github.com - There is a directory for each chapter of the book. Each directory contains a test.py program you can use with pytest to check that you have written the program correctly. I have included a short README to describe each exercise....
github.com - Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome! kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs),...
github.com - Structural variant comparison tool for VCFs
Given benchmark and comparsion sets of SVs, calculate the recall, precision, and f-measure.
Spiral Genetics
Motivation
github.com - Minda is a tool for evaluating structural variant (SV) callers that
standardizes VCF records for compatibility with both germline and somatic SV callers,
benchmarks against a single VCF input file, or
benchmarks against an ensemble call set...
bioinfo.ut.ee - FastGT is a program package for whole-genome genotyping of genome variants directly from raw sequencing reads. It is written in C and runs in Linux. FastGT uses a list of variant-specific k-mer pairs that are unique in human genome, counts the...
www.mrc-lmb.cam.ac.uk - This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it.
The tutorial is divided in three main parts:
In the Sequence part, you will see how to look efficiently for a...
www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.
Keep scrolling. Using a data set about homes, we will...