Busabase
Busabase는 AI 에이전트를 위한 오픈소스(MIT) 데이터베이스 및 작업 공간입니다
데이터 분야에서 지금 뜨는
최근 완료된 8시간 회차 사이 GitHub 스타 증가량 순
최근 완료된 8시간 회차 사이 GitHub 스타 증가량 순
Busabase는 AI 에이전트를 위한 오픈소스(MIT) 데이터베이스 및 작업 공간입니다
Datus는 데이터 엔지니어링 에이전트로, SQL 작성·파이프라인 배포·웨어하우스·카탈로그·BI 모니터링을 자동화
AVA는 편리한 시각 분석을 위한 프레임워크로, 자연어 질의·LLM 기반 분석·자동화·스마트 데이터 처리를 제공합니다
오픈소스 분석 에이전트 nao, nao‑core CLI로 컨텍스트 생성하고 모든 사용자를 위한 채팅 인터페이스 배포
S3와 PostgreSQL과 SQLite, Iceberg, Delta Lake를 지원하는 Apache Kafka 호환 브로커입니다
Novelty-inclusive microbial (and now dsDNA phage) community profiling of shotgun metagenomes
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Welcome.
At heart, SingleM is a tool for profiling shotgun (both short and long-read) metagenomes. It shows good accuracy in estimating the relative abundances of community members, and has a particular strength in dealing with novel lineages.
It was originally designed to determine the relative abundance of bacterial and archaeal taxa in a sample. Microbial SingleM has been applied to ~700,000 public metagenomes. The resulting data are available at the Sandpiper companion website.README 전문 보기 ↗Welcome.
At heart, SingleM is a tool for profiling shotgun (both short and long-read) metagenomes. It shows good accuracy in estimating the relative abundances of community members, and has a particular strength in dealing with novel lineages.
It was originally designed to determine the relative abundance of bacterial and archaeal taxa in a sample. Microbial SingleM has been applied to ~700,000 public metagenomes. The resulting data are available at the Sandpiper companion website.
Recent versions have added features:
The method it uses also it suitable for some related tasks, such as assessing eukaryotic contamination, finding bias in genome recovery, and lineage-targeted MAG recovery. It can also be used as the basis for choosing metagenomes which, when coassembled, maximise the recovery of novel MAGs (see Bin Chicken).
Documentation can be found at https://wwood.github.io/singlem/.
Ben J. Woodcroft, Samuel T. N. Aroney, Rossen Zhao, Mitchell Cunningham, Joshua A. M. Mitchell, Rizky Nurdiansyah, Linda Blackall & Gene W. Tyson. Comprehensive taxonomic identification of microbial species in metagenomic data using SingleM and Sandpiper. Nat Biotechnol (2025). https://doi.org/10.1038/s41587-025-02738-1.
Raphael Eisenhofer, Antton Alberdi, Ben J. Woodcroft. Large-scale estimation of bacterial and archaeal DNA prevalence in metagenomes reveals biome-specific patterns. mSystems 0:e01062-25 (2026). https://doi.org/10.1128/msystems.01062-25.
Samuel T. N. Aroney, Rhys J. Newell, Gene W. Tyson and Ben J. Woodcroft, 2024. Bin Chicken: targeted metagenomic coassembly for the efficient recovery of novel genomes. Nat Methods 22, 2516–2524 (2025). https://doi.org/10.1038/s41592-025-02901-1
Rossen Zhao, Gene W. Tyson, Ben J. Woodcroft. Lyrebird: a tool for profiling dsDNA phage communities in metagenomic data. (in preparation).