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This pipeline aims to provide unsupervised data analysis from Singlecell RNAseq data. The alignment is done with Tophat2 followed by htseqcount. After filtering, DeSeq2 and Vst are applied. Finally, the unsupervised analysis is done with WGCNA.
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From fastq to Allelic expression with GATK
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Archive repository of MEDUSA code (see https://hal.archives-ouvertes.fr/hal-00839321) for details
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RNAseq pipeline for gene expression quantification.
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M2 Degre project have to aim to isolate CNV share by patient from family with possibility to filter CNV on lenght, frequency from GnomAD v2.1.1 and interest genome region. Develop by Romain LAUNAY and Pierre OLCHESQUI with participation of Xavier L G
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