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Next generation sequencing and bioinformatics analysis of family genetic inheritance
Mendelian and complex genetic trait diseases continue to burden and affect society both
socially and economically. The lack of effective tests has hampered diagnosis thus, the …
socially and economically. The lack of effective tests has hampered diagnosis thus, the …
Identification of de novo germline mutations and causal genes for sporadic diseases using trio‐based whole‐exome/genome sequencing
Whole‐genome or whole‐exome sequencing (WGS/WES) of the affected proband together
with normal parents (trio) is commonly adopted to identify de novo germline mutations …
with normal parents (trio) is commonly adopted to identify de novo germline mutations …
Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks
Accurate identification of genetic variants from family child–mother–father trio sequencing
data is important in genomics. However, state-of-the-art approaches treat variant calling from …
data is important in genomics. However, state-of-the-art approaches treat variant calling from …
Identification of novel genetic variants predisposing to familial oral squamous cell carcinomas
Oral squamous cell carcinoma (OSCC) is a common subtype of head and neck squamous
cell carcinoma (HNSCC), but the pathogenesis underlying familial OSCCs is unknown …
cell carcinoma (HNSCC), but the pathogenesis underlying familial OSCCs is unknown …
DeepTrio: variant calling in families using deep learning
Every human inherits one copy of the genome from their mother and another from their
father. Parental inheritance helps us understand the transmission of traits and genetic …
father. Parental inheritance helps us understand the transmission of traits and genetic …
Dissecting the multifaceted contribution of the mitochondrial genome to autism spectrum disorder
Autism spectrum disorder (ASD) is a clinically heterogeneous class of neurodevelopmental
conditions with a strong, albeit complex, genetic basis. The genetic architecture of ASD …
conditions with a strong, albeit complex, genetic basis. The genetic architecture of ASD …
Parallel computing for genome sequence processing
The rapid increase of genome data brought by gene sequencing technologies poses a
massive challenge to data processing. To solve the problems caused by enormous data and …
massive challenge to data processing. To solve the problems caused by enormous data and …
Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
Accurate single cell mutational profiles can reveal genomic cell-to-cell heterogeneity.
However, sequencing libraries suitable for genoty** require whole genome amplification …
However, sequencing libraries suitable for genoty** require whole genome amplification …
dv-trio: a family-based variant calling pipeline using DeepVariant
EKK Ip, C Hadinata, JWK Ho, E Giannoulatou - Bioinformatics, 2020 - academic.oup.com
Abstract Motivation In 2018, Google published an innovative variant caller, DeepVariant,
which converts pileups of sequence reads into images and uses a deep neural network to …
which converts pileups of sequence reads into images and uses a deep neural network to …
[CARTE][B] Computational immunology: applications
S Ghosh - 2020 - taylorfrancis.com
Computational Immunology: Applications focuses on different mathematical models,
statistical tools, techniques, and computational modelling that helps in understanding …
statistical tools, techniques, and computational modelling that helps in understanding …