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add wrapper v02 with more simulations
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Isaac Shamie committed Oct 30, 2020
1 parent 05e82f8 commit 4a8b6b0
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43 changes: 43 additions & 0 deletions Analysis/simulations/binomial_growth/parameters/simple_v02.yaml
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# One set of parameters for simulating cells and their lineages
#local_outdir: 'simulation'
prefix: 'sweep_v02'

num_iterations: 1000
num_cells: 10000
num_mt_positions: 10

cpus: 36

initialize:
coverage:
type: 'constant' # {'poisson', 'constant', 'growth'}
cov_constant: 50
poisson_mu_per_cell: 50

clone_sizes: #distribution of clone sizes. The first one is the non-clone population. Length should be len(het)+1, and it should sum to 1
[0.5, 0.4, 0.1]

mt_clone_map:
# [(10), (16500)]
# [(10), (16500), (16500, 7)]

het: # Heterozygous values
[0.2, 0.2]
het_err_rate: 0.05


sequence_subsample: #10000

growth:
type: binomial
binomial:
rates: [0.1, 0.8, 0.01]
time_steps: 10
#type: poisson
poisson:
rates: [0.05, 1, 0.9]
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: False


17 changes: 17 additions & 0 deletions Analysis/simulations/binomial_growth/parameters/sweep_v02.yaml
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# One set of parameters for simulating cells and their lineages
outdir: 'results'
prefix: 'sweep_v02'
data_outdir: 'data/out'
#num_iterations: 100
#num_cells: 10000
#num_mt_positions: 10
cpus: 36

save_sim: false

grid:
cov_constant: [5, 10, 50, 100]
dominant_clone_sizes: [0.02,0.1,0.2, 0.4]
dominant_het: [0.02, 0.2, 0.5, 0.8]
dominant_growth: [0.1, 0.5, 0.8]
het_err_rate: [0.05, 0.15]
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/0.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.1
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.02
- 0.2
het_err_rate: 0.05
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 5.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '0'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/1.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.1
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.02
- 0.2
het_err_rate: 0.15
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 5.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '1'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/10.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.5
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.2
- 0.2
het_err_rate: 0.05
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 5.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '10'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/100.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.1
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.5
- 0.2
het_err_rate: 0.05
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 10.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '100'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/101.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.1
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.5
- 0.2
het_err_rate: 0.15
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 10.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '101'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/102.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.1
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.8
- 0.2
het_err_rate: 0.05
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 10.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '102'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/103.yaml
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cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.1
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.8
- 0.2
het_err_rate: 0.15
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 10.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '103'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
39 changes: 39 additions & 0 deletions Analysis/simulations/binomial_growth/results/sweep_v02/104.yaml
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@@ -0,0 +1,39 @@
cpus: 36
data_outdir: data/out/sweep_v02
growth:
binomial:
rates:
- 0.1
- 0.5
- 0.01
time_steps: 10
mutant_af_sigma_noise: 0.05
non_mutants:
to_mutate: false
poisson:
rates:
- 0.05
- 1
- 0.9
type: binomial
het:
- 0.02
- 0.2
het_err_rate: 0.05
initialize:
clone_sizes:
- 0.88
- 0.02
- 0.1
coverage:
cov_constant: 10.0
poisson_mu_per_cell: 50
type: constant
mt_clone_map: null
local_outdir: results/sweep_v02
name: '104'
num_cells: 10000
num_iterations: 1000
num_mt_positions: 10
prefix: sweep_v02
sequence_subsample: null
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