Packs
1 packResults for “pe-files”
18 skills
k-dense-ai geniml
Train unsupervised machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.
30.2k · bundle
mukul975 analyzing-cobalt-strike-beacon-configuration
Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.
24.6k · bundle
mukul975 performing-static-malware-analysis-with-pe-studio
Performs static analysis of Windows PE malware samples using PEStudio to examine file headers, imports, strings, resources, and indicators without executing the binary.
24.6k · bundle
mukul975 performing-windows-artifact-analysis-with-eric-zimmerman-too
Parse and analyze Windows forensic artifacts including MFT, registry hives, prefetch files, event logs, LNK files, and jump lists using Eric Zimmerman's EZ Tools suite and KAPE.
24.6k · bundle
comeonoliver gwas-prs
Calculates polygenic risk scores from 23andMe or AncestryDNA genotype files using PGS Catalog scoring files, then estimates population percentiles and risk categories.
61
lingxling geniml
Trains machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.
253 · bundle
More results
k-dense-ai biopython
Manipulate biological sequences, parse FASTA/GenBank/PDB files, access NCBI databases, run BLAST searches, and perform phylogenetics using the Biopython library.
30.2k · bundle
mukul975 performing-steganography-detection
Detect and extract hidden data embedded in images, audio, and other media files using steganalysis tools to uncover covert communication channels.
24.6k · bundle
mukul975 performing-network-packet-capture-analysis
Analyze network packet captures (PCAP/PCAPNG) using Wireshark, tshark, tcpdump, and Python to reconstruct communications, extract files, and identify malicious traffic.
24.6k · bundle
schattenspiegel polars-python
Write, review, debug, test, and optimize Python Polars code with version-grounded object types, schemas, and execution boundaries.
0 · bundle
mukul975 analyzing-network-traffic-of-malware
Analyzes malware-generated network traffic from PCAP files to identify C2 protocols, data exfiltration, DNS tunneling, and beaconing patterns using Wireshark, Zeek, Suricata, and Python.
24.6k · bundle
k-dense-ai pyopenms
Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.
30.2k · bundle
mukul975 analyzing-disk-image-with-autopsy
Perform comprehensive forensic analysis of disk images using Autopsy to recover files, examine artifacts, and build investigation timelines.
24.6k · bundle
tools-only 187-step-459c2d7b
Guides analysis of Neuropixels recordings from raw data to curated units, covering preprocessing, motion correction, spike sorting, quality metrics, and export.
7 · bundle
openai security-ownership-map
Analyze git repositories to build a security ownership topology mapping people to files, compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.
23.3k · bundle
mukul975 performing-network-traffic-analysis-with-tshark
Automates packet capture analysis using tshark and pyshark to extract protocol statistics, detect suspicious flows, identify IOCs, and analyze DNS anomalies from PCAP files.
24.6k · bundle
lingxling gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
253 · bundle
k-dense-ai gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
30.2k · bundle