Results for “fasta”

Build high-performance async Python APIs with FastAPI and Pydantic V2, including REST endpoints, authentication, async database operations, and WebSocket support.

Provides production-oriented patterns for building FastAPI services, covering async endpoints, dependency injection, Pydantic schemas, OpenAPI customization, testing, and security best practices.

Provides production-grade FastAPI development patterns including project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Use when FastAPI request, dependency, response, or OpenAPI behavior interacts with Pydantic v2 models, validation, aliases, serialization, generics, or error contracts. Do not use for standalone FastAPI routing or standalone Pydantic models with no ASGI boundary.

Deploys Python web apps (Flask, Django, FastAPI) to Azure App Service Linux with automatic resource creation and framework detection.

FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Read, write, and analyze genomic datasets including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using a Pythonic interface to htslib.

Builds a Streamlit and FastAPI RAG application that lets users upload documents and query them with natural language through LM Studio.

Read, write, and manipulate genomic datasets including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using a Pythonic interface to htslib.

Enforces production-grade Python and AI engineering standards for FastAPI, LangChain/LangGraph, RAG pipelines, and LLM integrations, covering type safety, error handling, testing, and security.

Generate AI-powered podcast-style audio narratives from text using Azure OpenAI's GPT Realtime Mini model via WebSocket, with full-stack implementation from React frontend to Python FastAPI backend.

Build production-grade Azure Cosmos DB NoSQL services with Python/FastAPI, including client setup with dual authentication, service layer CRUD operations, partition key strategies, parameterized queries, and TDD patterns.

Scans API route definitions across frameworks (Next.js, Express, FastAPI, Django REST) and auto-generates comprehensive test suites covering auth, input validation, error codes, pagination, file uploads, and rate limiting.

Use when converting FASTA sequence records into XML for downstream EDirect or XML-based sequence processing.

Use when performing multiple sequence alignment of FASTA inputs, generating alignment ensembles, or calculating alignment confidence metrics.

Use when converting GenBank format (.gbf) files to FASTA format (.fsa) as part of sequence data preprocessing

Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns

Use when converting RNA connectivity-table (`.ct`) files into extended FASTA with dot-bracket structures, optionally removing pseudoknots or modified bases.

Use when converting NCBI XML sequence records to FASTA format, typically after fetching data with efetch from the Entrez Direct toolkit.

Use when working with FASTA or FASTQ files for statistics, filtering, transformation, format conversion, searching, or set operations.

Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

Use when profiling nucleotide content (AT/GC percentages, base counts) of genomic intervals against a FASTA reference.

Guides development of Fastify Node.js backend servers and REST APIs using TypeScript or JavaScript, covering routes, plugins, validation, error handling, authentication, testing, performance, logging, deployment, and more.

Dynamic instrumentation via Frida - attach to or spawn a process, load a JS hook script, capture send() events into a lifecycle-managed run directory. Supports local, USB-attached, and remote frida-server targets.

Use when hashing FASTA records and comparing ordered versus order-insensitive sequence digests instead of taking a single whole-file MD5.

Vitest - Modern TypeScript testing framework with Vite-native performance, ESM support, and TypeScript-first design

Use when doing lightweight FASTA/FASTQ transformations such as conversion, subsampling, subsequence extraction, trimming, or quick QC with seqtk.

将实证研究设计转成 Stata 执行计划或 do 文件骨架，包含数据合并、变量构造、描述统计、回归和稳健性

Rust specialist with expertise in async programming, ownership patterns, FFI, and WebAssembly development

Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.