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Docs/Args cleanup for HaplotypeCaller and other tools, and SplitNCigarReads change #3891

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merged 1 commit into from
Jan 8, 2018

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@ldgauthier ldgauthier commented Nov 30, 2017

Updated docs with usage examples and kebabed long args for:

  • HaplotypeCaller
  • HaplotypeCallerSpark
  • CombineGVCFs
  • GenomicsDBImport
  • GenotypeGVCFs
  • VariantFiltration
  • ASEReadCounter
  • SplitNCigarReads
  • CalculateGenotypePosteriors
  • VariantRecalibrator
  • ApplyVQSR

Elaborated on/fixed docs for:

  • InbreedingCoeff
  • ExcessHet
  • SampleList

Hid GatherTranches

Added a ReadTransformer to SplitNCigarReads to simplify the command from the old RNA best practices (https://software.broadinstitute.org/gatk/documentation/article.php?id=3891) NOTE: this slightly changes the default behavior @vdauwera

Unfortunately I squashed the SplitNCigarReads changes into the doc fixes. :( If that's a problem I can split into two commits.

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ldgauthier commented Nov 30, 2017

The dsde-pipelines repo should be updated when the arg changes go in (all the GenomicsDBImport args are long args that have been changed, for example).

@droazen droazen self-requested a review November 30, 2017 15:06
@droazen droazen self-assigned this Nov 30, 2017
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codecov-io commented Nov 30, 2017

Codecov Report

Merging #3891 into master will increase coverage by 0.232%.
The diff coverage is 96.528%.

@@               Coverage Diff               @@
##              master     #3891       +/-   ##
===============================================
+ Coverage     78.974%   79.206%   +0.232%     
- Complexity     16534     18009     +1475     
===============================================
  Files           1059      1174      +115     
  Lines          59160     64889     +5729     
  Branches        9616     10224      +608     
===============================================
+ Hits           46721     51396     +4675     
- Misses          8703      9562      +859     
- Partials        3736      3931      +195
Impacted Files Coverage Δ Complexity Δ
...llbender/transformers/NDNCigarReadTransformer.java 95.652% <ø> (ø) 10 <0> (ø) ⬇️
...ender/tools/walkers/annotator/InbreedingCoeff.java 86.207% <ø> (ø) 10 <0> (ø) ⬇️
...itute/hellbender/tools/walkers/SplitIntervals.java 88.235% <ø> (ø) 6 <0> (ø) ⬇️
...ecaller/AssemblyBasedCallerArgumentCollection.java 100% <ø> (ø) 1 <0> (ø) ⬇️
...institute/hellbender/utils/help/HelpConstants.java 2.381% <ø> (ø) 1 <0> (ø) ⬇️
...titute/hellbender/tools/walkers/GenotypeGVCFs.java 90.083% <ø> (ø) 47 <0> (ø) ⬇️
...ellbender/cmdline/StandardArgumentDefinitions.java 0% <ø> (ø) 0 <0> (ø) ⬇️
...tools/walkers/haplotypecaller/HaplotypeCaller.java 93.939% <ø> (+0.391%) 18 <0> (+2) ⬆️
.../hellbender/tools/walkers/annotator/ExcessHet.java 98.667% <ø> (ø) 23 <0> (ø) ⬇️
...hellbender/tools/walkers/annotator/SampleList.java 80% <ø> (ø) 8 <0> (ø) ⬇️
... and 375 more

@ldgauthier ldgauthier force-pushed the ldg_releaseDocs branch 2 times, most recently from e0a5336 to c371f99 Compare December 4, 2017 18:56
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@sooheelee I think this is ready to go. Want to double-check?

I just made a couple doc fixes, but tests were passing and that shouldn't change.

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droazen commented Dec 4, 2017

I still need to review the read transformer stuff -- will have a look when I get a chance.

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@ldgauthier We no longer have an RNAProgramGroup but rather the two tools are now in two different categories and I have noted these in the review. I have various comments, many of them minor, and so if you have better things to do, let us know.

Also, I just assume the example commands have been kebabbed as needed. Thank you for these updates!

@@ -56,9 +56,14 @@
*
* This is an implementation of {@link HaplotypeCaller} using spark to distribute the computation.
* It is still in an early stage of development and does not yet support all the options that the non-spark version does.
*
* Specifically it does not support the --dbsnp, --comp, and --bamOutput options.
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This is what this section looks like:
screenshot 2017-12-07 12 08 47

We need formatting elements as I outline to Yossi in #3853, using HaplotypeCaller as the example.

  • Period at end of line 55 if intended as first sentence in paragraph.
  • Break elements if you want to paragraph the next section.
  • Is the {@link} element a placeholder for us to later amend @vdauwera?
  • Use <pre> </pre> to surround code blocks.

* for one sample
* 3. The path to the GenomicsDB workspace must be specified
* 4. User may optionally specify paths to which to write JSON files
* Import single-sample GVCFs into GenomicsDB before joint genotyping
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Similar formatting suggestions to above.

*
* The current GATK4 Best Practices for SNP and INDEL Calling use GenomicsDBImport to merge GVCFs from multiple samples, thus
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use --> uses

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End sentence with samples. Remove thus.

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"The Best Practices ... use" or "The Best Practices Workflow ... uses" I stand by my subject-verb agreement.

I think I meant to finish that sentence with "thus replacing CombineGVCFs"

*
* The current GATK4 Best Practices for SNP and INDEL Calling use GenomicsDBImport to merge GVCFs from multiple samples, thus
*
* GenomicsDB is a utility built on top of TileDB, both open-source projects started by the Intel Science and Technology
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Name is now Intel-HLS, where HLS=health and life sciences.

I think you will find the blurb from the ASHG2017 poster helpful:

GATK4 supports use of the GenomicsDB datastore towards joint variant calling. This functionality comes from the Intel-Broad Center for Genomics and enables scaling exemplified by the joint calling of gnomAD’s 20k WGS cohort. The datastore transposes sample-centric variant information across genomic loci to make data more accessible to tools and to manual probing. See https://github.com/Intel-HLS/GenomicsDB/wiki for details and Article#10061 to get started.

  • So let's emphasize the collaboration and name the Intel-Broad Center for Genomics instead.
  • I do like your explanation of sparse data.

* GenomicsDB contains code to specialize TileDB for genomics applications, such as VCF parsing and INFO field annotation
* calculation. For more details about GenomicsDB see the github wiki at https://github.com/Intel-HLS/GenomicsDB/wiki/
*
* The GenomicsDB format is not meant to be accessed directly. To query the contents of the datastore, use SelectVariants.
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Again, remember to use <p></p> elements to demarcate paragraphs.

@@ -70,7 +79,7 @@
@CommandLineProgramProperties(
summary = "Counts filtered reads at het sites for allele specific expression estimate",
oneLineSummary = "Generates table of filtered base counts at het sites for allele specific expression",
programGroup = ReadProgramGroup.class
programGroup = RNAProgramGroup.class
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RNAProgramGroup --> CoverageAnalysisProgramGroup

/**
* Created by gauthier on 11/28/17.
*/
public final class RNAProgramGroup implements CommandLineProgramGroup {
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This is not a category. The tools under it are dispersed to other categories now. Thanks for the initiative in this though. Appreciate it.

@@ -85,22 +85,22 @@
*
* <h4>Refine genotypes based on the discovered allele frequency in an input VCF containing many samples</h4>
* <pre>
* gatk-launch --javaOptions "-Xmx4g" CalculateGenotypePosteriors \
* ./gatk --javaOptions "-Xmx4g" CalculateGenotypePosteriors \
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same as above, also to below.

* -V input.vcf \
* -selectType SNP \
* -O output.vcf
* </pre>
*
* <h4>Query Chromosome 20 Variants from a GenomicsDB</h4>
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Awesome you remembered to add this example.

@@ -78,8 +78,8 @@
*
* <h4>Applying rcelibration/filtering to SNPs</h4>
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rcelibration --> recalibration

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Some comments on your comments. Otherwise everything else is fine to change.

*
* The current GATK4 Best Practices for SNP and INDEL Calling use GenomicsDBImport to merge GVCFs from multiple samples, thus
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"The Best Practices ... use" or "The Best Practices Workflow ... uses" I stand by my subject-verb agreement.

I think I meant to finish that sentence with "thus replacing CombineGVCFs"

* -L chr1:1000-10000 \
* -sampleNameMap cohort.sample_map \
* -readerThreads 5
* </pre>
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./gatk is only valid if you're running from the same directory as the script. Presumably users will add that directory to their path and be able to invoke gatk anywhere.
I thought you wanted commands representative of how we typically run the tools, but if that's not true then you can take the memory arg out.
I missed the kebab change here.

* <li>A single interval must be provided</li>
* <li>Each input GVCF must contain only one sample</li>
* <li>Input GVCFs cannot contain multiple entries for a single genomic position</li>
* <li>Currently, a GenomicsDB must be used from the directory structure in which it was created. If copied between file systems, the absolute path must be the same at the destination.</li>
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My 1) maps to her 2).
I'm not 100% sure that her 1) is true in general, but it is if you're interacting with the GDB through GATK.
Her 3) is worth adding
My 3) is irrelevant if people are using HC GVCFs, but it's still true that if you, for example, split multi-allelics there's no guarantee what will happen.
For my 4) this was a huge issue when I debug stuff on the cloud. You can't download the GDB unless you put it in /cromwell_root/<cromwell_server>/<workflow_name>/<workflow_hash>/<task_name>/<shard_number>/genomicsdb.tar, which isn't possible if you don't have root access to create the /cromwell_root directory. If you ever want to give a GDB to someone else they need to exactly recapitulate the absolute path that you have.

@lbergelson may also have other caveats related to the 20K fire. Like sample names must be unique? sample_map file must use the sample name in the GVCF?

* <li>Currently, a GenomicsDB must be used from the directory structure in which it was created. If copied between file systems, the absolute path must be the same at the destination.</li>
* </ul>
*
* <h3>Developer Note</h3>
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It's a class in the repo, but not a runable tool. This note is for people who want to develop walkers that take GDBs and input.

@@ -48,21 +49,19 @@
*
* <h3>Usage example</h3>
*
* <h4>Perform joint genotyping on a set of GVCFs enumerated in the command line</h4>
* <h4>Perform joint genotyping on a single single-sample GVCF or a single multi-sample GVCF</h4>
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Maybe you're running a pipeline that runs on cohorts and encounters a cohort of n=1. Also, allele-specific annotations are only available through the GVCF workflow, not from HaplotypeCaller alone.

@@ -76,19 +75,22 @@
* for non-diploid organisms.</p>
*
*/
@CommandLineProgramProperties(summary = "Perform joint genotyping on one or more samples pre-called with HaplotypeCaller", oneLineSummary = "Perform joint genotyping on one or more samples pre-called with HaplotypeCaller", programGroup = VariantProgramGroup.class)
@CommandLineProgramProperties(summary = "Perform joint genotyping on one or more samples pre-called with HaplotypeCaller",
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This summary is old and now inaccurate. The GATK4 tool cannot take multiple HaplotypeCaller GVCFs. "Perform joint genotyping on a single-sample GVCF from HaplotypeCaller or a multi-sample GVCF from CombineGVCFs"

* The current GATK4 Best Practices for SNP and INDEL Calling use GenomicsDBImport to merge GVCFs from multiple samples, thus
* <p>The GATK4 Best Practice Workflow for SNP and Indel calling uses GenomicsDBImport to merge GVCFs from multiple samples.
* GenomicsDBImport offers the same functionality as CombineGVCFs and comes from the <i>Intel-Broad Center for Genomics</i>.
* The datastore transposes sample-centric variant information across genomic loci to make data more accessible to tools and to manual probing.
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There really is no manual probing. God help you if you start to dig into the subdirectories. The big selling point is that the storage footprint is much smaller than the output of CombineGVCFs.

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I just remembered @ldgauthier we need a special note for GenomicsDBImport from #3137. To quote @droazen:

For example, GenomicsDBImport requires that you size your -Xmx value significantly smaller than the total amount of free memory on the machine, in order to leave enough room for the native heap. If you don't do this, you will get truly horrific and cryptic messages when the native code crashes with out-of-memory. This is really something that needs to be documented prominently!

Also need to propogate the Xmx option to the 2nd example command. Shall I do this?

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One more thing, --javaOptions--kebab-->--java-options, yes? @droazen @ldgauthier?

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Review complete, back to @ldgauthier

@@ -60,32 +60,54 @@
*/
public static final int NO_INTERVAL_SHARDING = -1;

//NOTE: these argument names are referenced by HaplotypeCallerSpark
public static final String SHARD_SIZE_LONG_NAME = "read-shard-size";
public static final String SHARD_SIZE_SHORT_NAME = "readShardSize";
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Having the short names be camel-case while the long names are kebab-style seems very confusing. I would just make the short names equal to the long names for all but the most common engine arguments (eg., -R, -L, etc.). If you omit the declaration of the short names completely, they will default to the long names, which would allow you to just delete half of these constants.

Same comment applies to the rest of this PR.

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Checked with @vdauwera, and she agrees.

public static final String PROFILE_OUT_LONG_NAME = "activity-profile-out";
public static final String PROFILE_OUT_SHORT_NAME = "APO";
public static final String ASSEMBLY_REGION_OUT_LONG_NAME = "assembly-region-out";
public static final String ASSEMBLY_REGION_OUT_SHORT_NAME = "ARO";
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I'm not sure these debugging args for activity profile/assembly region output are worthy of having special short names.

* -V data/gvcfs/father.g.vcf.gz \
* -V data/gvcfs/son.g.vcf.gz \
* -genomicsDBWorkspace my_database \
* --intervals 20
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Should use the more familiar -L here I think.

* -V data/gvcfs/mother.g.vcf.gz \
* -V data/gvcfs/father.g.vcf.gz \
* -V data/gvcfs/son.g.vcf.gz \
* -genomicsDBWorkspace my_database \
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-genomicsDBWorkspace -> --genomicsdb-workspace-path

* <pre>
* gatk --javaOptions "-Xmx4g -Xms4g" \
* GenomicsDBImport \
* -genomicsDBWorkspace my_database \
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-genomicsDBWorkspace -> --genomicsdb-workspace-path

@@ -36,7 +36,7 @@
* using the variational Bayes algorithm.
*/
@Advanced
@Argument(fullName = "maxGaussians", shortName = "mG", doc = "Max number of Gaussians for the positive model", optional = true)
@Argument(fullName = "max-gaussians", shortName = "mG", doc = "Max number of Gaussians for the positive model", optional = true)
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Most of these other short names should definitely go, though, I think


/**
* A read transformer to modify the mapping quality of reads
*
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Mention in docs how the mapping quality is modified, exactly.

@@ -162,7 +163,7 @@ public void testDeletions() throws IOException {
@Test
public void testUnfilteredBecomesFilteredAndPass() throws IOException {
final IntegrationTestSpec spec = new IntegrationTestSpec(
baseTestString("unfilteredForFiltering.vcf", " --filterExpression 'FS > 60.0' --filterName SNP_FS "),
baseTestString("unfilteredForFiltering.vcf", " -filter 'FS > 60.0' -filterName SNP_FS "),
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Use arg name constants here?

Arrays.asList(largeFileTestDir + "expected.NA12878.RNAseq.splitNcigarReads.maxMismatchesInOverhang0.bam"));
spec.executeTest("test splits with overhangs 0 mismatches", this);
}

@Test
public void testSplitsWithOverhangs5BasesInOverhang() throws Exception {
IntegrationTestSpec spec = new IntegrationTestSpec(
"--maxBasesInOverhang 5 -R " + b37_reference_20_21 + " -I " + largeFileTestDir + "NA12878.RNAseq.bam -O %s --processSecondaryAlignments",
"--max-bases-in-overhang 5 -R " + b37_reference_20_21 + " -I " + largeFileTestDir + "NA12878.RNAseq.bam -O %s --process-secondary-alignments",
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Should these tests use constants for the arg names, since we're touching them anyway?

args.add("--excludeFiltered");
args.add("-ts_filter_level");
args.add("-exclude-filtered");
args.add("-truth-sensitivity-filter-level");
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Use long names here

@droazen droazen assigned ldgauthier and unassigned droazen and sooheelee Dec 12, 2017
@@ -21,7 +23,8 @@
oneLineSummary = "Gathers scattered VQSLOD tranches into a single file",
programGroup = VariantProgramGroup.class
)
@DocumentedFeature
@DocumentedFeature(enable=false)
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Forgot to comment on this: what's up with the enable=false here?

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This will cause the doc for the feature to not be included in the output. The enable property was ported over from the GTAK3 doc system, though I'm not sure what purpose it served there. Although it will work here (it will hide the doc), you can achieve the same effect achieved by just removing the @DocumentedFeature annotation altogether.

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@droazen Do you really feel strongly about these short names? I left them because scripts that don't use the long names won't break. But if you really want to break literally ALL the WDLs involving GATK, I will change them but then I'm not going to be able to get this PR done by the deadline.

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droazen commented Dec 12, 2017

@ldgauthier Well, I think that having camel-cased short names and kebab-style long names is pretty confusing, and this might be our only chance to fix them to make them consistent, but I defer to @vdauwera on the issue of whether fixing the short names now is worth the extra effort.

@vdauwera Can you please weigh in here?

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droazen commented Dec 13, 2017

Re-assigning to @jamesemery to address the outstanding review comments, since @ldgauthier has indicated that she won't have time this week.

@droazen droazen assigned jamesemery and unassigned ldgauthier Dec 13, 2017
* --resource omni,known=false,training=true,truth=false,prior=12.0 1000G_omni2.5.hg38.sites.vcf.gz \
* --resource 1000G,known=false,training=true,truth=false,prior=10.0 1000G_phase1.snps.high_confidence.hg38.vcf.gz \
* --resource dbsnp,known=true,training=false,truth=false,prior=2.0 Homo_sapiens_assembly38.dbsnp138.vcf.gz \
* -an QD -an MQ -an MQRankSum -an ReadPosRankSum -an FS -an SOR \
* -mode SNP \
* --recalFile output.recal \
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If i'm not mistaken, it looks like there isn't actually an argument for --recalFile on this class. Should I remove mention of it from the docs? Is there supposed to be one?

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Sorry, that's GATK3 style. That should be --output. I prefer to leave the extension as .recal (it gets parsed as a VCF, but it doesn't have all the data you'd expect), thought @sooheelee might have thoughts.

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jamesemery commented Dec 14, 2017

Sans some tests I possibly missed fixing, I think I have responded to all of the comments and cut back on a number of the short argument names. I have also made an attempt to fix the wdls but I have not meticulously tested that they now necessarily work. @droazen

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Is this ready to merge? @droazen @ldgauthier?

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Looks like checks have passed but we need a green light from @droazen.

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droazen commented Jan 3, 2018

@sooheelee This is NOT ready to merge -- it needs another review pass from me, and likely some additional changes.

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Alright. Just hopeful that I can take stock of what remains for documentation this weekend. I am looking into an octopus merge now.

@droazen droazen assigned droazen and unassigned jamesemery Jan 6, 2018
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droazen commented Jan 6, 2018

Do not merge -- I'm taking this & the other argument-renaming branches over to modify them for consistency and get them merged before Monday.

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droazen commented Jan 8, 2018

Ugh, this branch was a complete nightmare to rebase...

@droazen droazen changed the title Docs cleanup for GATK4 release and SplitNCigarReads change Docs/Args cleanup for HaplotypeCaller and other tools, and SplitNCigarReads change Jan 8, 2018
@droazen droazen force-pushed the ldg_releaseDocs branch 2 times, most recently from 75b6721 to 9615f62 Compare January 8, 2018 15:31
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droazen commented Jan 8, 2018

This one is (finally!) good to go once tests pass.

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👍

* Lots of docs changed, args kebabed, integration tests args updated
* Refactor SplitNCigarReads and add MQ read transformer
@droazen droazen merged commit f26cb5d into master Jan 8, 2018
@droazen droazen deleted the ldg_releaseDocs branch January 8, 2018 16:34
lucidtronix pushed a commit that referenced this pull request Jan 12, 2018
* Lots of docs changed, args kebabed, integration tests args updated
* Refactor SplitNCigarReads and add MQ read transformer
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