• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

simpleaf:一个使用 alevin-fry 进行单细胞数据处理的简单、灵活和可扩展的框架。

simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry.

机构信息

Department of Cell Biology and Molecular Genetics and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, United States.

Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, United States.

出版信息

Bioinformatics. 2023 Oct 3;39(10). doi: 10.1093/bioinformatics/btad614.

DOI:10.1093/bioinformatics/btad614
PMID:37802884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10580267/
Abstract

SUMMARY

The alevin-fry ecosystem provides a robust and growing suite of programs for single-cell data processing. However, as new single-cell technologies are introduced, as the community continues to adjust best practices for data processing, and as the alevin-fry ecosystem itself expands and grows, it is becoming increasingly important to manage the complexity of alevin-fry's single-cell preprocessing workflows while retaining the performance and flexibility that make these tools enticing. We introduce simpleaf, a program that simplifies the processing of single-cell data using tools from the alevin-fry ecosystem, and adds new functionality and capabilities, while retaining the flexibility and performance of the underlying tools.

AVAILABILITY AND IMPLEMENTATION

Simpleaf is written in Rust and released under a BSD 3-Clause license. It is freely available from its GitHub repository https://github.com/COMBINE-lab/simpleaf, and via bioconda. Documentation for simpleaf is available at https://simpleaf.readthedocs.io/en/latest/ and tutorials for simpleaf that have been developed can be accessed at https://combine-lab.github.io/alevin-fry-tutorials.

摘要

摘要

幼鱼 - 鱼苗生态系统为单细胞数据处理提供了一套强大且不断发展的程序。然而,随着新的单细胞技术的引入,随着社区继续调整数据处理的最佳实践,以及幼鱼 - 鱼苗生态系统自身的扩展和增长,管理幼鱼 - 鱼苗单细胞预处理工作流程的复杂性变得越来越重要,同时保持这些工具的吸引力的性能和灵活性。我们引入了 simpleaf,这是一个使用幼鱼 - 鱼苗生态系统中的工具简化单细胞数据处理的程序,并增加了新的功能和功能,同时保留了底层工具的灵活性和性能。

可用性和实现

simpleaf 是用 Rust 编写的,并根据 BSD 3-Clause 许可证发布。它可以从其 GitHub 存储库 https://github.com/COMBINE-lab/simpleaf 以及 bioconda 免费获得。simpleaf 的文档可在 https://simpleaf.readthedocs.io/en/latest/ 获得,并且可以访问在 https://combine-lab.github.io/alevin-fry-tutorials 开发的 simpleaf 教程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f81/10580267/5e91e532b1a8/btad614f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f81/10580267/5e91e532b1a8/btad614f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f81/10580267/5e91e532b1a8/btad614f1.jpg

相似文献

1
simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry.simpleaf:一个使用 alevin-fry 进行单细胞数据处理的简单、灵活和可扩展的框架。
Bioinformatics. 2023 Oct 3;39(10). doi: 10.1093/bioinformatics/btad614.
2
simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry.simpleaf:一个使用alevin-fry进行单细胞转录组学数据处理的简单、灵活且可扩展的框架。
bioRxiv. 2023 Mar 29:2023.03.28.534653. doi: 10.1101/2023.03.28.534653.
3
snakePipes: facilitating flexible, scalable and integrative epigenomic analysis.snakePipes:实现灵活、可扩展和集成的表观基因组分析。
Bioinformatics. 2019 Nov 1;35(22):4757-4759. doi: 10.1093/bioinformatics/btz436.
4
scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data.scFates:一个用于从单细胞数据中进行高级拟时和分支分析的可扩展 Python 包。
Bioinformatics. 2023 Jan 1;39(1). doi: 10.1093/bioinformatics/btac746.
5
CONSTAX2: improved taxonomic classification of environmental DNA markers.CONSTAX2:改进环境 DNA 标记物的分类学分类。
Bioinformatics. 2021 Nov 5;37(21):3941-3943. doi: 10.1093/bioinformatics/btab347.
6
ipyrad: Interactive assembly and analysis of RADseq datasets.ipyrad:RADseq 数据集的交互式组装和分析。
Bioinformatics. 2020 Apr 15;36(8):2592-2594. doi: 10.1093/bioinformatics/btz966.
7
HOMELETTE: a unified interface to homology modelling software.HOMELETTE:同源建模软件的统一接口。
Bioinformatics. 2022 Mar 4;38(6):1749-1751. doi: 10.1093/bioinformatics/btab866.
8
Alevin-fry unlocks rapid, accurate and memory-frugal quantification of single-cell RNA-seq data.Alevin-fry实现了对单细胞RNA测序数据的快速、准确且节省内存的定量分析。
Nat Methods. 2022 Mar;19(3):316-322. doi: 10.1038/s41592-022-01408-3. Epub 2022 Mar 11.
9
NFTest: automated testing of Nextflow pipelines.NFTest:用于 Nextflow 管道的自动化测试。
Bioinformatics. 2024 Feb 1;40(2). doi: 10.1093/bioinformatics/btae081.
10
Bigtools: a high-performance BigWig and BigBed library in Rust.Bigtools:一个用 Rust 编写的高性能 BigWig 和 BigBed 库。
Bioinformatics. 2024 Jun 3;40(6). doi: 10.1093/bioinformatics/btae350.

引用本文的文献

1
Metastatic small cell lung cancer arises from TP53/RB1-deficient and MYC overproduction hESC-derived PNECs.转移性小细胞肺癌起源于TP53/RB1缺陷且MYC过度表达的人胚胎干细胞来源的肺神经内分泌细胞。
Elife. 2025 Jul 22;13:RP93170. doi: 10.7554/eLife.93170.
2
QCatch: A framework for quality control assessment and analysis of single-cell sequencing data.QCatch:用于单细胞测序数据质量控制评估与分析的框架。
bioRxiv. 2025 Jun 22:2025.06.15.659779. doi: 10.1101/2025.06.15.659779.
3
Alevin-fry-atac enables rapid and memory frugal mapping of single-cell ATAC-seq data using virtual colors for accurate genomic pseudoalignment.

本文引用的文献

1
Flexible parsing, interpretation, and editing of technical sequences with splitcode.使用 splitcode 灵活解析、解释和编辑技术序列。
Bioinformatics. 2024 Jun 3;40(6). doi: 10.1093/bioinformatics/btae331.
2
A machine-readable specification for genomics assays.基因组学检测的机器可读规范
Bioinformatics. 2024 Mar 29;40(4). doi: 10.1093/bioinformatics/btae168.
3
A flexible cross-platform single-cell data processing pipeline.一个灵活的跨平台单细胞数据处理管道。
Alevin-fry-atac可使用虚拟颜色实现单细胞ATAC-seq数据的快速且节省内存的映射,以进行准确的基因组伪比对。
Bioinformatics. 2025 Jul 1;41(Supplement_1):i237-i245. doi: 10.1093/bioinformatics/btaf234.
4
T-bet+ CXCR3+ B cells drive hyperreactive B-T cell interactions in multiple sclerosis.T-bet+CXCR3+ B细胞在多发性硬化症中驱动高反应性B-T细胞相互作用。
Cell Rep Med. 2025 Mar 18;6(3):102027. doi: 10.1016/j.xcrm.2025.102027.
5
Accurate quantification of nascent and mature RNAs from single-cell and single-nucleus RNA-seq.从单细胞和单核RNA测序中对新生RNA和成熟RNA进行准确定量。
Nucleic Acids Res. 2025 Jan 7;53(1). doi: 10.1093/nar/gkae1137.
6
Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.Forseti:一种用于预测和解释单细胞 RNA-seq 数据剪接状态的机制模型。
Bioinformatics. 2024 Jun 28;40(Suppl 1):i297-i306. doi: 10.1093/bioinformatics/btae207.
7
scCensus: Off-target scRNA-seq reads reveal meaningful biology.单细胞普查:脱靶的单细胞RNA测序读数揭示了有意义的生物学信息。
bioRxiv. 2024 Jan 31:2024.01.29.577807. doi: 10.1101/2024.01.29.577807.
8
kallisto, bustools, and kb-python for quantifying bulk, single-cell, and single-nucleus RNA-seq.用于定量分析批量、单细胞和单细胞核RNA测序的kallisto、bustools和kb-python。
bioRxiv. 2024 Jan 23:2023.11.21.568164. doi: 10.1101/2023.11.21.568164.
9
FORMATION OF MALIGNANT, METASTATIC SMALL CELL LUNG CANCERS THROUGH OVERPRODUCTION OF cMYC PROTEIN IN TP53 AND RB1 DEPLETED PULMONARY NEUROENDOCRINE CELLS DERIVED FROM HUMAN EMBRYONIC STEM CELLS.在源自人类胚胎干细胞的TP53和RB1缺失的肺神经内分泌细胞中,通过cMYC蛋白的过量产生形成恶性转移性小细胞肺癌。
bioRxiv. 2024 Oct 23:2023.10.06.561244. doi: 10.1101/2023.10.06.561244.
Nat Commun. 2022 Nov 11;13(1):6847. doi: 10.1038/s41467-022-34681-z.
4
Alevin-fry unlocks rapid, accurate and memory-frugal quantification of single-cell RNA-seq data.Alevin-fry实现了对单细胞RNA测序数据的快速、准确且节省内存的定量分析。
Nat Methods. 2022 Mar;19(3):316-322. doi: 10.1038/s41592-022-01408-3. Epub 2022 Mar 11.
5
Cuttlefish: fast, parallel and low-memory compaction of de Bruijn graphs from large-scale genome collections.乌贼算法:从大规模基因组集合中快速、并行且低内存消耗的 de Bruijn 图压缩。
Bioinformatics. 2021 Jul 12;37(Suppl_1):i177-i186. doi: 10.1093/bioinformatics/btab309.
6
Sustainable data analysis with Snakemake.使用 Snakemake 进行可持续数据分析。
F1000Res. 2021 Jan 18;10:33. doi: 10.12688/f1000research.29032.2. eCollection 2021.
7
Modular, efficient and constant-memory single-cell RNA-seq preprocessing.模块化、高效且内存恒定的单细胞RNA测序预处理
Nat Biotechnol. 2021 Jul;39(7):813-818. doi: 10.1038/s41587-021-00870-2. Epub 2021 Apr 1.
8
The nf-core framework for community-curated bioinformatics pipelines.用于社区策划生物信息学流程的nf-core框架。
Nat Biotechnol. 2020 Mar;38(3):276-278. doi: 10.1038/s41587-020-0439-x.
9
Fuzzysplit: demultiplexing and trimming sequenced DNA with a declarative language.Fuzzysplit:使用声明性语言对测序DNA进行解复用和修剪
PeerJ. 2019 Jun 19;7:e7170. doi: 10.7717/peerj.7170. eCollection 2019.
10
Alevin efficiently estimates accurate gene abundances from dscRNA-seq data.Alevin 能够有效地从 dscRNA-seq 数据中估计准确的基因丰度。
Genome Biol. 2019 Mar 27;20(1):65. doi: 10.1186/s13059-019-1670-y.