Pinned Repositories
awesome-internet-scanning
A curated list of awesome Internet port and host scanners, plus related components and much more, with a focus on free and open source projects.
CS273a_EnhancersProject
Predicting the function of different regions of the genome is one of the grand challenges of genomics. In this project, you will use an existing database of tested enhancers to devise a strategy for predicting novel enhancers, using both sequence features and numerous epigenetic marks. The advent of ChIP-seq has empowered high resolution genome-wide identification of the regions with specific marks, and correlation with functional annotation has identified combinations of marks that are characteristic of active and repressed genes, enhancers, repressors, and other types of functional elements (Ernst et al 2011 “Mapping and analysis of chromatin state dynamics in nine human cell types.”). Here, you will be leveraging assays of many different marks in many different tissues to predict enhancers. In doing so, you should also identify which marks, or combinations of marks, are most discriminative in predicting enhancers.
DataVizLieWorkshop
grayscale-demo
lizizhikevich.github.io
RDeviceParser
A Rhetorical Devices Parser in PYTHON
gps
GPS is a scanning platform that learns and predicts the location of IPv4 services across all 65K ports.
LEO_HitchHiking
HitchHiking measures LEO satellite network characteristics at scale.
lzr
LZR quickly detects and fingerprints unexpected services running on unexpected ports.
stratosphere
Stratosphere uses password generation algorithms to discover publicly accessible cloud storage buckets.
LizIzhikevich's Repositories
LizIzhikevich/awesome-internet-scanning
A curated list of awesome Internet port and host scanners, plus related components and much more, with a focus on free and open source projects.
LizIzhikevich/RDeviceParser
A Rhetorical Devices Parser in PYTHON
LizIzhikevich/CS273a_EnhancersProject
Predicting the function of different regions of the genome is one of the grand challenges of genomics. In this project, you will use an existing database of tested enhancers to devise a strategy for predicting novel enhancers, using both sequence features and numerous epigenetic marks. The advent of ChIP-seq has empowered high resolution genome-wide identification of the regions with specific marks, and correlation with functional annotation has identified combinations of marks that are characteristic of active and repressed genes, enhancers, repressors, and other types of functional elements (Ernst et al 2011 “Mapping and analysis of chromatin state dynamics in nine human cell types.”). Here, you will be leveraging assays of many different marks in many different tissues to predict enhancers. In doing so, you should also identify which marks, or combinations of marks, are most discriminative in predicting enhancers.
LizIzhikevich/DataVizLieWorkshop
LizIzhikevich/grayscale-demo
LizIzhikevich/lizizhikevich.github.io
LizIzhikevich/SDSU-Datathon-Submission-2015
LizIzhikevich/Remote-Collaboration-Workshop
The tools that were used in hosting Data Science Student Society's Remote Collaboration Workshop at UCSD
LizIzhikevich/v2proxy
Web performance measurement toolkit