:: DESCRIPTION
Baescs is a Bayesian approach to estimate calibration curves and unknown concentrations in immunoassays.
::DEVELOPER
The Center for Computational Immunology
:: SCREENSHOTS
::REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Feng Feng; Ana Paula Sales; Thomas B. Kepler :
A Bayesian approach for estimating calibration curves and unknown concentrations in immunoassays.
Bioinformatics (2011) 27 (5): 707-712.
:: DESCRIPTION
DatasetAssess is a tool to estimate error rates in high-throughput protein interaction datasets and other functional genomic data.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Gilchrist, M.A., Salter, L.A., Wagner, A. (2004)
A statistical framework for combining and interpreting proteomic datasets.
Bioinformatics 20, 689-700
:: DESCRIPTION
RVsharing computes the probability that a rare variant is shared by related subjects, given that the variant was observed in any of them.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Inferring rare disease risk variants based on exact probabilities of sharing by multiple affected relatives.
Bureau A, Younkin SG, Parker MM, Bailey-Wilson JE, Marazita ML, Murray JC, Mangold E, Albacha-Hejazi H, Beaty TH, Ruczinski I.
Bioinformatics. 2014 Apr 16. pii: btu198.
:: DESCRIPTION
COANCESTRY is a computer program that implements 7 methods to estimate the pairwise relatedness between individuals and 4 methods to estimate individual inbreeding coefficients, using individual genotypes at a set of marker loci.
:: DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
COANCESTRY: a program for simulating, estimating and analysing relatedness and inbreeding coefficients.
Wang J.
Mol Ecol Resour. 2011 Jan;11(1):141-5. doi: 10.1111/j.1755-0998.2010.02885.x.
:: DESCRIPTION
AgeStructure is a computer program for estimating the generation interval, effective size, variances and covariances of lifetime number of offspring of an age structured population with overlapping generations.
:: DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Wang, J., Brekke, P. , Huchard, E., Knapp, L. A. , Cowlishaw, G. 2010.
Estimation of parameters of inbreeding and genetic drift in populations with overlapping generations.
Evolution, 64, 1704–1718.
:: DESCRIPTION
Mash is a software of fast genome and metagenome distance estimation using MinHash
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Genome Biol, 17 (1), 132
Mash: Fast Genome and Metagenome Distance Estimation Using MinHash
Brian D Ondov , Todd J Treangen , Páll Melsted , Adam B Mallonee , Nicholas H Bergman , Sergey Koren , Adam M Phillippy
:: DESCRIPTION
mlRho takes as input a file with assembled reads from a single diploid individual and returns maximum likelihood estimates of the population mutation rate, 
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
B. Haubold, P. Pfaffelhuber, and M. Lynch.
mlRho: A program for estimating the population mutation and recombination rates from shotgun-sequenced diploid genomes.
Molecular Ecology, 19:277-284, 2010.
:: DESCRIPTION
iAdmix is a program to estimate individual admixture proportions from DNA sequencing experiments (exome sequencing, targeted sequencing, low coverage whole-genome sequencing or genotyping)
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BMC Bioinformatics. 2015 Jan 16;16(1):4.
Fast individual ancestry inference from DNA sequence data leveraging allele frequencies for multiple populations.
Bansal V, Libiger O.
:: DESCRIPTION
Adapt-A-Rate is a program to estimate the rate of adaptive fixation in a population from sequences sampled at different points in time.
::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
Bhatt S, Holmes EC, Pybus OG (2011)
The genomic rate of molecular adaptation of the human influenza A virus.
Molecular Biology & Evolution In press
:: DESCRIPTION
CoNe computes the likelihood of Ne given data on two temporally spaced genetic samples. The statistical model used is based on the coalescent of the gene copies drawn in the second sample, as described in Berthier et al. (Genetics 2003, 160:741-51). The Monte Carlo computations to compute the likelihood, however, were developed by Eric Anderson, and are orders of magnitude faster than previous implementations.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Anderson, E. C.2005.
An efficient Monte Carlo method for estimating Ne from temporally spaced samples using a coalescent-based likelihood.
Genetics 170(2):955-967.
