Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for python somatic variants
python
x
somatic-variants
x
16 search results found
Somaticseq
⭐
185
An ensemble approach to accurately detect somatic mutations using SomaticSeq
Sigprofilerextractor
⭐
132
SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
Neusomatic
⭐
124
NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection
Sigprofilermatrixgenerator
⭐
91
SigProfilerMatrixGenerator creates mutational matrices for all types of somatic mutations. It allows downsizing the generated mutations only to parts for the genome (e.g., exome or a custom BED file). The tool seamlessly integrates with other SigProfiler tools.
Sv Callers
⭐
52
Snakemake-based workflow for detecting structural variants in genomic data
Monopogen
⭐
50
SNV calling from single cell sequencing
Sigprofilerplotting
⭐
43
SigProfilerPlotting provides a standard tool for displaying all types of mutational signatures as well as all types of mutational patterns in cancer genomes. The tool seamlessly integrates with other SigProfiler tools.
Clairs
⭐
42
ClairS - a deep-learning method for long-read somatic small variant calling
2020plus
⭐
39
Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Helmsman
⭐
19
highly-efficient & lightweight mutation signature matrix aggregation
Clairs To
⭐
18
ClairS-TO - a deep-learning method for tumor-only somatic SNV calling
Sigprofilersimulator
⭐
18
SigProfilerSimulator allows realistic simulations of mutational patterns and mutational signatures in cancer genomes. The tool can be used to simulate signatures of single point mutations, double point mutations, and insertion/deletions. Further, the tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.
Sigprofilertopography
⭐
13
SigProfilerTopography allows evaluating the effect of chromatin organization, histone modifications, transcription factor binding, DNA replication, and DNA transcription on the activities of different mutational processes. SigProfilerTopography elucidates the unique topographical characteristics of mutational signatures.
Genome Seek
⭐
12
Clinical Whole Genome Sequencing Pipeline
Ngs Pipeline
⭐
12
Pipeline for Somatic Variant Calling with WES and WGS data
Probabilistic2020
⭐
6
Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test
Related Searches
Python Django (28,897)
Python Deep Learning (22,754)
Python Machine Learning (20,195)
Python Flask (17,643)
Python Dataset (14,793)
Python Docker (14,113)
Python Tensorflow (13,736)
Python Command Line (13,351)
Python Jupyter Notebook (12,976)
Python Network (11,495)
1-16 of 16 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.