能得到
发表于 2025-3-30 08:40:06
Accurate Ensemble Prediction of Somatic Mutations with SMuRF2,ividual mutation callers using supervised machine learning. SMuRF2 provides an efficient workflow to predict both somatic point mutations (SNVs) and small insertions/deletions (indels) in cancer genomes and exomes. We describe the latest method and provide a detailed tutorial for running SMuRF2.
能够支付
发表于 2025-3-30 16:06:47
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Firefly
发表于 2025-3-30 17:28:58
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公司
发表于 2025-3-31 00:42:20
Data Processing and Germline Variant Calling with the Sentieon Pipeline, data processing (Stephens et al.PLoS Biol 13:e1002195, 2015). The Sentieon. Genomics software enables rapid and accurate analysis of next-generation sequence data. In this work, we present a typical use of the Sentieon Genomics software for germline variant calling. The Sentieon germline variant ca
退出可食用
发表于 2025-3-31 01:05:39
MuSE: A Novel Approach to Mutation Calling with Sample-Specific Error Modeling,ave developed MuSE, . a novel approach for modeling the evolution of the allelic composition of tumor and normal tissue at each reference base. It adopts a sample-specific error model to depict inter-tumor heterogeneity, which greatly improves the overall accuracy. Here, we describe the method and p
BARGE
发表于 2025-3-31 05:25:05
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Feedback
发表于 2025-3-31 12:18:52
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繁殖
发表于 2025-3-31 14:54:54
Detecting Medium and Large Insertions and Deletions with transIndel,due to challenges in distinguishing medium- and large-sized indels from RNA splicing events in RNA-seq data. We introduce transIndel, a splice-aware algorithm that parses the chimeric alignments predicted by a short read aligner and reconstructs the mid-sized insertions and large deletions based on
evince
发表于 2025-3-31 19:04:33
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SEMI
发表于 2025-4-1 00:47:18
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