Crates.io | pattern_partition_prediction |
lib.rs | pattern_partition_prediction |
version | 0.1.4 |
source | src |
created_at | 2020-08-04 14:47:25.990478 |
updated_at | 2021-10-03 19:49:59.608886 |
description | Reading and querying k-mer pattern partition information |
homepage | |
repository | https://github.com/BesenbacherLab/pattern_partition_prediction |
max_upload_size | |
id | 272910 |
size | 26,777 |
A rust library for reading and querying point mutation probabilities.
For example, when you have an input file like this:
A->C MNAANVR 7.589541872637903e-06
A->C RNKAVKN 7.839974716364649e-06
A->G NAAATNN 2.6344844835403154e-05
A->G NRTASWD 3.8916665703091594e-05
A->T NNAATNV 5.161581369396004e-06
A->T NNHACNN 6.636144968007699e-06
C->A ANACAAN 1.9414406870708827e-05
C->A BBACVAN 1.783626464296544e-05
C->A HNRCWKN 1.1882887322469946e-05
C->G NADCYDD 1.9273637543165863e-05
C->G NCHCKNC 2.0450439690457853e-05
C->G NDNCGNN 2.3540691630409924e-05
C->G NNWCAAH 1.3384209291990454e-05
C->T DNSCYTN 5.0466135573024847e-05
C->T NCACGVN 0.0006964474916140189
C->T NHACMRA 3.95017705645649e-05
C->T NVSCGNW 0.0006052619765592556
C->A NNRCGKN 3.8108173013492654e-05
The first row tells you that a point mutation from an Adenine to Cytosine with
the IUPAC context MNA
(left)
and NVR
(right) has a probability of 7.589541872637903e-06.
This library makes it more conventient to access this information from a papapred file (the file whose's contents are shown above).