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Titlebook: Metagenomic Data Analysis; Suparna Mitra Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Sc

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31#
發(fā)表于 2025-3-26 23:34:31 | 只看該作者
Krithika Arumugam,Irina Bessarab,Mindia A. S. Haryono,Rohan B. H. Williams
32#
發(fā)表于 2025-3-27 02:17:53 | 只看該作者
33#
發(fā)表于 2025-3-27 07:51:24 | 只看該作者
34#
發(fā)表于 2025-3-27 11:32:27 | 只看該作者
MAIRA: Protein-based Analysis of MinION Reads on a Laptop,ailed analysis is performed by aligning the reads against the proteins of all species in the detected genus. The program presents a detailed analysis of species, antibiotic resistance genes, and virulence factors.
35#
發(fā)表于 2025-3-27 14:20:41 | 只看該作者
36#
發(fā)表于 2025-3-27 20:21:58 | 只看該作者
Book 2023of raw sequence data, metagenomics databases for bacterial annotations such?Greengenes, SILVA, RDP and GTDB, guide to 16S rRNA microbiome analysis and pipelines such as?mothur, DADA2,?QIIME2?, whole genome shotgun metagenomics data analyses pipeline using MEGAN and DIAMOND, web service such as PATRI
37#
發(fā)表于 2025-3-28 00:37:42 | 只看該作者
38#
發(fā)表于 2025-3-28 05:15:43 | 只看該作者
Recovery and Analysis of Long-Read Metagenome-Assembled Genomes,the recovery and characterization of complete genomes from long-read metagenome data and some complementary procedures for comparison of cognate draft genomes and gene quality obtained from short-read sequencing and long-read sequencing.
39#
發(fā)表于 2025-3-28 08:18:08 | 只看該作者
Cloud Computing for Metagenomics: Building a Personalized Computational Platform for Pipeline Analyntu Linux Virtual Machine in the Microsoft Azure cloud, which includes Minconda Python, a Jupyter Lab server, and the QIIME toolkit configured for access through a web browser to facilitate a typical metagenomics analysis pipeline.
40#
發(fā)表于 2025-3-28 13:57:50 | 只看該作者
Metagenomics Data Visualization Using R, that is widely used for data visualization in R. After this general introduction to data visualization tools, the chapter will explore more specific data visualization techniques for metagenomics data and their use cases using these basic packages.
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