https://github.com/cancerit/hairpin-wrapper
Ease-of-use wrapper around Mathijs' Sanders AdditionalBamStatistics cruciform-DNA detection algorithm
https://github.com/cancerit/hairpin2
artefact flagging algorithm based on Ellis et al. 2020 (DOI: 10.1038/s41596-020-00437-6) for LCM sequencing
https://github.com/cancerit/pycrisprcleanr
Python version of CRISPRcleanR: An R package for unsupervised identification and correction of gene independent cell responses to CRISPR-cas9 targeting
https://github.com/cancerit/casm-smart-phase
Docker and associated CASM utility scripts for Smart-Phase (https://github.com/paulhager/smart-phase)
https://github.com/cancerit/dockstore-pycrisprcleanr
Dockersised pyCRISPRcleanR
https://github.com/cancerit/cgpbigwig
BigWig manpulation tools using libBigWig and htslib
https://github.com/cancerit/c-sar
Data will be added ahead of poster/conference
https://github.com/cancerit/valiant
Variant Library Annotation Tool (VaLiAnT) is an oligonucleotide library design and annotation tool for Saturation Genome Editing and other Deep Mutational Scanning experiments
https://github.com/cancerit/indelsclassification
R function for the classification of small insertions and deletions for mutational signature analysis
https://github.com/cancerit/battenberg
Battenberg R package for subclonal copynumber estimation
https://github.com/cancerit/cgpcavemanpostprocessing
Flagging add on to CaVEMan
https://github.com/cancervariants/fusions
A repository for tracking documents, issues, and tools for the VICC / ClinGen gene fusion curation SOP
https://github.com/candlelabai/riscv_slides_drsparshmittal
Dr Sparsh's lecture slides on RISC-V ISA
https://github.com/candlelabai/memristorrobustnesstononideality
Code accompanying our manuscript on Enhancing memristor robustness to non-idealities
https://github.com/candlelabai/computerarchitecture_slides_drsparshmittal
Dr Sparsh Mittal's slides on selected topics in computer architecture
https://github.com/candlelabai/stochastic-memristor-snn
Data of "Stochastic Memristive Devices for Low Cost Learning of Spatiotemporal Signals in Spiking Neural Networks" paper published in IOP Engineering Research Express 2025
https://github.com/candlelabai/clinet-ecg-classification-2024
Source code of "CLINet: A Novel Deep Learning Network for ECG Signal Classification", accepted in Journal of Electrocardiology 2024