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48 changes: 47 additions & 1 deletion assets/references/genome-mapping.bib
Original file line number Diff line number Diff line change
Expand Up @@ -71,4 +71,50 @@ @article{Cingolani2012
year = {2012},
month = apr,
pages = {80–92}
}
}

@ARTICLE{Bos2014-xe,
title = "Pre-Columbian mycobacterial genomes reveal seals as a source of
New World human tuberculosis",
author = "Bos, Kirsten I and Harkins, Kelly M and Herbig, Alexander and
Coscolla, Mireia and Weber, Nico and Comas, Iñaki and Forrest,
Stephen A and Bryant, Josephine M and Harris, Simon R and
Schuenemann, Verena J and Campbell, Tessa J and Majander, Kerttu
and Wilbur, Alicia K and Guichon, Ricardo A and Wolfe Steadman,
Dawnie L and Cook, Della Collins and Niemann, Stefan and Behr,
Marcel A and Zumarraga, Martin and Bastida, Ricardo and Huson,
Daniel and Nieselt, Kay and Young, Douglas and Parkhill, Julian
and Buikstra, Jane E and Gagneux, Sebastien and Stone, Anne C and
Krause, Johannes",
journal = "Nature",
volume = 514,
number = 7523,
pages = "494--497",
abstract = "Modern strains of Mycobacterium tuberculosis from the Americas are
closely related to those from Europe, supporting the assumption
that human tuberculosis was introduced post-contact. This notion,
however, is incompatible with archaeological evidence of
pre-contact tuberculosis in the New World. Comparative genomics of
modern isolates suggests that M. tuberculosis attained its
worldwide distribution following human dispersals out of Africa
during the Pleistocene epoch, although this has yet to be
confirmed with ancient calibration points. Here we present three
1,000-year-old mycobacterial genomes from Peruvian human
skeletons, revealing that a member of the M. tuberculosis complex
caused human disease before contact. The ancient strains are
distinct from known human-adapted forms and are most closely
related to those adapted to seals and sea lions. Two independent
dating approaches suggest a most recent common ancestor for the M.
tuberculosis complex less than 6,000 years ago, which supports a
Holocene dispersal of the disease. Our results implicate sea
mammals as having played a role in transmitting the disease to
humans across the ocean.",
month = oct,
year = 2014,
url = "http://dx.doi.org/10.1038/nature13591",
doi = "10.1038/nature13591",
pmc = "PMC4550673",
pmid = 25141181,
issn = "0028-0836,1476-4687",
language = "en"
}
32 changes: 32 additions & 0 deletions authentication.qmd
Original file line number Diff line number Diff line change
Expand Up @@ -1011,6 +1011,38 @@ And click "Open folder"
You can double-click on the pdf files to visualise them.
:::


## (Optional) clean-up

Let's clean up our working directory by removing all the data and output from this chapter.

The command below will remove the `/<PATH>/<TO>/authentication` _as well as all of its contents_.

::: {.callout-tip}
## Pro Tip
Always be VERY careful when using `rm -r`.
Check 3x that the path you are specifying is exactly what you want to delete and nothing more before pressing ENTER!
:::

```bash
rm -r /<PATH>/<TO>/authentication*
```

Once deleted we can move elsewhere (e.g. `cd ~`).

We can also get out of the `conda` environment with.

```bash
conda deactivate
```

Then to delete the conda environment.

```bash
conda remove --name authentication --all -y
```


## Summary

In addition, we:
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4 changes: 2 additions & 2 deletions contamination.qmd
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Expand Up @@ -121,7 +121,7 @@ Let us now discuss a few available computational approaches to decontaminate met

### recentrifuge

Another popular tool for detecting contaminating microorganisms is [Recentrifuge](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006967). It works as a classifier that is trained to recognize contaminant microbial organisms. In case of Recentrifuge, one has to use blanks or other negative controls and provide microbial names and abundances on the blanks in order to train Recentrifuge to recognize endogenous vs. contaminant sources.
Another popular tool for detecting contaminating microorganisms is [Recentrifuge](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006967). It works as a classifier that is trained to recognise contaminant microbial organisms. In case of Recentrifuge, one has to use blanks or other negative controls and provide microbial names and abundances on the blanks in order to train Recentrifuge to recognise endogenous vs. contaminant sources.

### cuperdec

Expand Down Expand Up @@ -436,7 +436,7 @@ In this chapter we have learned that:

## Questions to think about

1. What is a false-positive microbial finding and how can we recognize it?
1. What is a false-positive microbial finding and how can we recognise it?
2. What is contamination and how can it bias ancient metagenomic analysis?
3. What is a negative (blank) control sample and why is it useful to have?
4. What is microbial source tracking and how can it help with decontamination?
Expand Down
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