239 related articles for article (PubMed ID: 28108551)
1. Genotype Calling from Population-Genomic Sequencing Data.
Maruki T; Lynch M
G3 (Bethesda); 2017 May; 7(5):1393-1404. PubMed ID: 28108551
[TBL] [Abstract][Full Text] [Related]
2. Genotype-Frequency Estimation from High-Throughput Sequencing Data.
Maruki T; Lynch M
Genetics; 2015 Oct; 201(2):473-86. PubMed ID: 26224735
[TBL] [Abstract][Full Text] [Related]
3. Fast and accurate estimation of multidimensional site frequency spectra from low-coverage high-throughput sequencing data.
Mas-Sandoval A; Pope NS; Nielsen KN; Altinkaya I; Fumagalli M; Korneliussen TS
Gigascience; 2022 May; 11():. PubMed ID: 35579549
[TBL] [Abstract][Full Text] [Related]
4. Low-depth genotyping-by-sequencing (GBS) in a bovine population: strategies to maximize the selection of high quality genotypes and the accuracy of imputation.
Brouard JS; Boyle B; Ibeagha-Awemu EM; Bissonnette N
BMC Genet; 2017 Apr; 18(1):32. PubMed ID: 28381212
[TBL] [Abstract][Full Text] [Related]
5. PhredEM: a phred-score-informed genotype-calling approach for next-generation sequencing studies.
Liao P; Satten GA; Hu YJ
Genet Epidemiol; 2017 Jul; 41(5):375-387. PubMed ID: 28560825
[TBL] [Abstract][Full Text] [Related]
6. Estimation of allele frequency and association mapping using next-generation sequencing data.
Kim SY; Lohmueller KE; Albrechtsen A; Li Y; Korneliussen T; Tian G; Grarup N; Jiang T; Andersen G; Witte D; Jorgensen T; Hansen T; Pedersen O; Wang J; Nielsen R
BMC Bioinformatics; 2011 Jun; 12():231. PubMed ID: 21663684
[TBL] [Abstract][Full Text] [Related]
7. Using genotype array data to compare multi- and single-sample variant calls and improve variant call sets from deep coverage whole-genome sequencing data.
Shringarpure SS; Mathias RA; Hernandez RD; O'Connor TD; Szpiech ZA; Torres R; De La Vega FM; Bustamante CD; Barnes KC; Taub MA;
Bioinformatics; 2017 Apr; 33(8):1147-1153. PubMed ID: 28035032
[TBL] [Abstract][Full Text] [Related]
8. Likelihood-based complex trait association testing for arbitrary depth sequencing data.
Yan S; Yuan S; Xu Z; Zhang B; Zhang B; Kang G; Byrnes A; Li Y
Bioinformatics; 2015 Sep; 31(18):2955-62. PubMed ID: 25979475
[TBL] [Abstract][Full Text] [Related]
9. Generation of SNP datasets for orangutan population genomics using improved reduced-representation sequencing and direct comparisons of SNP calling algorithms.
Greminger MP; Stölting KN; Nater A; Goossens B; Arora N; Bruggmann R; Patrignani A; Nussberger B; Sharma R; Kraus RH; Ambu LN; Singleton I; Chikhi L; van Schaik CP; Krützen M
BMC Genomics; 2014 Jan; 15():16. PubMed ID: 24405840
[TBL] [Abstract][Full Text] [Related]
10. Hybrid peeling for fast and accurate calling, phasing, and imputation with sequence data of any coverage in pedigrees.
Whalen A; Ros-Freixedes R; Wilson DL; Gorjanc G; Hickey JM
Genet Sel Evol; 2018 Dec; 50(1):67. PubMed ID: 30563452
[TBL] [Abstract][Full Text] [Related]
11. High-specificity detection of rare alleles with Paired-End Low Error Sequencing (PELE-Seq).
Preston JL; Royall AE; Randel MA; Sikkink KL; Phillips PC; Johnson EA
BMC Genomics; 2016 Jun; 17():464. PubMed ID: 27301885
[TBL] [Abstract][Full Text] [Related]
12. Fast imputation using medium or low-coverage sequence data.
VanRaden PM; Sun C; O'Connell JR
BMC Genet; 2015 Jul; 16():82. PubMed ID: 26168789
[TBL] [Abstract][Full Text] [Related]
13. Comparing variant calling algorithms for target-exon sequencing in a large sample.
Lo Y; Kang HM; Nelson MR; Othman MI; Chissoe SL; Ehm MG; Abecasis GR; Zöllner S
BMC Bioinformatics; 2015 Mar; 16():75. PubMed ID: 25884587
[TBL] [Abstract][Full Text] [Related]
14. Benchmarking the performance of Pool-seq SNP callers using simulated and real sequencing data.
Guirao-Rico S; González J
Mol Ecol Resour; 2021 May; 21(4):1216-1229. PubMed ID: 33534960
[TBL] [Abstract][Full Text] [Related]
15. Linkage Disequilibrium Estimation in Low Coverage High-Throughput Sequencing Data.
Bilton TP; McEwan JC; Clarke SM; Brauning R; van Stijn TC; Rowe SJ; Dodds KG
Genetics; 2018 Jun; 209(2):389-400. PubMed ID: 29588288
[TBL] [Abstract][Full Text] [Related]
16. Assessing single nucleotide variant detection and genotype calling on whole-genome sequenced individuals.
Cheng AY; Teo YY; Ong RT
Bioinformatics; 2014 Jun; 30(12):1707-13. PubMed ID: 24558117
[TBL] [Abstract][Full Text] [Related]
17. Improvement in detection of minor alleles in next generation sequencing by base quality recalibration.
Ni S; Stoneking M
BMC Genomics; 2016 Feb; 17():139. PubMed ID: 26920804
[TBL] [Abstract][Full Text] [Related]
18. Evaluating Imputation Algorithms for Low-Depth Genotyping-By-Sequencing (GBS) Data.
Chan AW; Hamblin MT; Jannink JL
PLoS One; 2016; 11(8):e0160733. PubMed ID: 27537694
[TBL] [Abstract][Full Text] [Related]
19. SiNPle: Fast and Sensitive Variant Calling for Deep Sequencing Data.
Ferretti L; Tennakoon C; Silesian A; Ribeca GFA
Genes (Basel); 2019 Jul; 10(8):. PubMed ID: 31349684
[TBL] [Abstract][Full Text] [Related]
20. Population genomics based on low coverage sequencing: how low should we go?
Alex Buerkle C; Gompert Z
Mol Ecol; 2013 Jun; 22(11):3028-35. PubMed ID: 23174005
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
