From 789ad8ab03b89c3dfccd16d8d9e53008c1819b1a Mon Sep 17 00:00:00 2001
From: PopSim-bot <graham.gower+popsim-bot@gmail.com>
Date: Fri, 13 Dec 2024 06:42:49 +0000
Subject: [PATCH] Automated doc build for refs/heads/main

---
 ...og_anapla_models_mallardblackduck_2l19.png | Bin 37547 -> 38278 bytes
 ...g_homsap_models_americanadmixture_4b11.png | Bin 73172 -> 73956 bytes
 ...catalog_homsap_models_outofafrica_2t12.png | Bin 53006 -> 52740 bytes
 ...catalog_homsap_models_outofafrica_3g09.png | Bin 70170 -> 70557 bytes
 ...catalog_homsap_models_outofafrica_4j17.png | Bin 71277 -> 72582 bytes
 ...odels_outofafricaarchaicadmixture_5r19.png | Bin 75355 -> 75721 bytes
 ...aextendedneandertaladmixturepulse_3i21.png | Bin 31303 -> 31311 bytes
 ...homsap_models_papuansoutofafrica_10j19.png | Bin 64421 -> 63079 bytes
 ...orysat_models_bottleneckmigration_3c07.png | Bin 59804 -> 57756 bytes
 ...catalog_pantro_models_bonoboghost_4k19.png | Bin 40702 -> 40582 bytes
 ..._catalog_ponabe_models_twospecies_2l11.png | Bin 45586 -> 45467 bytes
 main/_sources/tutorial.rst.txt                |  73 ++++++++++++++++++
 main/objects.inv                              | Bin 4065 -> 4122 bytes
 main/searchindex.js                           |   2 +-
 main/tutorial.html                            |  63 +++++++++++++++
 15 files changed, 137 insertions(+), 1 deletion(-)

diff --git a/main/_images/sec_catalog_anapla_models_mallardblackduck_2l19.png b/main/_images/sec_catalog_anapla_models_mallardblackduck_2l19.png
index ae70a39733185e78de72a37e172d31b4e6cd6c42..b589e05c8754362541039be209adbfbdcf63a5ba 100644
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diff --git a/main/_sources/tutorial.rst.txt b/main/_sources/tutorial.rst.txt
index e061187..752bcf9 100644
--- a/main/_sources/tutorial.rst.txt
+++ b/main/_sources/tutorial.rst.txt
@@ -1439,6 +1439,79 @@ To make the example quick, we've only simulated the first 100Kb;
 a more realistic example would apply it to the exons, available
 as a :ref:`annotation <sec_catalog_phosin_annotations>`.
 
+.. _sec_tute_recapitation:
+
+Tips, tricks, and gotchas
+=========================
+
+Here are a few things about the whole process that it might be useful to know.
+Maybe this will save you some time,
+or let you do new things!
+
+.. _sec_tute_missing_data:
+
+Missing data and coordinates
+----------------------------
+
+Suppose as above that we've simulated just a portion of a chromosome,
+using the `left` and `right` arguments to `species.get_contig( )`:
+
+.. code-block:: python
+
+    species = stdpopsim.get_species("HomSap")
+    model = species.get_demographic_model("Africa_1T12")
+    contig = species.get_contig(
+        "chr22", left=10e6, right=20e6, mutation_rate=model.mutation_rate
+    )
+    samples = {"AFR": 100}
+    engine = stdpopsim.get_engine("msprime")
+    ts = engine.simulate(model, contig, samples)
+    print(
+        f"Sequence length: {ts.sequence_length}\n"
+        f"  First variant: {ts.sites_position[0]}\n"
+        f"   Last variant: {ts.sites_position[-1]}\n"
+    )
+    # Sequence length: 50818468.0
+    #   First variant: 10000142.0
+    #    Last variant: 19999926.0
+
+
+We would like the output to preserve the coordinate system,
+so all variants we'd see in a VCF file (for instance) are between
+10Mb and 20Mb. (And, if you're just getting a VCF, then no need to read
+the rest of this!) However, for the tree sequence to
+retain the same coordinates, it must start at position 0,
+and end at the sequence length of human chromosome 22.
+So, the rest of the tree sequence contains "misssing data",
+which is encoded as, basically, a big "tree" where no-one is
+related to anyone else on those segments (in other words,
+before 10Mb and after 20Mb).
+
+This can lead to surprising things.
+For instance, the first tree (the tree describing relationships
+at position 0 along the sequence) has 200 roots:
+
+.. code-block:: python
+
+    t = ts.first()
+    t.num_roots
+    # 200
+
+Of course, that's just one root per sample: in other words,
+there's actually no trees on this portion of the genome.
+If we check all the trees using the `root_threshold` argument
+to :meth:`tskit.TreeSequence.trees`, then we'll correctly see
+that in fact all trees have fully coalesced (as they should have,
+because as discussed above, we have recapitated them):
+
+.. code-block:: python
+
+    max([t.num_roots for t in ts.trees(root_threshold=2)])
+    # 1
+
+To read more about using tree sequences,
+see `tskit's documentation <https://tskit.dev/tskit/docs/latest/data-model.html>`__.
+
 .. _sec_tute_analyses:
 
 *******************************
diff --git a/main/objects.inv b/main/objects.inv
index 8e6b20157dd425012a6cee245734c100c6060579..1dc633ae918814c20b21fffe5f9a60a640cb4175 100644
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diff --git a/main/searchindex.js b/main/searchindex.js
index a311d09..fef02d9 100644
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+++ b/main/searchindex.js
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1, "", "mutation_types"], [0, 2, 1, "", "origin"], [0, 1, 1, "", "species_contig"]], "stdpopsim.DFE": [[0, 1, 1, "", "register_qc"]], "stdpopsim.DemographicModel": [[0, 1, 1, "", "get_sample_sets"], [0, 1, 1, "", "get_samples"], [0, 1, 1, "", "register_qc"]], "stdpopsim.Engine": [[0, 1, 1, "", "get_version"], [0, 1, 1, "", "simulate"]], "stdpopsim.Genome": [[0, 1, 1, "", "from_data"], [0, 1, 1, "", "get_chromosome"], [0, 2, 1, "", "mean_gene_conversion_fraction"], [0, 2, 1, "", "mean_mutation_rate"], [0, 2, 1, "", "mean_recombination_rate"], [0, 2, 1, "", "range_gene_conversion_lengths"]], "stdpopsim.MutationType": [[0, 2, 1, "", "is_neutral"]], "stdpopsim.Population": [[0, 1, 1, "", "asdict"]], "stdpopsim.Species": [[0, 1, 1, "", "get_annotations"], [0, 1, 1, "", "get_contig"], [0, 1, 1, "", "get_demographic_model"], [0, 1, 1, "", "get_dfe"]], "stdpopsim.engines": [[0, 0, 1, "", "_MsprimeEngine"]], "stdpopsim.engines._MsprimeEngine": [[0, 3, 1, "", "description"], [0, 3, 1, "", "id"], [0, 1, 1, "", "simulate"]], "stdpopsim.slim_engine": [[0, 0, 1, "", "_SLiMEngine"]], "stdpopsim.slim_engine._SLiMEngine": [[0, 3, 1, "", "description"], [0, 3, 1, "", "id"], [0, 1, 1, "", "recap_and_rescale"], [0, 1, 1, "", "simulate"]]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:property", "3": "py:attribute", "4": "py:function"}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "property", "Python property"], "3": ["py", "attribute", "Python attribute"], "4": ["py", "function", "Python function"]}, "titleterms": {"api": [0, 1, 8], "quick": [0, 6], "refer": 0, "speci": [0, 4, 8], "definit": 0, "demograph": [0, 1, 4, 8], "model": [0, 1, 4, 8], "gene": [0, 8], "convers": 0, "bacteri": 0, "recombin": [0, 4], "select": [0, 8], "dfe": [0, 1, 4, 8], "sweep": [0, 8], "gener": [0, 1, 8], "simul": [0, 8], "engin": [0, 8], "catalog": 1, "aed": 1, "aegypti": 1, "genom": [1, 8], "ana": 1, "platyrhyncho": 1, "north": 1, "american": 1, "mallard": 1, "black": 1, "duck": 1, "split": 1, "anoli": 1, "carolinensi": 1, "anophel": 1, "gambia": 1, "stairwayplot": 1, "estim": 1, "n": 1, "t": 1, "gabon": 1, "sampl": [1, 8], "mellifera": 1, "arabidopsi": 1, "thaliana": 1, "genet": [1, 3, 4, 8], "map": [1, 3, 4, 8], "salomeaveraged_tair10": 1, "south": 1, "middl": 1, "atla": 1, "piecewis": 1, "constant": 1, "size": 1, "african": 1, "two": 1, "epoch": 1, "three": 1, "annot": [1, 4], "araport_11_exon": 1, "araport_11_cd": 1, "distribut": 1, "fit": 1, "effect": 1, "gamma_h18": 1, "bo": 1, "tauru": 1, "holstein": 1, "friesian": 1, "cattl": 1, "macleod": 1, "et": 1, "al": 1, "2013": 1, "boitard": 1, "2016": 1, "fleckvieh": 1, "jersei": 1, "angu": 1, "caenorhabd": 1, "elegan": 1, "rockmanriail_ce11": 1, "cani": 1, "familiari": 1, "campbell2016_canfam3_1": 1, "chlamydomona": 1, "reinhardtii": 1, "drosophila": [1, 8], "melanogast": [1, 8], "comeroncrossover_dm6": 1, "comeroncrossoverv2_dm6": 1, "popul": 1, "european": 1, "flybase_bdgp6": 1, "32": 1, "51_exon": 1, "51_cd": 1, "gamma_h17": 1, "lognormalpluspositive_r16": 1, "sechellia": 1, "escherichia": 1, "coli": 1, "gasterosteu": 1, "aculeatu": 1, "helianthu": 1, "annuu": 1, "heliconiu": 1, "melpomen": 1, "homo": 1, "sapien": 1, "hapmapii_grch37": 1, "hapmapii_grch38": 1, "decodesexaveraged_grch36": 1, "decodesexaveraged_grch38": 1, "pyrhoacb_grch38": 1, "pyrhoasw_grch38": 1, "pyrhobeb_grch38": 1, "pyrhocdx_grch38": 1, "pyrhoceu_grch38": 1, "pyrhochb_grch38": 1, "pyrhochs_grch38": 1, "pyrhoclm_grch38": 1, "pyrhoesn_grch38": 1, "pyrhofin_grch38": 1, "pyrhogbr_grch38": 1, "pyrhogih_grch38": 1, "pyrhogwd_grch38": 1, "pyrhoibs_grch38": 1, "pyrhoitu_grch38": 1, "pyrhojpt_grch38": 1, "pyrhokhv_grch38": 1, "pyrholwk_grch38": 1, "pyrhomsl_grch38": 1, "pyrhomxl_grch38": 1, "pyrhopel_grch38": 1, "pyrhopjl_grch38": 1, "pyrhopur_grch38": 1, "pyrhostu_grch38": 1, "pyrhotsi_grch38": 1, "pyrhoyri_grch38": 1, "out": 1, "africa": 1, "an": [1, 8], "extend": 1, "puls": 1, "neandert": 1, "admixtur": 1, "archaic": 1, "period": 1, "growth": 1, "declin": 1, "multi": 1, "ancient": 1, "eurasia": 1, "papuan": 1, "ashkenazi": 1, "jewish": 1, "substructur": 1, "4": [1, 8], "europ": 1, "ensembl_havana_104_exon": 1, "ensembl_havana_104_cd": 1, "gamma_k17": 1, "lognormal_h17": 1, "mixed_k23": 1, "mu": 1, "musculu": 1, "m": 1, "domesticu": 1, "oryza": 1, "sativa": 1, "bottleneck": 1, "migrat": 1, "origin": 1, "domest": 1, "rice": 1, "varieti": 1, "pan": 1, "troglodyt": 1, "ghost": 1, "bonobo": 1, "papio": 1, "anubi": 1, "pyrho_panubis1_0": 1, "smc": 1, "individu": 1, "phocoena": 1, "sinu": 1, "vaquita": 1, "phocoena_sinu": 1, "mphosin1": 1, "pri": 1, "110_exon": 1, "110_cd": 1, "gamma_r22": 1, "pongo": 1, "abelii": 1, "naterpa_ponabe3": 1, "naterpp_ponabe3": 1, "orangutan": 1, "streptococcu": 1, "agalactia": 1, "changelog": 2, "0": 2, "2": [2, 8], "1a": 2, "2024": 2, "07": 2, "06": 2, "2022": 2, "11": 2, "01": 2, "1": [2, 8], "2020": 2, "05": 2, "29": 2, "02": 2, "2019": 2, "12": 2, "18": 2, "command": [3, 8], "line": [3, 8], "option": [3, 8], "posit": 3, "argument": 3, "name": [3, 4], "msprime": 3, "specif": 3, "paramet": [3, 4], "slim": [3, 8], "sub": 3, "aedaeg": 3, "anapla": 3, "anocar": 3, "anogam": 3, "apimel": 3, "aratha": 3, "bostau": 3, "caeel": 3, "canfam": 3, "chlrei": 3, "dromel": 3, "drosec": 3, "esccol": 3, "gasacu": 3, "helann": 3, "helmel": 3, "homsap": 3, "musmu": 3, "orysat": 3, "pantro": 3, "papanu": 3, "phosin": 3, "ponab": 3, "straga": 3, "download": 3, "develop": 4, "instal": [4, 6], "us": [4, 8], "virtual": 4, "environ": 4, "github": 4, "workflow": 4, "pre": 4, "commit": 4, "check": [4, 8], "rebas": 4, "when": 4, "goe": 4, "wrong": 4, "ad": 4, "new": 4, "which": 4, "inform": 4, "do": 4, "i": 4, "need": 4, "have": 4, "my": 4, "get": [4, 7], "set": [4, 8], "up": [4, 8], "add": 4, "code": 4, "test": 4, "your": 4, "submit": 4, "pr": 4, "overview": 4, "stdpopsim": [4, 5, 8], "review": 4, "process": 4, "implement": 4, "what": 4, "ar": 4, "appropri": 4, "tabl": [4, 5], "doc": 4, "lift": 4, "over": 4, "standard": 4, "convent": 4, "unit": 4, "coverag": 4, "document": [4, 5], "make": 4, "releas": 4, "welcom": 5, "s": 5, "content": 5, "indic": 5, "requir": 6, "conda": 6, "start": 6, "pip": 6, "run": [6, 8], "cli": [6, 8], "introduct": 7, "first": [7, 8], "step": 7, "involv": 7, "citat": 7, "licenc": 7, "usag": 7, "tutori": 8, "interfac": 8, "A": 8, "choos": 8, "contig": 8, "scheme": 8, "convert": 8, "output": 8, "vcf": 8, "specifi": 8, "scale": 8, "factor": 8, "debug": 8, "from": 8, "python": 8, "publish": 8, "pick": 8, "saniti": 8, "tree": 8, "sequenc": 8, "exampl": 8, "other": 8, "The": 8, "burn": 8, "script": 8, "incorpor": 8, "wide": 8, "singl": 8, "3": 8, "exon": 8, "5": 8, "one": 8, "anoth": 8, "tip": 8, "trick": 8, "gotcha": 8, "miss": 8, "data": 8, "coordin": 8, "analys": 8, "calcul": 8, "diverg": 8, "dataset": 8, "plot": 8, "allel": 8, "frequenc": 8, "spectrum": 8, "af": 8}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinx": 56}})
\ No newline at end of file
diff --git a/main/tutorial.html b/main/tutorial.html
index 67e6931..e0aff6f 100644
--- a/main/tutorial.html
+++ b/main/tutorial.html
@@ -97,6 +97,10 @@
 <li class="toctree-l4"><a class="reference internal" href="#using-a-dfe-from-one-species-in-another-species">5.  Using a DFE from one species in another species</a></li>
 </ul>
 </li>
+<li class="toctree-l3"><a class="reference internal" href="#tips-tricks-and-gotchas">Tips, tricks, and gotchas</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#missing-data-and-coordinates">Missing data and coordinates</a></li>
+</ul>
+</li>
 </ul>
 </li>
 <li class="toctree-l2"><a class="reference internal" href="#example-analyses-with-stdpopsim">Example analyses with stdpopsim</a><ul>
@@ -1485,6 +1489,65 @@ <h5>Outputting the <code class="docutils literal notranslate"><span class="pre">
 as a <a class="reference internal" href="catalog.html#sec_catalog_phosin_annotations"><span class="std std-ref">annotation</span></a>.</p>
 </section>
 </section>
+<section id="tips-tricks-and-gotchas">
+<span id="sec-tute-recapitation"></span><h3>Tips, tricks, and gotchas<a class="headerlink" href="#tips-tricks-and-gotchas" title="Permalink to this heading"></a></h3>
+<p>Here are a few things about the whole process that it might be useful to know.
+Maybe this will save you some time,
+or let you do new things!</p>
+<section id="missing-data-and-coordinates">
+<span id="sec-tute-missing-data"></span><h4>Missing data and coordinates<a class="headerlink" href="#missing-data-and-coordinates" title="Permalink to this heading"></a></h4>
+<p>Suppose as above that we’ve simulated just a portion of a chromosome,
+using the <cite>left</cite> and <cite>right</cite> arguments to <cite>species.get_contig( )</cite>:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">species</span> <span class="o">=</span> <span class="n">stdpopsim</span><span class="o">.</span><span class="n">get_species</span><span class="p">(</span><span class="s2">&quot;HomSap&quot;</span><span class="p">)</span>
+<span class="n">model</span> <span class="o">=</span> <span class="n">species</span><span class="o">.</span><span class="n">get_demographic_model</span><span class="p">(</span><span class="s2">&quot;Africa_1T12&quot;</span><span class="p">)</span>
+<span class="n">contig</span> <span class="o">=</span> <span class="n">species</span><span class="o">.</span><span class="n">get_contig</span><span class="p">(</span>
+    <span class="s2">&quot;chr22&quot;</span><span class="p">,</span> <span class="n">left</span><span class="o">=</span><span class="mf">10e6</span><span class="p">,</span> <span class="n">right</span><span class="o">=</span><span class="mf">20e6</span><span class="p">,</span> <span class="n">mutation_rate</span><span class="o">=</span><span class="n">model</span><span class="o">.</span><span class="n">mutation_rate</span>
+<span class="p">)</span>
+<span class="n">samples</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;AFR&quot;</span><span class="p">:</span> <span class="mi">100</span><span class="p">}</span>
+<span class="n">engine</span> <span class="o">=</span> <span class="n">stdpopsim</span><span class="o">.</span><span class="n">get_engine</span><span class="p">(</span><span class="s2">&quot;msprime&quot;</span><span class="p">)</span>
+<span class="n">ts</span> <span class="o">=</span> <span class="n">engine</span><span class="o">.</span><span class="n">simulate</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">contig</span><span class="p">,</span> <span class="n">samples</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span>
+    <span class="sa">f</span><span class="s2">&quot;Sequence length: </span><span class="si">{</span><span class="n">ts</span><span class="o">.</span><span class="n">sequence_length</span><span class="si">}</span><span class="se">\n</span><span class="s2">&quot;</span>
+    <span class="sa">f</span><span class="s2">&quot;  First variant: </span><span class="si">{</span><span class="n">ts</span><span class="o">.</span><span class="n">sites_position</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="se">\n</span><span class="s2">&quot;</span>
+    <span class="sa">f</span><span class="s2">&quot;   Last variant: </span><span class="si">{</span><span class="n">ts</span><span class="o">.</span><span class="n">sites_position</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="se">\n</span><span class="s2">&quot;</span>
+<span class="p">)</span>
+<span class="c1"># Sequence length: 50818468.0</span>
+<span class="c1">#   First variant: 10000142.0</span>
+<span class="c1">#    Last variant: 19999926.0</span>
+</pre></div>
+</div>
+<p>We would like the output to preserve the coordinate system,
+so all variants we’d see in a VCF file (for instance) are between
+10Mb and 20Mb. (And, if you’re just getting a VCF, then no need to read
+the rest of this!) However, for the tree sequence to
+retain the same coordinates, it must start at position 0,
+and end at the sequence length of human chromosome 22.
+So, the rest of the tree sequence contains “misssing data”,
+which is encoded as, basically, a big “tree” where no-one is
+related to anyone else on those segments (in other words,
+before 10Mb and after 20Mb).</p>
+<p>This can lead to surprising things.
+For instance, the first tree (the tree describing relationships
+at position 0 along the sequence) has 200 roots:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">t</span> <span class="o">=</span> <span class="n">ts</span><span class="o">.</span><span class="n">first</span><span class="p">()</span>
+<span class="n">t</span><span class="o">.</span><span class="n">num_roots</span>
+<span class="c1"># 200</span>
+</pre></div>
+</div>
+<p>Of course, that’s just one root per sample: in other words,
+there’s actually no trees on this portion of the genome.
+If we check all the trees using the <cite>root_threshold</cite> argument
+to <a class="reference external" href="https://tskit.dev/tskit/docs/stable/python-api.html#tskit.TreeSequence.trees" title="(in Project name not set)"><code class="xref py py-meth docutils literal notranslate"><span class="pre">tskit.TreeSequence.trees()</span></code></a>, then we’ll correctly see
+that in fact all trees have fully coalesced (as they should have,
+because as discussed above, we have recapitated them):</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="nb">max</span><span class="p">([</span><span class="n">t</span><span class="o">.</span><span class="n">num_roots</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">ts</span><span class="o">.</span><span class="n">trees</span><span class="p">(</span><span class="n">root_threshold</span><span class="o">=</span><span class="mi">2</span><span class="p">)])</span>
+<span class="c1"># 1</span>
+</pre></div>
+</div>
+<p>To read more about using tree sequences,
+see <a class="reference external" href="https://tskit.dev/tskit/docs/latest/data-model.html">tskit’s documentation</a>.</p>
+</section>
+</section>
 </section>
 <section id="example-analyses-with-stdpopsim">
 <span id="sec-tute-analyses"></span><h2>Example analyses with stdpopsim<a class="headerlink" href="#example-analyses-with-stdpopsim" title="Permalink to this heading"></a></h2>