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VariantSpark: Cloud-based machine learning for association study of complex phenotype and large-scale genomic data.
Published in:
GigaScience, 2020, v. 9, n. 8, p. 1, doi. 10.1093/gigascience/giaa077
By:
- Bayat, Arash;
- Szul, Piotr;
- O'Brien, Aidan R;
- Dunne, Robert;
- Hosking, Brendan;
- Jain, Yatish;
- Hosking, Cameron;
- Luo, Oscar J;
- Twine, Natalie;
- Bauer, Denis C
Publication type:
Article
Response to correspondence on "Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation".
Published in:
Genome Biology, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s13059-021-02320-3
By:
- Gurumurthy, Channabasavaiah B.;
- O'Brien, Aidan R.;
- Quadros, Rolen M.;
- Adams, John;
- Alcaide, Pilar;
- Ayabe, Shinya;
- Ballard, Johnathan;
- Batra, Surinder K.;
- Beauchamp, Marie-Claude;
- Becker, Kathleen A.;
- Bernas, Guillaume;
- Brough, David;
- Carrillo-Salinas, Francisco;
- Chan, Wesley;
- Chen, Hanying;
- Dawson, Ruby;
- DeMambro, Victoria;
- D'Hont, Jinke;
- Dibb, Katharine;
- Eudy, James D.
Publication type:
Article
VariantSpark: population scale clustering of genotype information.
Published in:
BMC Genomics, 2015, v. 16, p. 1, doi. 10.1186/s12864-015-2269-7
By:
- O'Brien, Aidan R.;
- Saunders, Neil F. W.;
- Yi Guo;
- Buske, Fabian A.;
- Scott, Rodney J.;
- Bauer, Denis C.
Publication type:
Article
Domain-specific introduction to machine learning terminology, pitfalls and opportunities in CRISPR-based gene editing.
Published in:
Briefings in Bioinformatics, 2021, v. 22, n. 1, p. 308, doi. 10.1093/bib/bbz145
By:
- O'Brien, Aidan R;
- Burgio, Gaetan;
- Bauer, Denis C
Publication type:
Article
The Current State and Future of CRISPR-Cas9 gRNA Design Tools.
Published in:
Frontiers in Pharmacology, 2018, p. N.PAG, doi. 10.3389/fphar.2018.00749
By:
- Wilson, Laurence O. W.;
- O’Brien, Aidan R.;
- Bauer, Denis C.
Publication type:
Article
Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning.
Published in:
Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-019-39142-0
By:
- O'Brien, Aidan R.;
- Wilson, Laurence O. W.;
- Burgio, Gaetan;
- Bauer, Denis C.
Publication type:
Article
Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation.
Published in:
Genome Biology, 2019, v. 20, n. 1, p. N.PAG, doi. 10.1186/s13059-019-1776-2
By:
- Gurumurthy, Channabasavaiah B.;
- O'Brien, Aidan R.;
- Quadros, Rolen M.;
- Adams, John;
- Alcaide, Pilar;
- Ayabe, Shinya;
- Ballard, Johnathan;
- Batra, Surinder K.;
- Beauchamp, Marie-Claude;
- Becker, Kathleen A.;
- Bernas, Guillaume;
- Brough, David;
- Carrillo-Salinas, Francisco;
- Chan, Wesley;
- Chen, Hanying;
- Dawson, Ruby;
- DeMambro, Victoria;
- D'Hont, Jinke;
- Dibb, Katharine M.;
- Eudy, James D.
Publication type:
Article

Found: 7

VariantSpark: Cloud-based machine learning for association study of complex phenotype and large-scale genomic data.

Response to correspondence on "Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation".

VariantSpark: population scale clustering of genotype information.

Domain-specific introduction to machine learning terminology, pitfalls and opportunities in CRISPR-based gene editing.

The Current State and Future of CRISPR-Cas9 gRNA Design Tools.

Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning.

Reproducibility of CRISPR-Cas9 methods for generation of conditional mouse alleles: a multi-center evaluation.