MERIT reveals the impact of genomic context on sequencing error rate in ultra-deep applications

Autor: Mohammad Hadigol, Hossein Khiabanian

Publikováno v: BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)

Abstract Background Rapid progress in high-throughput sequencing (HTS) and the development of novel library preparation methods have improved the sensitivity of detecting mutations in heterogeneous samples, specifically in high-depth (> 500×) clinic

Externí odkaz: https://doaj.org/article/24d8a174dee2424dba431b2aa8f5ff5b

Critical Relevance of Stochastic Effects on Low-Bacterial-Biomass 16S rRNA Gene Analysis

Autor: Christopher A. Brown, John R. Erb-Downward, Lisa McCloskey, Sara D. Adar, Kathleen A. Stringer, Nicole R. Falkowski, Christine M. Freeman, Robert P. Dickson, Kerby Shedden, Gary B. Huffnagle, Betsy Foxman, Jeffrey L. Curtis, Roderick A. McDonald, Jennifer D'Souza

Publikováno v: mBio
mBio, Vol 11, Iss 3, p e00258-20 (2020)
mBio, Vol 11, Iss 3 (2020)

DNA contamination from external sources (reagents, environment, operator, etc.) has long been assumed to be the main cause of spurious signals that appear under low-bacterial-biomass conditions. Here, we demonstrate that contamination can be separate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758e4694944ab9378b39f9528ff05633
https://pubmed.ncbi.nlm.nih.gov/32518181

Storing Digital Data Into DNA: A Comparative Study Of Quaternary Code Construction

Autor: Pascal Barbry, Marc Antonini, Raja Appuswamy, Melpomeni Dimopoulou

Publikováno v: ICASSP
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE Xplore
ICASSP 2020
ICASSP 2020, May 2020, Barcelona, Spain. ⟨10.1109/ICASSP40776.2020.9054654⟩

International audience; The exponential increase of digital data that is being generated every year along with the capacity and durability limits of conventional storage devices are raising one of the greatest challenges for the field of data storage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f038dc5f4af3a0b1c9d1b3e596c604f2
https://doi.org/10.1109/icassp40776.2020.9054654

MERIT reveals the impact of genomic context on sequencing error rate in ultra-deep applications

Autor: Hossein Khiabanian, Mohammad Hadigol

Publikováno v: BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)

Background Rapid progress in high-throughput sequencing (HTS) and the development of novel library preparation methods have improved the sensitivity of detecting mutations in heterogeneous samples, specifically in high-depth (> 500×) clinical applic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79ada11aa03abb9e5c89640c40bdc3f5
https://pubmed.ncbi.nlm.nih.gov/29884116

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