online.

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