Changes in fastsimcoal25 relative to fastsimcoal21 (August 2014)

New features

1. The fastsimcoal2 program ver2.5 has been renamed fsc25 (shorter name is better)
2. Use of a different random number generator (same seed will produce different results than in fastsimcoal21)
3. Code optimization resulting in up to 1-75% speed gain for single threaded version (see benchmark)
4. Multithreading (64 bit only), for  more speed gain on  a multicore processor desktop machine (see benchmark)
5. Result files for parameter estimation now output in separate result directory
6. More options to generate SNP data
7. New specification for MAF SFS
8. Added a version for macOSX running in earlier versions (e.g. from 10.6 upwards) (thanks to Iain Mathieson)
9. More tolerant reading of input files (thanks to Allan Strand)
10. Rules in est files can now be used for parameter estimations

Bug corrections in fsc25 relative to fsc21

1. Corrected bug where maximum number of simulations was set to lower number of simulations during Brent optimization 
   
2. Program crashed when trying to compute SFS when too many polymorphic sites need to be kept in memory (this number can be changed with -k option)
3. Solved problems when multiple parameter definitions are listed in def files
4. Corrected bug preventing recombination to be simulated when several block structures were defined in par file (thanks to Thomas Willems)
5. Incorrect computatin of likelihood when using fractional numbers i observed SFS (thanks to Andreas Kautt)

Bug corrections in ver 2.5.0.2 (August 2014)

1. Growth rates was inactivated in ver 2.5.0, and all simulatins were perfromed with a constant size population (thanks to Melissa Wilson Sayres for pointing this out)

Bug corrections  and modifications in ver 2.5.1  (October 2014)

1. Example files are back in zip files (thanks to Alfredo)
2. Description of the exact format of the multiSFS format has been modified in the manual (thanks to Vitor Sousa and Raphael Leblois)
3. Problem in implementing recombination with multiple runs (option -nx where x>1) (thanks to Vitor Sousa and Yang)
4. More precision on branch length  when outputing tree in NEXUS format (thanks to Shuo Yang)
   
5. New faster way to implement recombination under the SMC' algorithm and its extension to multiple recombinations between sites

Bug corrections  and modifications in ver 2.5.2  (March 2015)

1.      Bug corrections:

• fsc251 asked for a joint SFS when two populations samples were listed in tpl file but only one contained active lineages. Bug found by Charleston Chiang.
• TMRCA was not found in case of recombination and demes with some inactive lineages. Bug found by Ryan Bohlender)
• fsc251 was not generating output files when path was provided before input file names (par or tpl).Note that fsc25 should always be run from the directory containing the input files, even though the program can be can be physically located elsewhere. Bug found by Greer Dolby.
• fsc251 was not taking into account growth rate changes specified in historical events (bug introduced in 2.5.1, and it was not present in ver 2.5.0).

2. –k option has no upper limit anymore, and its default value is 100,000
3. Added new –P command line option, allowing to get the global pooled SFS obtained by pooling all lineages as if in a single population
4. Added two new operators in est file for complex parameters: %min% and %max%
5. Added new functions in est files for complex parameters: abs(), exp(), log(), log10(), pow10()
6. Added a new "bounded" keyword in est file to specify that the upper range of a simple parameter is bounded. Needs to be listed after the "output" or "hide" keywords.
7. Added two new keywords for historical events: "keep" and "nomig".
8. Expected joint SFS is now rescaled such that the sum of sfs entries for polymorphic sites is 1. This shoudl lead to more exact lhood computation from multiple 2D SFS.

Bug corrections  and modifications in ver 2.5.2.8  (May 2015)

1.      Bug corrections:

• ncorrect simulation of mutations in case of high recombination rates. There was a strong negative correlation between the recombination rate and the number of polymorphic loci, when adjacent sites were the object of recombination. The number of mutation was underestimated for recombination rates, say >1e-7. This bug affected ALL previous fsc releases
• Possible overestimation of TMRCA and overall tree size in case of recombination. Bug present since early fsc2 release.
• Crash of fsc2 in case of very high recombination rate with DNA da
• Incorrect writing of recombination positions in output arp file when simulating several threads
• maxObsLhood was not correctly computed when estimation of parameters in a scenario with a single population
• Change of migration matrix not implemented after first recombination (thanks to Stefano Mona)
• Computation of MAF SFS incorrect in case of multiple mutations per site ( when -I option not provided and high mutation rates) (thanks to Jason Weir).

2. Speed optimization
3. Output of random DNA nucleotides instead of N for monomorphic loci with the –S option.
4. Possibility to run fsc without command line option if file "fsc_run.txt" is present and contains run path and command line options in current working directory

Bug corrections in ver 2.5.2.11  (7 June 2015)

1.      Bug corrections:

• Potential crash of fsc2528 due to -Ofast compiler (bad comparison of floating point variables) (thanks to Jason Weir)
  
• Bad estimation of lhood in case of non-integer observed sfs (thanks to Andi Knautt)

Changes in fastsimcoal21 relative to fastsimcoal2 (December 2013)

New features

1. 64 bit windows version of fastsimcoal2 (20% speed gain compared to 32 bit version!)
   
2. Modified output of monomorphic samples.  By default, fastsimcoal2 only outputs polymorphic sites for DNA data. If the coalescent tree is too shallow, no mutation can occur on a given tree. In that case, fastsimcoal2 now outputs a single loci with "N" for all individual instead of missing data in arlequin files (*.arp).  This change prevents a bug when analysing simulated arlequin files with arlsumstat.
3. Optional use of a manual seed for the random number generator (--seed xxx command line option)
4. Outputs par file with estimated maximum likelihood parameters. This file can be used to generate pseudo-observed SFS to estimate parametric bootstrap confidence intervals around the ML parameters.
   

Bug corrections

1. With -s0 option, the number of reported polymorphic sites in file "<file_name>_numPolymSites.obs" was incorrectly set to zero and the maximum likelihood reported in the file "<file_name>.lhoodObs" was set to INF. These two problems are now corrrected.
   
2. Multiple whitespace or multiple tabs between parameters in historical events caused erratic behavior. Multiple separators are now allowed in historical events.
3. When estimating a single parameter from the SFS, the number of performed ECM loops could be smaller (usually 2) than the required minimum.
   

Changes in fastsimcoal2 relative to fastsimcoal

New features

1. Optional output of all simulated sites (including monomorphic sites) (-S command line option)
2. Optional use of a manual seed for the random number generator (--seed xxx command line option)
3. Simulation of ascertained SNP data
4. Generation of the (joint) site frequency spectrum (SFS) from DNA sequence data
5. Generation of multidimensional (>2D) SFS
6. Generation of Nexus coalescent trees with branch lengths now expressed in fractions of generations (e.g. 1205.123)
   
7. Ability to estimate demographic parameters from the site frequency spectrum inferred from DNA sequences or ascertained SNP chips
8. Need to specify number of SNPs to output with -s option (specify 0 to output all SNPs)

Bug corrections

1. Potential crash when generating scenarios with historical events and  recombination 
2. Crash when simulation of samples of size zero and recombination
3. The pattern of polymorphisms obtained in a population for a given past demography changed depending or not if  other samples were simulated as well, in presence of recombination
   
4. Non-convergence to the MRCA when simulating serial samples of age zero

Last updated by L. Excoffier on 30.05.2015