Picopore v1.2.0

Release notes:

• New submodule picopore-rename allows renaming of groups and/or datasets
• picopore --realtime and picopore --test deprecated in favour of submodules picopore-realtime and picopore-test
• Refactored code base for future maintainability
• Various bugfixes

Picopore v1.1.5

Release notes:

• A new --manual setting has been added for removal of user-specified groups with regex support
• The former --group setting has been deprecated
• Several bugs have been fixed

Picopore v1.1.2

Picopore version 1.1.2 resolves dependency issues for some systems running Python 3. It provides a workaround for a known bug of Python's multiprocessing module which allows users to safely exit multithreaded mode.

Picopore v1.1.1a

Picopore version 1.1.1a resolves dependency issues for systems running Python 2.7 without the module 'future' installed. It also provides a number of bug fixes for the equivalence check when running in deep lossless mode.

Picopore v1.1.1

Picopore now supports Python >=3.4. Python 2.7 is still supported.

1.0.0 Stable

Picopore version 1.0.0 is now available. Picopore is compatible with R9 and R9.4 FAST5 files, and the most recent version of MinKNOW as of 24/02/17.

Changes since version 0.2.2:

• further testing and benchmarking

Public Beta

Version 0.2.2 includes minimal compression as part of raw, changes mode to be no longer a positional argument for ease of use, and includes numerous bugfixes for poor quality input files.

Picopore should now work consistently on all R9 and R9.4 data, and all initial features have been implemented.

Public Alpha

Picopore's lossless, deep-lossless and raw compression now work R9 and R9.4 data. It is recommended that you try compressing a subset of your data using --prefix and checking the results before running in production, as only some basecallers / chemistries have been tested.