This is the v2.0 release of khmer and the first from our new lab at the University of California, Davis. It features Python 3 compatibility, streaming I/O from Unix Pipes, mixed-pair sequence file format support, and a new parameter to simplify memory usage. We also have a software paper in-press describing the project and the citation reminders have been updated to reflect that.
Overall there are an additional 2,380 lines of Python code (mostly tests) and 283 less lines of C++ (despite adding features). This release is the product of over 1,000 commits to the codebase since v1.4.
Documentation is at https://khmer.readthedocs.org/en/v2.0/
All scripts now accept input from named (like /dev/stdin, or that
created using <( list ) process substituion) and unnamed pipes (like
output piped in from another program with |). The STDIN stream can
also be specified using a single dash: -. #1186 @mr-c #1042 #763
@SherineAwad #1085 @ctb
There is now a -M/--max-memory-usage parameter that sets the
number of tables (-N/--n\_tables) and tablesize
(-x/--max-tablesize) parameters automatically to match the
desired memory usage. #1106 #621 #1126 #390 #1117 #1055 #1050 #1214
#1179 #1133 #1145 @ctb @qingpeng @bocajnotnef
normalize-by-median.py now supports mixed paired and unpaired (or
"broken-paired") input. Behavior can be forced to either treat all reads
as singletons or to require all reads be properly paired using
--force\_single or --paired, respectively. If --paired is
set, --unpaired-reads can be used to include a file of unpaired
reads. The unpaired reads will be examined after all of the other
sequence files. normalize-by-median.py now has a --quiet option
to reduce the amount of output. #1200 @bocajnotnef
split-paired-reads.py --output-orphaned/-0 has been added to
allow for orphaned reads and give them a file to be sorted into. #847
#1164 @ctb
All scripts that output any kind of columnar data now do so in CSV
format, with headers. Previously this had to be enabled with --csv.
(Affects abundance-dist-single.py, abundance-dist.py,
count-median.py, and count-overlap.py.)
normalize-by-median.py --report also now outputs in CSV format.
#1011 #1180 @ctb
sample-reads-randomly.py now retains pairs in the output, by
default. This can be overridden to match previous behavior with
--force\_single.
We support gzip and bzip2 input and output file compression everywhere that it makes sense #505 #747 @bocajnotnef
unique-kmers.py estimates the k-mer cardinality of a dataset using
the HyperLogLog probabilistic data structure. This allows very low
memory consumption, which can be configured through an expected error
rate. Even with low error rate (and higher memory consumption), it is
still much more efficient than exact counting and alternative methods.
It supports multicore processing (using OpenMP) and streaming, and so
can be used in conjunction with other scripts (like
normalize-by-median.py and filter-abund.py). This script is the
work of @luizirber and the subject of a paper in draft. #390 #1239 #1252
#1053 #1072 #1145 #1176 #1207 #1204 #1245
For clarity the Count-Min Sketch based data structure previously known
as "counting_hash" or "counting_table" and variations of these is now
known as countgraph. Likewise with the Bloom Filter based data
structure previously known at "hashbits", "presence_table" and
variations of these is now known as nodegraph. Many options relating
to table have been changed to graph. #1112 #1209 @mr-c
All binary khmer formats (presence tables, counting tables, tag sets,
stop tags, and partition subsets) have changed. Files are now pre-pended
with the string OXLI to indicate that they are from this project.
#519 #1031 @mr-c #1159 @luizirber
Files of the above types made in previous versions of khmer are not compatible with v2.0; the reverse is also true.
In addition to the OXLI string, the Nodegraph and Countgraph file
format now includes the number of occupied bins. See
http://khmer.readthedocs.org/en/v2.0/dev/binary-file-formats for
details. #1093 @ctb @mr-c #1101 #1103 @kdmurray91
Previously, load-graph.py appended a .pt extension to the
specified output filename and partition-graph.py appended a .pt to
the given input filename. Now, load-graph.py writes to the specified
output filename and partition-graph.py does not append a .pt to
the given input filename. #1189 #747 @bocajnotnef
The total number of unique k-mers will always be reported every time a
new countgraph is made. The --report-total-kmers option has been
removed from abundance-dist-single.py, filter-abund-single.py,
and normalize-by-median.py to reflect this. Likewise with
--write-fp-rate for load-into-counting.py and load-graph.py;
the false positive rate will always be written to the .info files.
#1097 #1180 @ctb
To simplify the codebase --save-on-failure and its helper option
--dump-frequency have been removed from normalize-by-median.py.
--out is now --output for both normalize-by-median.py and
trim-low-abund.py. #1188 #1164 @ctb
The common option --min-tablesize was renamed to --max-tablesize
to reflect this more desirable behavior.
In conjuction with the new split-paired-reads.py
--output-orphaned option, the option --force-paired/-p has
been eliminated.
As CSV format is now the default, the --csv option has been removed.
count-overlap.py has been removed.
When normalize-by-median.py decides to keep both parts of a pair of
reads it was only adding the k-mers & counts from one to the countgraph.
#1000 #1010 @drtamermansour @bocajnotnef
The partition map file format was not robust to truncation and would hang waiting for more data. #437 #1037 #1048 @ctb
extract-paired-reads.py and split-paired-reads.py no longer
create default files when the user supplies filename(s). #1005 #1132
@kdmurray91
find-knots.py was missing a --force option and unit tests. #358
#1078 @ctb The check for excessively high false-positive rate has also
received a --force option #1168 @bocajnotnef
A bug leading to an infinite loop with large gzipped countgraphs was found #1038 #1043 @kdmurray91
All scripts that create nodegraphs or countgraphs report the total number of unique k-mers. #491 #609 #429 @mr-c
Read pairs from SRA are fully supported. Reported by @macmanes in #1027, fixed by @kdmurray91 @SherineAwad in #1173 #1088
Added Hashtable::get_kmers(), get_kmer_hashes(), and
get_kmer_counts() with corresponding CPython functions. #1047 #1049
@ctb
The DEFAULT_DESIRED_COVERAGE for normalize-by-median.py is now
20. #1073 #1081 @ctb
FIFOs are no longer seen as empty. #1147 #1163 @bocajnotnef
When the k-size is requested to be larger than 32 (which is unsupported) a helpful error message is reported. #1094 #1050 @ctb
We try to report more helpfully during errors, such as suggesting the
--force option when outputs files already exist. #1162 #1170
@bocajnotnef
There is a paper related to trim-low-abund.py: "Crossing the
streams: a framework for streaming analysis of short DNA sequencing
reads" and it has been added to the CITATION file and program output.
#1180 #1130 @ctb
We have dropped support for Python 2.6 #1009 #1180 @ctb
Our user documentation got a bit out of date and has been updated. #1156 #1247 @bocajnotnef @mr-c #1104 @kdmurray91 #1267 @ctb Links to lists of publications that use khmer have been added #1063 #1222 @mr-c The help text from the scripts has also had a thorough cleanup for formatting. #1268 @mr-c
fastq-to-fasta.py's --n_keep option has incorrect help text. We
now point out that all reads with Ns will be dropped by default unless
this option is supplied. #657 #814 #1208 @ACharbonneau @bocajnotnef
We've updated the URL to the '88m-reads.fa.gz' file. #1242 #1269 @mr-c
@camillescott designed and implemented an optimization for
normalize-by-median.py #862
abundance-dist.py can now be used without counts over 255 with
--no-bigcount. #1067 #909 @drtamermansour @bocajnotnef Its input
file requirement can no longer be overridden #1201 #1202 @bocajnotnef
khmer v2.0 will be released as a package for the Debian GNU/Linux operating system. Big thanks to @kdmurray91 for his assistance. #1148 #1240 The C++ library, now named liboxli, will have its own package as well.
sandbox/multi-rename.py now wraps long FASTA sequences at 80
columns. #450 #1136 @SherineAwad
The khmer project is now a Python 3 codebase with backwards
compatibility to Python 2.7. Huge credit to @luizirber #978 #922 #1045
#1066 #1089 #1157 #1191 #1108 Many developer impacting changes including
the file khmer/\_khmermodule.cc is now khmer/\_khmer.cc. #169
#904
@camillescott did an extensive refactor of the C++ graph traversal code which removed a considerable amount of redundant code and will be very useful for future work. #1231 #1080
We now use some and allow all C++11 features in the codebase. #598 #1122 @mr-c
normalize-by-median.py was extensively refactored. #1006 #1010 #1057
#1039 #1135 #1182 @bocajnotnef @ctb @camillescott
The CPython glue was refactored so that CountingHash and Hashbits inherit from Hashtable. #1044 @ctb
The tests no longer stop on the first failed test. #1124 #1134 @ctb and some noisy tests were silenced #1125 #1137 @bocajnotnef
The check_space() calls were cleaned up. #1167 #1166 #1170 #993
Developer docs have been expanded #737 #1184 @bocajnotnef #1083 #1282 @ctb @mr-c #1269
A lot of code was deleted: TRACE related code in #274 #1180 @ctb
hashtable_collect_high_abundance_kmers in #1142 #1044 @ctb
lib/ht-diff.cc, lib/test-HashTables.cc, lib/test-Parser.cc
#1144, @mr-c bink.ipynb, lib/graphtest.cc, lib/primes.hh
#1289 @mr-c
@bocajnotnef deleted more unused code and added new tests elsewhere to increase testing coverage in #1236. @mr-c had his own go in #1279
cppcheck installation for OSX has been documented #777 #952 #945 @elmbeech
ccache and git-merge-changelog has been documented for Linux users #610 #1122 #614 @mr-c
The graphalign parameters can be saved/loaded from disk. In addition the
align_forward method has been introduced. #755 #750 @mr-c @ctb
labelhash is now known as graphlabels #1032 #1209 @mr-c It is
also now a 'friend' of Hashtable and one can make either a nodegraph or
countgraph version. These graphlabels can now be saved & loaded from
disk. #1021 @ctb
Spelling is hard; we've added instructions on how to run codespell to the developer docs. #890 #1203 @bocajnotnef
A redundant and contradictory named test has been removed. Reported by @jgluck in #662 fixed by @bocajnotnef in #1220 @SherineAwad contributed some additional tests #809 #615.
The new oxli command, while disabled in the v2.0 release, has been added to all the QA makefile targets as we continue to refactor the codebase. #1199 #1218 @bocajnotnef
The CPython code was audited to ensure that all possible C++ exceptions were caught and dealt with. The exception hierarchy was also simplified #1016 #1015 #1017 #1151 @kdmurray91 @mr-c
get_kadian_count has been removed. #1034 #1194 @ctb
We use argparse's metavars to aid with autogenerated documentation
for the scripts. This has been documented in the dev docs. #620 #1222
@mr-c
Sometimes one makes a lot of commits while refining a feature or pull
request. We've documented a field-tested way to turn a pile of commits
into a single commit without the pain of git rebase. #1013 #660
#1222 @mr-c
We use Coverity to test for various issues with our C++ code. The Makefile target has been updated for changes on their side. #1007 #1222 @mr-c
There is a new update() function to merge two nodegraphs of the same
size and ksize. #1051 @ctb
Despite the checklist, formatting errors still occur. We must be vigilant! #1075 @luizirber
There is a new filter_on_median function. #862 #1077 @camillescott
There are new scripts in the sandbox/ which output k-mer counts:
sandbox/{count-kmers.py,count-kmers-single.py}. #983 @ctb
A large effort to make the codebase 'pylint clean' has begun with #1175 @bocajnotnef Likewise the cpychecker tool was re-run on the CPython code and issues found there were addressed #1196 @mr-c
As repeatedly promised, we've updated our list of contributors to include everyone with a commit in git. #1023 @mr-c
thread_utils.is_pair() has been dropped in favor of
utils.check_is_pair() #1284 @mr-c
The Doxygen produced documentation is improving. The location of included headers is now autodetected for Doxygen and cppcheck.
load-graph.py in multithreaded mode will find slightly different
number of unique kmers. This is being investigated in #1248
@ctb, @bocajnotnef, @mr-c, @luizirber, @kdmurray91, @SherineAwad, @camillescott, ‡@ACharbonneau
‡ Indicates new contributors
@jgluck, @ACharbonneau, @macmanes