Results for “rasm2”

Convert Lanelet2 maps (.osm) to RoadRunner HD Map (.rrhd) format using MATLAB. Use when converting Lanelet2 maps into RoadRunner Scene Builder, building driving scenes from open-source map data, or transforming road network definitions for simulation.

Use when aligning RNA-seq reads to a reference genome using graph-based indexing for fast and sensitive spliced alignment.

Use when converting compatible BLAST annotation XML/ASN streams into a compact gene-markup-style table for downstream EDirect interval helpers.

Develop, migrate, and debug ROS 1 and ROS 2 robotics projects with support for build systems, navigation, control, simulation, and embedded integration.

NLVR2: A Visual Reasoning Benchmark for Natural Language

Computes the R2Score metric using torchmetrics, handling single and multi-output predictions with options for adjusted and variance-weighted scores.

Use when aligning short reads to a reference genome or indexed sequence database. Suitable for mapping FASTQ/FASTA reads in paired-end or single-end mode to produce SAM output.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

Generate, store, rotate, and manage RSA key pairs following NIST SP 800-57 guidelines, including key serialization, passphrase protection, and key strength validation.

Perform differential gene expression analysis for bulk RNA-seq data using PyDESeq2, supporting formulaic designs, Wald tests, FDR correction, LFC shrinkage, and result visualization.

Process and analyze mass spectrometry data: import spectra from MGF, mzML, MSP, and JSON formats; apply 40+ filters for metadata harmonization and peak cleaning; compute spectral similarities (cosine, modified cosine) for compound identification; build reproducible processing pipelines.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

Architect C2 redirectors with nginx and Apache, derive filter rules from malleable profiles, and apply OPSEC controls for resilient red-team infrastructure.

BISON v2.0 — Conviction Holder (Hardened). Top 10 assets by volume. All signals are score contributors — no hard gates. Scanner enters via create_position internally (Wolverine pattern). RatchetStop exits. Thesis exit REMOVED. v2.0: every hard gate converted to score contributor, ensureExecutionAsTaker=false, conviction-scaled margin 25-37%.

Analyze Zeek conn.log and NetFlow data to detect ransomware network indicators including C2 beaconing, TOR exit node connections, data exfiltration, and suspicious DNS patterns.

Template do pack (backend/09-rust-axum.md). Orienta o agente em APIs, servicos e arquitetura backend alinhado a esse contexto.

Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.

DINOv2 for Dense Prediction Tasks

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

Rust systems programming language. Covers ownership, borrowing, lifetimes, async/await, error handling, and Cargo. Use for high-performance backend systems. USE WHEN: user mentions "rust", "ownership", "borrowing", "lifetimes", asks about "borrow checker", "cargo", "traits", "Result type", "async rust", "tokio" DO NOT USE FOR: Actix/Axum/Rocket frameworks - use framework-specific skills DO NOT USE FOR: WASM - use WebAssembly-specific skill DO NOT USE FOR: Tauri - use `tauri` skill instead

Use when converting NCBI-style ASN.1 payloads into XML for downstream EDirect or XML-based processing.

Provides expert guidance on modern Rust development, covering async patterns, advanced type system features, and production-ready systems programming.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.