{"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/near-optimal-rna-seq-quantification","title":"Near-optimal RNA-Seq quantification","arxiv_id":"1505.02710","date":"2015-05-15","proceeding":null,"authors":[],"abstract":"We present a novel approach to RNA-Seq quantification that is near optimal in\nspeed and accuracy. Software implementing the approach, called kallisto, can be\nused to analyze 30 million unaligned paired-end RNA-Seq reads in less than 5\nminutes on a standard laptop computer while providing results as accurate as\nthose of the best existing tools. This removes a major computational bottleneck\nin RNA-Seq analysis.","url_abs":"http://arxiv.org/abs/1505.02710v2","url_pdf":"http://arxiv.org/pdf/1505.02710v2.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":"near-optimal-rna-seq-quantification","repo_url":"https://github.com/ENCODE-AWG/encode-202006-jamboree-detrout-rna-sc-pipeline","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}