selkamand / sigstash

Easily load published mutational signatures into R

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selkamand opened this issue · comments

Add DOIs to be cited when using each signature collection. For cosmic can look for all unique studies used to either identify / experimentally validate signatures from the annotation files

Note that JUST for Cosmic V3 SBS mutations, the cosmic signatures themselves AND the aetiologies / validation work come from 36 different papers. Most of the time when signatures are used, they are used as an entire collection. Its not feasable for most end-users to cite all of these papers due to upper limits on reference list sizes. So we need to figure out the best way to cite the signature collections ...

Alexandrov et al. 2013 Nature
Alexandrov et al. 2015 Nature Genetics
Alexandrov et al. 2020 Nature
Boot et al. 2018 Genome Research
Boot et al. 2019 BioRxiv
Boot et al. 2020 Genome Research
Chan et al. 2015 Nature Genetics
Chawanthayatham et al. 2017 PNAS
Christensen et al. 2019 Nature Communications
Costello et al. 2013, Nucleic Acid Research
Drost et al. 2017 Science
Hayward et al. 2017 Nature
Hoang et al. 2013 Sci Trans Med
Hodel et al. 2020 Molecular Cell
Inman et al. 2018 Nature Communications
Islam et al. 2022 Cell Genomics
Kasar et al. 2015 Nature Communications
Kucab et al. 2019 Cell
Lawson et al. 2020 Science
Lee-Six et al. 2019 Nature
Li et al. 2018 J Clin Invest
Li et al. 2020 Blood
Meier et al. 2018 Genome Research
Mimaki et al. 2016 Carcinogenesis
Nik-Zainal et al. 2012 Cell
Nik-Zainal et al. 2015 Mutagenesis
Nik-Zainal et al. 2016 Nature
Pilati et al. 2017 Journal of Pathology
Pleguezuelos-Manzano et al. 2020 Nature
Poon et al. 2013 Sci Trans Med
Priestley et al. 2019 Nature
Robinson et al. 2021 Nature Genetics
Saini et al. 2016 PLoS Genetics
Secrier et al. 2016 Nature Genetics
Viel et al. 2017 EBioMedicine
Zámborszky et al. 2017 Oncogene