| Title |
OMA and OPA—Software-Supported Mass Spectra Analysis of Native and Modified Nucleic Acids
|
|---|---|
| Published in |
Journal of the American Society for Mass Spectrometry, December 2012
|
| DOI | 10.1007/s13361-012-0529-1 |
| Pubmed ID | |
| Authors |
Adrien Nyakas, Lorenz C. Blum, Silvan R. Stucki, Jean-Louis Reymond, Stefan Schürch |
| Abstract |
The platform-independent software package consisting of the oligonucleotide mass assembler (OMA) and the oligonucleotide peak analyzer (OPA) was created to support the analysis of oligonucleotide mass spectra. It calculates all theoretically possible fragments of a given input sequence and annotates it to an experimental spectrum, thus, saving a large amount of manual processing time. The software performs analysis of precursor and product ion spectra of oligonucleotides and their analogues comprising user-defined modifications of the backbone, the nucleobases, or the sugar moiety, as well as adducts with metal ions or drugs. The ability to expand the library of building blocks and to implement individual structural variations makes it extremely useful for supporting the analysis of therapeutically active compounds. The functionality of the software tool is demonstrated on the examples of a platinated double-stranded oligonucleotide and a modified RNA sequence. Experiments also reveal the unique dissociation behavior of platinated higher-order DNA structures. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 14 | 45% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Agricultural and Biological Sciences | 3 | 10% |
| Unspecified | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2013.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#2,290
of 3,834 outputs
Outputs of similar age
#171,741
of 288,776 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#10
of 12 outputs
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So far Altmetric has tracked 3,834 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.