An Algorithm for the DNA Sequence Generation from k-Tuple Word Contents of the Minimal Number of Random Fragments

1991 ◽  
Vol 8 (5) ◽  
pp. 1085-1102 ◽  
Author(s):  
R. Drmanac ◽  
I. Labat ◽  
R. Crkvenjakov
Keyword(s):  
Dna Sequence ◽  
Sequence Generation

scholarly journals An Evolution Based Biosensor Receptor DNA Sequence Generation Algorithm

Sensors ◽  
2009 ◽  
Vol 10 (1) ◽  
pp. 330-341 ◽  
Author(s):  
Eungyeong Kim ◽  
Malrey Lee ◽  
Thomas Gatton ◽  
Jaewan Lee ◽  
Yupeng Zang
Keyword(s):  
Dna Sequence ◽  
Generation Algorithm ◽  
Sequence Generation

scholarly journals A broad survey of DNA sequence data simulation tools

2019 ◽  
Vol 19 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Shatha Alosaimi ◽  
Armand Bandiang ◽  
Noelle van Biljon ◽  
Denis Awany ◽  
Prisca K Thami ◽  
...  
Keyword(s):  
Dna Sequence ◽  
Sequence Data ◽  
Unified Framework ◽  
Data Simulation ◽  
Simulation Tools ◽  
Dna Sequence Data ◽  
Sequence Generation ◽  
Simulation Scenario ◽  
Sequence Simulation ◽  
The Given

Abstract In silico DNA sequence generation is a powerful technology to evaluate and validate bioinformatics tools, and accordingly more than 35 DNA sequence simulation tools have been developed. With such a diverse array of tools to choose from, an important question is: Which tool should be used for a desired outcome? This question is largely unanswered as documentation for many of these DNA simulation tools is sparse. To address this, we performed a review of DNA sequence simulation tools developed to date and evaluated 20 state-of-art DNA sequence simulation tools on their ability to produce accurate reads based on their implemented sequence error model. We provide a succinct description of each tool and suggest which tool is most appropriate for the given different scenarios. Given the multitude of similar yet non-identical tools, researchers can use this review as a guide to inform their choice of DNA sequence simulation tool. This paves the way towards assessing existing tools in a unified framework, as well as enabling different simulation scenario analysis within the same framework.

DNA sequence mapping in interphase and metaphase chromosomes by fluorescence in situ hybridization

1992 ◽  
Vol 50 (1) ◽  
pp. 496-497
Author(s):  
Barbara Trask ◽  
Susan Allen ◽  
Anne Bergmann ◽  
Mari Christensen ◽  
Anne Fertitta ◽  
...  
Keyword(s):  
In Situ Hybridization ◽  
Dna Sequence ◽  
Dna Sequences ◽  
Dual Band ◽  
Nick Translation ◽  
Metaphase Chromosomes ◽  
Band Pass ◽  
Texas Red ◽  
Fluorescent Spot

Using fluorescence in situ hybridization (FISH), the positions of DNA sequences can be discretely marked with a fluorescent spot. The efficiency of marking DNA sequences of the size cloned in cosmids is 90-95%, and the fluorescent spots produced after FISH are ≈0.3 μm in diameter. Sites of two sequences can be distinguished using two-color FISH. Different reporter molecules, such as biotin or digoxigenin, are incorporated into DNA sequence probes by nick translation. These reporter molecules are labeled after hybridization with different fluorochromes, e.g., FITC and Texas Red. The development of dual band pass filters (Chromatechnology) allows these fluorochromes to be photographed simultaneously without registration shift.

Phylogenetic relationships ofSalvia(Lamiaceae) in China: Evidence from DNA sequence datasets

2012 ◽  
pp. n/a-n/a
Author(s):  
Qian-Quan Li ◽  
Min-Hui Li ◽  
Qing-Jun Yuan ◽  
Zhan-Hu Cui ◽  
Lu-Qi Huang ◽  
...  
Keyword(s):  
Dna Sequence ◽  
Phylogenetic Relationships
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