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Дата внесения публикации в базу 10-05-2020 08:47 не попадает в период стимулирования 01-06-2025 – 31-05-2026
КБПР (методика 2025 г.) = 1.333
Количество соавторов публикации - 5
Публикация в изданиях из Белого списка уровень: 1, K=20
Публикация в изданиях из Белого списка уровень: 1, K=20
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Орлов Ю. Л.: количество аффилиаций - 3, вклад в КБПР публикации:
формула: K/(Nсоавторов*Nаффил) = 20/(5*3) = 1.333
Статья в периодическом издании
Novel read density distribution score shows possible aligner artefacts, when mapping a single chromosome
| DOI | https://doi.org/10.1186/s12864-018-4475-6 |
|---|---|
| Язык | Английский |
| Журнал | BMC Genomics ISSN: 1471-2164; Онлайн ISSN: – |
| Год | 2018 |
| Выходные данные | том: 19; приложение: 3; статья: 92; страниц (электронный ресурс): 11 |
| Авторы | |
| Даты |
Опубликована: 09.02.2018 |
| Абстракт | Background
The use of artificial data to evaluate the performance of aligners and peak callers not only improves its accuracy and reliability, but also makes it possible to reduce the computational time. One of the natural ways to achieve such time reduction is by mapping a single chromosome.
Results
We investigated whether a single chromosome mapping causes any artefacts in the alignments’ performances. In this paper, we compared the accuracy of the performance of seven aligners on well-controlled simulated benchmark data which was sampled from a single chromosome and also from a whole genome.
We found that commonly used statistical methods are insufficient to evaluate an aligner performance, and applied a novel measure of a read density distribution similarity, which allowed to reveal artefacts in aligners’ performances.
We also calculated some interesting mismatch statistics, and constructed mismatch frequency distributions along the read.
Conclusions
The generation of artificial data by mapping of reads generated from a single chromosome to a reference chromosome is justified from the point of view of reducing the benchmarking time. The proposed quality assessment method allows to identify the inherent shortcoming of aligners that are not detected by conventional statistical methods, and can affect the quality of alignment of real data. Ключевые слова: next-generation sequencing, DNA alignment, read density distribution |
| Сведения о финансировании, указанные в публикации | |
| URL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5836841/ |
| Дополнительные сведения |
Запись создана: 10-05-2020 08:47
Последнее изменение: 13-06-2024 15:58
Библиографическая ссылка:
Naumenko F. M., Abnizova I. I., Beka N., Genaev M. A., Orlov Yu. L. Novel read density distribution score shows possible aligner artefacts, when mapping a single chromosome // BMC Genomics. 2018. Vol. 19, suppl. 3. Article no. 92 (11 p.). https://doi.org/10.1186/s12864-018-4475-6
[WoS 3.730/Q2][SCOPUS 2.110/Q1][БС 1]
Naumenko F. M., Abnizova I. I., Beka N., Genaev M. A., Orlov Yu. L. Novel read density distribution score shows possible aligner artefacts, when mapping a single chromosome // BMC Genomics. 2018. Vol. 19, suppl. 3. Article no. 92 (11 p.). https://doi.org/10.1186/s12864-018-4475-6
[WoS 3.730/Q2][SCOPUS 2.110/Q1][БС 1]
Экспертное заключение: –
Белый список
Индексация на момент включения в базу:- Уровень БС
- 1
Web of Science
- Статус
- Да
- Импакт-фактор/Квартиль(год)
- 3.730/Q2 (2017)
- Идентификатор
- 000424782900010
- Статус
- Да
- Импакт-фактор/Квартиль(год)
- 2.110/Q1 (2018)
- Идентификатор
- 2-s2.0-85041837055


