{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mefit-merging-and-filtering-tool-for-illumina","title":"MeFiT: Merging and Filtering Tool for Illumina Paired-End Reads for 16S rRNA Amplicon Sequencing","arxiv_id":"1512.03342","date":"2015-12-10","proceeding":null,"authors":[],"abstract":"Recent advances in next-generation sequencing have revolutionized genomic\nresearch. 16S rRNA amplicon sequencing using paired-end sequencing on the MiSeq\nplatform from Illumina, Inc., is being used to characterize the composition and\ndynamics of extremely complex/diverse microbial communities. For this analysis\non the Illumina platform, merging and quality filtering of paired-end reads are\nessential first steps in data analysis to ensure the accuracy and reliability\nof downstream analysis. We have developed the Merging and Filtering Tool\n(MeFiT) to combine these pre-processing steps into one simple, intuitive\npipeline. MeFiT provides an open-source solution that permits users to merge\nand filter paired end illumina reads based on user-selected quality parameters.\nThe tool has been implemented in python and the source-code is freely available\nat https://github.com/nisheth/MeFiT.","url_abs":"http://arxiv.org/abs/1512.03342v1","url_pdf":"http://arxiv.org/pdf/1512.03342v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mefit-merging-and-filtering-tool-for-illumina","repo_url":"https://github.com/nisheth/MeFiT","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}