Somatic variant calling from single-cell DNA sequencing data

Autor: Monica Valecha, David Posada

Publikováno v: Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 2978-2985 (2022)

Single-cell sequencing has gained popularity in recent years. Despite its numerous applications, single-cell DNA sequencing data is highly error-prone due to technical biases arising from uneven sequencing coverage, allelic dropout, and amplification

Externí odkaz: https://doaj.org/article/39b6269b502d4053b6454e9241f11ad7

Systematic evaluation of signal-to-noise ratio in variant detection from single cell genome multiple displacement amplification and exome sequencing

Autor: Anita T. Simonsen, Marcus C. Hansen, Eigil Kjeldsen, Peter L. Møller, Johnny J. Hindkjær, Peter Hokland, Anni Aggerholm

Publikováno v: BMC Genomics, Vol 19, Iss 1, Pp 1-9 (2018)

Abstract Background The current literature on single cell genomic analyses on the DNA level is conflicting regarding requirements for cell quality, amplification success rates, allelic dropouts and resolution, lacking a systematic comparison of multi

Externí odkaz: https://doaj.org/article/f9324b4dc0d94ba3be4b888025d15cfc

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

CellCoal: coalescent simulation of single-cell sequencing samples

Autor: David Posada

Publikováno v: Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Molecular Biology and Evolution

Our capacity to study individual cells has enabled a new level of resolution for understanding complex biological systems such as multicellular organisms or microbial communities. Not surprisingly, several methods have been developed in recent years

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::445c33e5d1bc6354e6d3f73c099d33ba
http://hdl.handle.net/11093/2280

Systematic evaluation of signal-to-noise ratio in variant detection from single cell genome multiple displacement amplification and exome sequencing

Autor: Johnny Juhl Hindkjær, Marcus Celik Hansen, Eigil Kjeldsen, Peter Hokland, Peter L. Møller, Anita Tranberg Simonsen, Anni Aggerholm

Publikováno v: BMC Genomics, Vol 19, Iss 1, Pp 1-9 (2018)
Simonsen, A T, Hansen, M C, Kjeldsen, E, Møller, P L, Hindkjær, J J, Hokland, P & Aggerholm, A 2018, ' Systematic evaluation of signal-to-noise ratio in variant detection from single cell genome multiple displacement amplification and exome sequencing ', BMC Genomics, vol. 19, no. 1, 681 . https://doi.org/10.1186/s12864-018-5063-5

BACKGROUND: The current literature on single cell genomic analyses on the DNA level is conflicting regarding requirements for cell quality, amplification success rates, allelic dropouts and resolution, lacking a systematic comparison of multiple cell

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78bc3b961e9b9dfdc578b4b19c99e264
http://link.springer.com/article/10.1186/s12864-018-5063-5