LRez: C++ API and toolkit for analyzing and managing Linked-Reads data
원문 초록
Linked-Reads technologies, such as 10x Genomics, combine both the high-quality and low cost of short-reads sequencing and a long-range information, through the use of barcodes able to tag reads which originate from a common long DNA fragment. This technology has been employed in a broad range of applications including assembly or phasing of genomes, and structural variant calling. However, to date, no tool or API dedicated to the manipulation of Linked-Reads data exist. We introduce LRez, a C++ API and toolkit which allows easy management of Linked-Reads data. LRez includes various functionalities, for computing number of common barcodes between genomic regions, extracting barcodes from BAM files, as well as indexing and querying both BAM and FASTQ files to quickly fetch reads or alignments sharing one or multiple barcodes. LRez can thus be used in a broad range of applications requiring barcode processing, in order to improve their performances. LRez is implemented in C++, supported on Linux platforms, and available under AGPL-3.0 License at https://github.com/morispi/LRez.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
skfolio: Portfolio Optimization in Python
100-Day Analysis of USD/IDR Exchange Rate Dynamics Around the 2025 U.S. Presidential Inauguration
Automated Risk Management Mechanisms in DeFi Lending Protocols: A Crosschain Comparative Analysis of Aave and Compound
Semantic Scheduling for LLM Inference
SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
From Axioms to Algorithms: Mechanized Proofs of the vNM Utility Theorem
토론
이 논문과 연결된 포럼 글이 아직 없습니다.