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ngsTools
: methods for population genetics analyses from next-generation sequencing data
Matteo Fumagalli,
Filipe Jorge Garrett Vieira
, Tyler Linderoth,
Rasmus Nielsen
Computational and RNA Biology
113
Citations (Scopus)
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ngsTools
: methods for population genetics analyses from next-generation sequencing data'. Together they form a unique fingerprint.
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Engineering & Materials Science
Population Genetics
100%
Polymorphism
83%
Nucleotides
83%
Uncertainty
41%
Genomics
34%
Sampling
23%
Chemical analysis
21%
Medicine & Life Sciences
Population Genetics
82%
High-Throughput Nucleotide Sequencing
64%
Genotype
48%
Uncertainty
41%
Single Nucleotide Polymorphism
37%
Heterozygote
23%
Base Pairing
22%
Genome
15%
Technology
14%
Mathematics
Population Genetics
80%
Sequencing
80%
Genotype
39%
Single nucleotide Polymorphism
32%
Uncertainty
18%
Data Depth
17%
Probabilistic Methods
13%
Random Sampling
13%
Alignment
12%
Genome
12%
Coverage
11%
Assignment
10%
Chemical Compounds
Sampling
55%
Error
50%