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sherry_zhang新蟲 (初入文壇)
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[求助]
Small RNA-seq原始數(shù)據(jù)怎么處理?
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| 我現(xiàn)在有small RNA-Sequencing 的原始數(shù)據(jù),fastq的數(shù)據(jù)格式的,我想得到miRNA 的ID名和表達信息,該怎么做!急求! |
新蟲 (初入文壇)
木蟲 (正式寫手)
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基于小RNA-Seq數(shù)據(jù)的植物miRNA預測工具 miR-PREFeR: an accurate, fast, and easy-to-use plant miRNA prediction tool using small RNA-Seq data. Abstract Summary: Plant microRNA prediction tools that utilize small RNA sequencing data are emerging quickly. These existing tools have at least one of the following problems: 1. high false positive rate; 2. long running time; 3. work only for genomes in their databases; 4. hard to install or use. We develop miR-PREFeR (miRNA PREdiction From small RNA-Seq data), which utilizes expression patterns of miRNA and follows the criteria for plant microRNA annotation to accurately predict plant miRNAs from one or more small RNA-Seq data samples of the same species. We tested miR-PREFeR on several plant species. The results show that miR-PREFeR is sensitive, accurate, fast, and has low memory footprint. Availability: https://github.com/hangelwen/miR-PREFeR http://bioinformatics.oxfordjour ... ics.btu380.abstract |
新蟲 (初入文壇)
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