Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Stacks 2: Analytical methods for paired-end sequencing improve RADseq-based population genomics
Nicolas C. Rochette
, Angel G. Rivera-Colón
,
Julian M. Catchen
Evolution, Ecology, and Behavior
Carl R. Woese Institute for Genomic Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Stacks 2: Analytical methods for paired-end sequencing improve RADseq-based population genomics'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Analytical Method
100%
SNP
100%
Population Genomics
100%
Paired-end Sequencing
100%
RAD-seq
100%
Highly Accurate
50%
Genotype
50%
De Bruijn Graph
50%
Robust Algorithm
50%
Assembler
50%
Massively Parallel
50%
Paired-end
50%
Short-read Sequencing
50%
Genetic Knowledge
50%
New Architecture
50%
Metapopulation
50%
Caller
50%
Natural World
50%
Population Genetic Studies
50%
Read Alignment
50%
Type II Restriction Endonuclease
50%
Biochemistry, Genetics and Molecular Biology
Genotyping
100%
Single Nucleotide Polymorphism
100%
Contig
100%
Population Genomics
100%
Genetics
50%
Haplotype
50%
Enzyme
50%
Population Genetics
50%
Restriction Modification System
50%