mixedibd's People
mixedibd's Issues
need to rethink this
However, for samples with closely related strains, particularly at low coverage, only \texttt{DEploidIBD} can identify the correct number of strains and their proportions.
check pairwise IBD track length
change relatedness to rho, pearson correlation to r
make figures
- 1 alt vs ref IBD hap
- 2 validation plots
- 3 alt vs ref IBD + IBD length
- 4 vs MAP
- 5 Modelling
- 6 Haplotype painting
funding info from all partners
figure 3, add size for dots to show sample size
get files off, before rescomp shut down
create corrected IBD probs file to adjust for effective K
update bib
validation update
remove everything weighted analysis, both correlation and simple linear regression
Update figure 3 with filtering out bad samples
Correlation between mixed IBD mean before and after filtering out bad samples
t = 10.032, df = 12, p-value = 3.46e-07
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
0.8318345 0.9828778
sample estimates:
cor
0.9452318
update figure 3 legend with standard country code
redo table
columns:
country, year, pfpr_include_zero, pfpr_exclude_zero, site, sample size, mean read, effective k, relatedness
DEploid-Lasso section in supplementary material
Action list
JAG
- Contact Ricard for pf6 meta data
- Filter low-quality haplotypes
JZ
- filterout mixed species samples
- check pf crosses envolope
- Repeat mixed of 2 validation using Africa samples, use 44/55, 25/75, 10/90 mixings with 3 levels of relatedness
- Figure 1
- Figure 2
- Figure 3
- Figure 5
JH
- IBD vs. MI IBD violin plot
- Classify all mixed samples from bg IBD
JZ + JH
- Figure 4
change figure 2
figure 2 and figure 2 supplement
figure2
- fig
- caption
figure 4
- fig
- caption
figure 5
- fig
- caption
ibd painting redo
fig3
- fig
- no more nigeria
- change shade from black to white
- update collapsing haplotypes
- caption
figure1
- fig
- caption
vivax deconvolution
recompute relatedness
adding explanations for -ibd -lasso and -best flags
include mixed of threes figures
pfpr update
supplement, include figure to explain error
elife structure
it goes as
Abstract
eLife digest (https://en.wikipedia.org/wiki/ELife#eLife_digests)
Introduction
Results
Discussion
Materials and methods
Decision letter
Author response
redo figures
- make two copies Figures3
- Fig3
- Fig3sup
- Fig4
- Another copy of Fig4
- Fig5
- Another copy of Fig5
Before and after filtering
figure 3, move nigera to one side
change figures from abc to ABC
write supplement
check africa simulated haplotypes
for the panel,
> mean(aa)
[1] 1060.832
> sd(aa)
[1] 85.88517
check table 1 numbers
PF0180-C strange sample, chromsome 14 only inferred 400 alt calls (1000 on average from the same population)
From the Pf3k meta data, it seems pretty normal,
sample acc study
454 PF0180-C ERS017388 1017
study_title
454 Population genetics of natural populations in Northern Ghana
contact_name contact_email country site collection_year
454 Lucas Amenga-Etego [email protected] Ghana Navrongo 2010
sample_prep bases bases_mapped bases_duplicated avg_read_length
454 4724041788 4631818296 855311135 75
mean_base_quality bases_of_1X_coverage bases_of_5X_coverage
454 25.5 23156910 23082804
bases_of_10X_coverage bases_of_50X_coverage mean_coverage
454 23005542 21841663 196.64
mean_fragment_size sd_fragment_size X.callable IsFieldSample
454 323.1 45.2 89.9 True
PreferredSample AllSamplesThisIndividual
454 True PF0180-C
DEploid result seems normal
ID Population Site Depth Est_K P1 P2 P3 P4 group relatedness
1510 PF0180-C Ghana Kassena 196.64 1 1 0 0 0 Africa2 NA
N50_IBD_Length.kb Mean_IBD_goodness cluster year eff_k
1510 NA NA <NA> 2010 1
we should acknowledge vikki
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