GitHub topics: mutation-rate
0-Ioniel-0/guppy_MR
Repository for scripts used to estimate guppy (Poecilia reticulata) mutation rate.
Language: Python - Size: 665 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1
CaiLiLab/MuRaL
MuRaL is a deep learning framework for estimating single-nucleotide mutation rates across the genome.
Language: Python - Size: 37.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 16 - Forks: 7
j3551ca/BEAST-FLOW
Nextflow pipeline for estimation of evolutionary rate using Bayesian statistics.
Language: Nextflow - Size: 314 KB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
rcs333/frequency-scanner
Reports frequency of all single nucleotide changes for a group of fastq files
Language: Python - Size: 27.3 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
vmsatya/SequentialTherapySecondCancer
We employed a biologically motivated mathematical model to estimate the radiation and chemotherapy-induced relative risks of thyroid malignancies in four childhood cancer study survivors (CCSS) data sets. the predictions of radiation and chemotherapy-induced relative risks of secondary thyroid malignancies using the mathematical model are compared against four clinical datasets from the CCSS cohort. Moreover, the extracted average value of growth rate of premalignant cells is 0.8175 (per day) and the extracted chemo-induced mutation rate is of the order of 10(−10) (per unit of chemotherapeutic dose).
Language: Matlab - Size: 144 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
vmsatya/ConcurrentTherapySecondCancer
A biologically motivated mathematical formalism is used to estimate the relative risks of breast, lung and thyroid cancers in childhood cancer survivors due to concurrent therapy regimen. This model specifically includes possible organ-specific interaction between radiotherapy and chemotherapy. The model predicts relative risks for developing secondary cancers after chemotherapy in breast, lung and thyroid tissues, and compared with the epidemiological data.
Language: Matlab - Size: 608 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1