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vcHMM

Implementation of Hidden Markov Model (Viterbi) algorithm for the identification of sequence variants.

Milestone Chart

Milestone Scheduled Beginn Scheduled Completion Finished
Project Plan 13.11.2019 20.11.2019
Data Management Plan 13.11.2019 20.11.2019
Data acquisition 20.11.2019 24.11.2019
Working algorithm 25.11.2019 20.12.2019
transition matrix
update ref and sam
emission matrix
HMM viterbi
Comparison with other tools 21.12.2019 29.12.2019
Report 06.01.2020 11.01.2020
Hand in 12.01.2020
Presentation 20.01.2020

Data

General info
ftp://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/

Data that we need:
ftp://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/NA12878/CompleteGenomics_normal/BAM/

Reference Sequences:
ftp://ftp-trace.ncbi.nih.gov/1000genomes/ftp/technical/reference/phase2_reference_assembly_sequence/hs37d5.fa.gz
Additional information: https://lh3.github.io/2017/11/13/which-human-reference-genome-to-use

Resources

viHMM in Matlab: https://github.com/tangmanhd/vi-HMM

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University of Tübingen: Sequence Student Project

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