The analysis of genetic diversity within species is vital for understanding evolutionary processes at the population level and at the genomic level. A large quantity of data can now be produced at an unprecedented rate, requiring the use of dedicated computer programs to extract all embedded information. Several statistical packages have been recently developed, which offer a panel of standard and more sophisticated analyses. We describe here the functionalities, special features and assumptions of more than 20 such programs, indicate how they can interoperate, and discuss new directions that could lead to improved software and analyses.
机构:
UNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLANDUNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLAND
Beaumont, MA
Nichols, RA
论文数: 0引用数: 0
h-index: 0
机构:
UNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLANDUNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLAND
机构:
UNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLANDUNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLAND
Beaumont, MA
Nichols, RA
论文数: 0引用数: 0
h-index: 0
机构:
UNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLANDUNIV LONDON QUEEN MARY & WESTFIELD COLL, SCH BIOL SCI, LONDON E1 4NS, ENGLAND