[0.7.3] - 2019-08-03¶
[0.7.2] - 2019-07-30¶
- The random trajectory has been changed slightly to improve handling of ancient sampling events (#782). Thus, simulations for a given random seed will not be identical to previous versions, if ancient samples are used.
- Automated Docker builds (@agladstein; #661)
- Add mean coalescence time to DemographyDebugger (@petrelharp; #779).
- Improve MassMigration descriptions in DemographyDebugger (@marianne-aspbury; #791).
[0.7.1] - 2019-06-08¶
- Discrete Time Wright-Fisher simulation model (@DomNelson).
- SMC/SMC’ simulation models (@jeromekelleher).
- Mixed simulation models (@jeromekelleher).
end_timeto allow early-finish for simulations (@jeromekelleher).
- Calculation of historical coalescence rates in the DemographyDebugger (@jgallowa07, @petrelharp).
- Additional information on population sizes in DemographyDebugger (@andrewkern).
- Remove support for Python 2 (@hugovk).
- Allow specifying metadata for populations (@jeromekelleher).
[0.7.1b1] - 2019-05-31¶
Early release making DTWF code available to beta testers.
[0.7.0] - 2019-02-19¶
Separation of tskit from msprime. Msprime is now solely dedicated to simulating the coalescent, and all infrastucture for working with succinct tree sequences is now provided by tskit. To ensure compatability, msprime now imports code from tskit under the old names, which should ensure that all code continues to work without changes.
- Fix deprecation warning (#695).
[0.7.0a1] - 2019-01-14¶
Alpha release for testing the tskit/msprime split.
[0.6.2] - 2018-12-04¶
Minor bugfix release.
New features: - Add provenance recording option to simplify (#601) - Minor performance improvement (#598)
- Fix performance regression in replication (#608)
[0.6.1] - 2018-08-25¶
Significant features for integration with forwards-time simulators plus improvements and bugfixes.
- Change in the semantics of how populations are treated by simplify. By
default, populations that are not referenced will now be removed from the
data model. This can be avoided by setting
- Simplify now raises an error if called on a set of tables that contain one or more migrations.
- The simulate() function now supports a
from_tsargument allowing msprime to complete the ancestry in tree sequences generated by forward simulations (#503, #541, #572, #581).
- Add start_time and end_time parameters to the
reduce_to_site_topologyargument to simplify. This allows us to find the minimal tree sequence that would be visible from a given set of sites, and is also a useful compression method if we are only interested in the observed sequences. (#545, #307).
- Simplify generalised to support individuals, and the
filter_sitesparameters added to allow filtering of unreferenced objects from the data model. (#567).
- Default random seeds are now generated from a sequence initialised by a system source of randomness (#534). Random seeds should also be safely generated across multiple processes.
- Full text I/0 support for Individuals and Populations (#498, #555)
- Substantially improved performance in
msprime.loadfor large tables and significant refactoring of C code (#559, #567, #569).
- Improved performance of generating genotypes (#580).
- Formal schema for tree sequence provenance (#566, #583).
- Many updates to documentation.
- Throw a more intelligle error during simulation if a topology is produced where the time of a parent is equal to the time of the child. (#570, #87).
- Pickle supported in the TableCollection object. (#574, #577).
filter_zero_mutation_sitesparameter for simplify has been deprecated in favour of
[0.6.0] - 2018-06-20¶
This release is focused on ensuring interoperability with the forthcoming SLiM
3.0 release, which has support for outputting tree sequences in msprime’s
.trees format. The release represents a substantial step towards the goal of
tskit code from
msprime. It removes the troublesome HDF5
dependency in favour of the much simpler
The principle new features are the mutate() function which allows us to easily add mutations to any tree sequence, preliminary support for Individuals and Populations within the data model, and the addition of the new TableCollection object as the central structure in the Tables API.
- Files stored in the HDF5 format will need to upgraded using the
- The mutate function (#507).
- Removed HDF5 library dependency. Now use the embedded kastore library for storing data.
- Numpy and h5py are now install time dependencies, solving some installation headaches.
- The new TableCollection type gives much tighter integration with the low-level library. Functions like sort_tables and simplify_tables are now methods of this class. The load_tables function has been replaced by TableCollection.tree_sequence. These functions still work, but are deprecated.
- Preliminary support for Individual and Population types in the Tables API and for TreeSequences.
- Add ‘root’ argument to SparseTree.newick and support for arbitrary node labels (#510).
- Larger numbers of alleles now supported via 16-bit genotypes (#466).
- Substantially improved simplify performance when there is a large number of sites (#453).
- Fix bug in tree drawing with many roots (#486)
- Fix segfault in accessing trees with zero roots (#515)
- Fix bug where DemographyDebugger was modifying the input sample sizes (#407)
- sort_tables is deprecated in favour of TableCollection.sort().
- simplify_tables is deprecated in favour of TableCollection.simplify().
- load_tables is deprecated in favour of TableCollection.tree_sequence().
[0.5.0] - 2018-02-26¶
This is a major update to the underlying data structures in msprime to generalise the information that can be modelled, and allow for data from external sources to be efficiently processed. The new Tables API enables efficient interchange of tree sequence data using numpy arrays. Many updates have also been made to the tree sequence API to make it more Pythonic and general. Most changes are backwards compatible, however.
TreeSequence.mutations()iterators no longer support tuple-like access to values. For example, code like
- for x, u, j in ts.mutations():
print(“mutation at position”, x, “node = “, u)
will no longer work. Code using the old
Mutation.indexwill still work through deprecated aliases, but new code should access these values through
TreeSequence.diffs()method no longer works. Please use the
TreeSequence.get_num_records()no longer works. Any code using this or the
records()iterator should be rewritten to work with the
edges()iterator and num_edges instead.
Files stored in the HDF5 format will need to upgraded using the
- The API has been made more Pythonic by replacing (e.g.)
tree.total_branch_length. The old forms have been maintained as deprecated aliases. (#64)
- Efficient interchange of tree sequence data using the new Tables
API. This consists of classes representing the various
NodeTable) and some utility functions (such as
- Support for a much more general class of tree sequence topologies. For example, trees with multiple roots are fully supported.
- Substantially generalised mutation model. Mutations now occur at specific sites, which can be associated with zero to many mutations. Each site has an ancestral state (any character string) and each mutation a derived state (any character string).
- Substantially updated documentation to rigorously define the underlying data model and requirements for imported data.
variants()method now returns a list of alleles for each site, and genotypes are indexes into this array. This is both consistent with existing usage and works with the newly generalised mutation model, which allows arbitrary strings of characters as mutational states.
- Add the formal concept of a sample, and distinguished from ‘leaves’.
tracked_leaves, etc. to
tracked_samples(#225). Also rename
num_samplesfor consistency (#227).
- The simplify() method returns subsets of a large tree sequence.
- TreeSequence.first() returns the first tree in sequence.
- Windows support. Msprime is now routinely tested on Windows as part of the suite of continuous integration tests.
- Newick output is not supported for more general trees. (#117)
genotype_matrixmethod allows efficient access to the full genotype matrix. (#306)
- The variants iterator no longer uses a single buffer for genotype data, removing a common source of error (#253).
- Unicode and ASCII output formats for
SparseTree.draw()renders tree in the more conventional ‘square shoulders’ format.
SparseTree.draw()by default returns an SVG string, so it can be easily displayed in a Jupyter notebook. (#204)
- Preliminary support for a broad class of site-based statistics, including Patterson’s f-statistics, has been added, through the SiteStatCalculator, and its branch length analog, BranchLengthStatCalculator. The interface is still in development, and is expected may change.
- Duplicate site no longer possible (#159)
- Fix for incorrect population sizes in DemographyDebugger (#66).
recordsiterator has been deprecated, and the underlying data model has moved away from the concept of coalescence records. The structure of a tree sequence is now defined in terms of a set of nodes and edges, essentially a normlised version of coalescence records.
populationin various DemographicEvent classes for consistency. The old
population_idargument is kept as a deprecated alias.
destin MassMigrationEvent. The old
destinationargument is retained as a deprecated alias.
num_samplesin TreeSequence and SparseTree. The older versions are retained as deprecated aliases.
num_samplesin SparseTree. The
get_num_leavesmethod (and other related methods) that have been retained for backwards compatability are semantically incorrect, in that they now return the number of samples. This should have no effect on existing code, since samples and leaves were synonymous. New code should use the documented
- Accessing the
positionattribute on a
Variantobject is now deprecated, as this is a property of a
- Accessing the
indexattribute on a
Variantobject is now deprecated. Please use
variant.site.idinstead. In general, objects with IDs (i.e., derived from tables) now have an
get_methods in TreeSequence and SparseTree have been replaced by more Pythonic alternatives.
[0.4.0] - 2016-10-16¶
Major release providing new functionality and laying groundwork for upcoming functionality.
The HDF5 file format has been changed to allow for non-binary trees and to improve performance. It is now both smaller and faster to load. However, msprime cannot directly load tree sequence files written by older versions. The
msp upgradeutility has been developed to provide an upgrade path for existing users, so that files written by older versions of msprime can be converted to the newer format and read by version 0.4.x of msprime.
The tuples returned by the
mutationsmethod contains an element. This will break code doing things like
- for pos, node in ts.mutations():
For better forward compatibility, code should use named attributes rather than positional access:
- for mutation in ts.mutations():
Similarly, the undocumented
variantsmethod has some major changes:
- The returned tuple has two new values,
indexin the middle of the tuple (but see the point above about using named attributes).
- The returned genotypes are by default numpy arrays. To revert
to the old behaviour of returning Python bytes objects, use the
as_bytesargument to the
- The returned tuple has two new values,
- Historical samples. Using the
simulateusers can specify the location and time of all samples explicitly.
- HDF5 file upgrade utility
- Support for non-binary trees in the tree sequence, and relaxation of the requirements on input tree sequences using the read_txt() function.
- Integration with numpy, with zero-copy access to the low-level C API.
- Documented the variants() method that provides access to the sample genotypes as either numpy arrays or Python bytes objects.
- New LdCalculator class that allows very fast calculation of r^2 values.
- Initial support for threading.
- The values returned mutations() method now also contain an
indexattribute. This makes many operations simpler.
- New TreeSequence.get_time() method that returns the time a sample was sampled at.
- File load times substantially reduced by pre-computing and storing traversal indexes.
- O(1) implementation of TreeSequence.get_num_trees()
- Improved control of enabled tree features in TreeSequence.trees()
method using the
- Fixed a precision problem with DemographyDebugger. #37
- Segfault on large haplotypes. #29
[0.3.2] - 2016-07-21¶
Feature release adding new import and export features to the API and CLI.
TreeSequence.write_mutationsmethods to serialise a tree sequence in a human readable text format.
msprime.load_txt()method that parses the above formats, and allows msprime to read in data from external sources.
TreeSequence.write_vcfmethod to write mutation information in VCF format.
- Miscellaneous documentation fixes.
[0.3.1] - 2016-06-24¶
Feature release adding population related methods to the API.
- Added the optional
samplesargument to the
- Fixed a potential low-level buffer overrun problem.
[0.3.0] - 2016-05-31¶
Bugfix release affecting all users of the Python API. Version 0.2.0 contained a confusing and inconsistent mix of times and rates being expressed in both coalescent units and generations. This release changes _all_ times and rates used when describing demographic models to generations, and also changes all population sizes to be absolute. In the interest of consistency, the units of the trees output by msprime are also changed to generations. This is a major breaking change, and will require updates to all scripts using the API.
This release also include some performance improvements and additional functionality.
Mspms users are not affected, other than benefiting from performance improvements.
- Time values are now rescaled into generations when a TreeSequence is created, and so all times associated with tree nodes are measured in generations. The time values in any existing HDF5 file will now be interpreted as being in generations, so stored simulations must be rerun. To minimise the chance of this happening silently, we have incremented the file format major version number, so that attempts to read older versions will fail.
- Growth rate values for the PopulationConfiguration class are now per generation, and population sizes are absolute. These were in coalescent units and relative to Ne previously.
- GrowthRateChangeEvents and SizeChangeEvents have been replaced with a single class, PopulationParametersChange. This new class takes an initial_size as the absolute population size, and growth_rate per generation. Since the change in units was a breaking one, potentially leading to subtle and confusing bugs, we decided that the name refactoring would at least ensure that users would need to be aware that the change had been made. This API should now be stable, and will not be changed again without an excellent reason.
- MigrationRateChangeEvent has been renamed to MigrationRateChange and the migration rates are now per-generation.
- MassMigrationEvent has been renamed to MassMigration, and the values of source and destination swapped, fixing the bug in issue #14.
- The TreeSequence.records() method now returns an extra value, potentially breaking client code.
- Added tutorial for demographic events.
- Added DemographyDebugger class to help view the changes in populations over time.
- Added population tracking for coalescent events. We can now determine the population associated with every tree node. The relevant information has been added to the HDF5 file format.
- Improved performance for replication by reusing the same low-level simulator instance. This leads to significant improvements for large numbers of replicates of small simulations. Issue #8.
- Changed the TreeSequence.records() method to return named tuples.
- Added get_total_branch_length method. Issue #12.
- Fixed bug in reading Hapmap files. Issue #13.
[0.2.0] - 2016-05-05¶
Major update release, adding significant new functionality to the Python API and several breaking changes. All code written for the 0.1.x API will be affected, unfortunately.
- Sample IDs are now zero indexed. In previous versions of msprime, the samples were numbered from 1 to n inclusive, which is not Pythonic. This change has been made to make the API more usable, but will cause issues for existing code.
- There is now an Ne parameter to simulate(), and recombination, mutation and migration rates are now all per-generation. The keyword arguments have been changed to recombination_rate and mutation_rate, which should mean that silent errors will be avoided. All rates in existing code will need to be divided by 4 as a result of this. This change was made to make working with recombination maps and per generation recombination rates easier.
- Msprime now uses continuous values to represent coordinates, and the num_loci parameter has been replaced with a new length parameter to simulate(). Internally, a discrete recombination model is still used, but by default the potential number of discrete sites is very large and effectively continuous. True discrete recombination models can still be specified by using the recombination_map argument to simulate.
- The population_models argument to simulate() has been removed, and replaced with the population_configuration and demographic_events parameters. This was necessary to provide the full demographic model.
- The HDF5 file format has been updated to accommodate the continuous coordinates, along with other minor changes. As a consequence, simulation results will be somewhat larger. Stored simulations will need to be re-run and saved.
- Removed the random_seed key from the provenance JSON strings.
- Removed the simulate_tree() function, as it seemed to offer little extra value.
- Simulation of variable recombination rates via arbitrary recombination maps.
- Full support for population structure and demographic events.
- API support for replication via the num_replicates argument to simulate().
- Fully reworked random generation mechanisms, so that in the nominal case a single instance of gsl_rng is used throughout the entire simulation session.
- Addition of several miscellaneous methods to the TreeSequence API.
- Added NULL_NODE constant to make tree traversals more readable.
[0.1.10] - 2016-04-21¶
Bugfix release. Fixes serious issue affecting simulations with small sample sizes.
All users of mspms should update immediately and any analyses using a small sample size (< 10) with mutations should be repeated.
Many thanks to Konrad Lohse for identifying the issue.
[0.1.9] - 2016-04-01¶
Bugfix release. Fixes serious issue affecting random seeds in mspms.
All users of mspms should update immediately and any analyses using
-seeds option in mspms should be repeated.
Many thanks to Derek Setter for identifying the issue.
[0.1.8] - 2016-02-17¶
Transitional release providing population structure support for the ms-compatible command line interface. A considerable amount of low-level plumbing was required to provide the required flexibility. This is currently not visible from the high-level API, but will shortly be made available in the forthcoming 0.2.x series.
The current implementation of migration should work well for small numbers of populations (e.g. < 10), but will not scale well for large numbers of populations.
- Added the -I, -m, -ma, -em, -eM, -ema, -eG, -eg, -eN, -en, -ej and -es options to mspms. These should provide full ms compatability, except for the -es option which is currently limited in scope.
- Added some extra keys to the low-level configuration JSON in the HDF5 file format to describe the population structure. This will be documented in a future release.
- Added a get_pairwise_diversity method to the TreeSequence class to efficiently calculate the population genetics statistic pi.