.. raw:: html khmer v1.4 release notes ======================== This is the v1.4 release of khmer featuring the results of our March and April (PyCon) coding sprints and the 16 new contributors; the use of the new v0.8 release of screed (the library we use for pure Python reading of nucleotide sequence files); and the addition of @luizirber's HyperLogLog counter for quick cardinality estimation. Documentation is at https://khmer.readthedocs.org/en/v1.4/ New items of note: ------------------ Casava 1.8 read naming is now fully supported and in general the scripts no longer mangle read names. Side benefits: ``split-paired-reads.py`` will no longer drop reads with 'bad' names; ``count-median.py`` can generate output in CSV format. #759 #818 @ctb #873 @ahaerpfer Most scripts now support a "broken" interleaved paired-read format for FASTA/ FASTQ nucleotide sequence files. ```trim-low-abund.py`` `__ has been promoted from the sandbox as well (with streaming support). #759 @ctb #963 @sguermond #933 @standage The script to transform an interleaved paired-read nucleotide sequence file into two files now allows one to name the output files which can be useful in combination with named pipes for streaming processing #762 @ctb Streaming everywhere: thanks to screed v0.8 we now support streaming of almost all inputs and outputs. #830 @aditi9783 #812 @mr-c #917 @bocajnotnef #882 @standage Need a quick way to count total number of unique k-mers in very low memory? the ``unique-kmers.py`` script in the sandbox uses a HyperLogLog counter to quickly (and with little memory) provide an estimate with a controllable error rate. #257 #738 #895 #902 @luizirber ``normalize-by-median.py`` can now process both a paired interleaved sequence file and a file of unpaired reads in the same invocation thus removing the need to write the counting table to disk as required in the workaround. #957 @susinmotion Notable bugs fixed/issues closed: --------------------------------- Paired-end reads from Casava 1.8 no longer require renaming for use in ``normalize-by-median.py`` and ``abund-filter.py`` when used in paired mode #818 @ctb Python version support clarified. We do not (yet) support Python 3.x #741 @mr-c If a single output file mode is chosen for normalize-by-median.py we now default to overwriting the output. Appending the output is available by using the append redirection operator from the shell. #843 @drtamermansour Scripts that consume sequence data using C++ will now properly throw an error on truncated files. #897 @kdmurray91 And while writing to disk we properly check for errors #856 #962 @mr-c ``abundance-dist-single.py`` no longer fails with small files and many threads. #900 @mr-c Additional fixes/features ------------------------- Of interest to users: ~~~~~~~~~~~~~~~~~~~~~ Many documentation updates #753 @PamelaM, #782 @bocajnotnef, #845 @alameldin, #804 @ctb, #870 @SchwarzEM, #953 #942 @safay, #929,@davelin1, #687 #912 #926 @mr-c Installation instructions for Conda, Arch Linux, and Mac Ports have been added #723 @reedacartwright #952 @elmbeech #930 @ahaerpfer The example script for the STAMPS database has been fixed to run correctly #781 @drtamermansour ``split-paired-reads.py``: added ``-o`` option to allow specification of an output directory #752 @bede Fixed a string formatting and a boundary error in ``sample-reads-randomly.py`` #773 @qingpeng #995 @ctb CSV output added to ``abundance-dist.py``, ``abundance-dist-single.py``, and ``count-overlap.py``, and ``readstats.py`` #831 #854 #855 @drtamermansour #959 @anotherthomas TSV/JSON output of ``load-into-counting.py`` enhanced with the total number of reads processed #996 @kdmurray91 Output files are now also checked to be writable *before* loading the input files #672 @pgarland @bocajnotnef ``interleave-reads.py`` now prints the output filename nicely #827 @kdmurray91 Cleaned up error for input file not existing #772 @jessicamizzi #851 @ctb Fixed error in ``find-knots.py`` #860 @TheOneHyer The help text for ``load-into-counting.py`` for the ``--no-bigcounts``/``-b`` flag has been clarified #857 @kdmurray91 @lexnederbragt confirmed an old bug has been fixed with his test for whitespace in sequence identifiers interacting with the ``extract-partitions.py`` script #979 Now safe to copy-and-paste from the user documentation as the smart quotes have been turned off. #967 @ahaerpfer The script ``make-coverage.py`` has been restored to the sandbox. #920 @SherineAwad ``normalize-by-median.py`` will warn if two of the input files have the same name #932 @elmbeech Of interest to developers: ~~~~~~~~~~~~~~~~~~~~~~~~~~ Switched away from using ``--user`` install for developers #740 @mr-c @drtamermansour & #883 @standage Developers can now see a summary of important Makefile targets via ``make help`` #783 @standage The unused ``khmer.load_pe`` module has been removed #828 @kdmurray91 Versioneer bug due to new screed release was squashed #835 @mr-c A Python 2.6 and 2.7.2 specific bug was worked around #869 @kdmurray91 @ctb Added functions hash\_find\_all\_tags\_list and hash\_get\_tags\_and\_positions to CountingHash objects #749 #765 @ctb The ``make diff-cover`` and ChangeLog formatting requirements have been added to checklist #766 @mr-c A useful message is now presented if large tables fail to allocate enough memory #704 @mr-c A checklist for developers adding new CPython types was added #727 @mr-c The sandbox graduation checklist has been updated to include streaming support #951 @sguermond Specific policies for sandbox/ and scripts/ content, and a process for adding new command line scripts into scripts/ have been added to the developer documentation #799 @ctb Sandbox scripts update: corrected #! Python invocation #815 @Echelon9, executable bits, copyright headers, no underscores in filenames #823 #826 #850 @alameldin several scripts deleted, docs + requirements updated #852 @ctb Avoid running big-memory tests on OS X #819 @ctb Unused callback code was removed #698 @mr-c The CPython code was updated to use the new checklist and follow additional best practices #785 #842 @luizirber Added a read-only view of the raw counting tables #671 @camillescott #869 @kdmurray91 Added a Python method for quickly getting the number of underlying tables in a counting or presence table #879 #880 @kdmurray91 The C++ library can now be built separately for the brave and curious developer #788 @kdmurray91 The ReadParser object now keeps track of the number of reads processed #877 @kdmurray91 Documentation is now reproducible #886 @mr-c Python future proofing: specify floor division #863 @mr-c Miscellaneous spelling fixes; thanks codespell! #867 @mr-c Debian package list update #984 @mr-c ``khmer.kfile.check_file_status()`` has been renamed to ``check_input_files()`` #941 @proteasome ``filter-abund.py`` now uses it to check the input counting table #931 @safay ``normalize-by-median.py`` was refactored to not pass the ArgParse object around #965 @susinmotion Developer communication has been clarified #969 @sguermond Tests using the 'fail\_okay=true' parameter to ``runscript`` have been updated to confirm the correct error occurred. 3 faulty tests were fixed and the docs were clarified #968 #971 @susinmotion FASTA test added for ``extract-long-sequences.py`` #901 @jessicamizzi 'added silly test for empty file warning' #557 @wltrimbl @bocajnotnef A couple tests were made more resilient and some extra error checking added in CPython land #889 @mr-c Copyright added to pull request checklist #940 @sguermond ``khmer_exception``\ s are now based on ``std::string``\ s which plugs a memory leak #938 @anotherthomas Python docstrings were made PEP257 compliant #936 @ahaerpfer Some C++ comments were converted to be Doxygen compliant #950 @josiahseaman The counting and presence table warning logic was refactored and centralized #944 @susinmotion The release checklist was updated to better run the post-install tests #911 @mr-c The unused method ``find_all_tags_truncate_on_abundance`` was removed from the CPython API #924 @anotherthomas OS X warnings quieted #887 @mr-c Known issues: ------------- All of these are pre-existing. Some users have reported that normalize-by-median.py will utilize more memory than it was configured for. This is being investigated in https://github.com/dib-lab/khmer/issues/266 Some scripts only output FASTA even if given a FASTQ file. This issue is being tracked in https://github.com/dib-lab/khmer/issues/46 Contributors ------------ @ctb, @kdmurray91, @mr-c, @drtamermansour, @luizirber, @standage, @bocajnotnef, ‡@susinmotion, @jessicamizzi, ‡@elmbeech, ‡@anotherthomas, ‡@sguermond, ‡@ahaerpfer, ‡@alameldin, ‡@TheOneHyer, ‡@aditi9783, ‡@proteasome, ‡@bede, ‡@davelin1, @Echelon9, ‡@reedacartwright, @qingpeng, ‡@SchwarzEM, ‡@scottsievert, @PamelaM, @SherineAwad, ‡@josiahseaman, ‡@lexnederbragt, ‡ Indicates new contributors Issue reporters --------------- @moorepants, @teshomem, @macmanes, @lexnederbragt, @r-gaia-cs, @magentashades