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• MiRNA_TrainTest

  Rounded Log2 CPM well-expressed miRNA levels in plasma; determined using the HTG EdgeSeq miRNA Whole Transcriptome Assay

  Dataset EGAD00010002754

• Baka_saliva_450K

  Epigenome of 36 rainforest hunther-gathering Baka of Cameroon by Illumina HumanMethylation450 array, used in the EGAS00001002226 study

  Dataset EGAD00010001251

• Transcriptional regulatory networks of tumor-associated macrophages that drive malignancy in mesenchymal glioblastoma

  Dataset EGAD00001003324

• Genome_Data_Agotes

  Genome-wide genotype data of 125 Agotes individuals presented in Portela-Estévez et al. 2026

  Dataset EGAD00010002839

• Exome sequencing Parkinson's disease patients

  In this project we will sequence the exomes of 250 patients with Parkinson's disease

  Dataset EGAD00001000405

• MDS Sequential Treatment Validation

  Validations of variants identified by exome sequencing in sequential samples derived after treatment cycle with AZA.

  Dataset EGAD00001000949

• Tracing the origins of relapse in AML to stem cells

  Aligned whole genome sequence from AML relapse project

  Dataset EGAD00001003234

• Landscape of AL mutations

  Exome Sequencing to Define the Landscape of Plasma Cells in Systemic Light chain Amyloidosis

  Dataset EGAD00001001861

• Baylor Hopkins Center for Mendelian Genomics (BH CMG)

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs000711

• Broad Institute Center for Mendelian Genomics

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs001272