Tag: RPPA

NOTCH1 mutations predict superior outcomes, NSCLC

Introduction Lung cancer remains the leading cause of cancer-related mortality worldwide, and the majority are non-small-cell lung cancer (NSCLC).1,2 Genetic variation is a typical feature of NSCLC that drives cancer initiation and progression.3 Understanding the role of mutated genes in NSCLC is the basis of the development of novel treatment…

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Scientist/Sr. Scientist, Bioinformatics at Frontier Medicines

Frontier Medicines is seeking a highly motivated and experienced Scientist/Sr. Scientist in Bioinformatics or Computational Biology to join an emerging Bioinformatics group embedded in our growing Data Sciences team. The ideal candidate has proven experience in the analysis of high-dimensional omics data derived from multiple platforms (such as RNA-seq, Chip-seq,…

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ncRNA | Free Full-Text | Inverse Impact of Cancer Drugs on Circular and Linear RNAs in Breast Cancer Cell Lines

Received: 19 January 2023 / Revised: 2 May 2023 / Accepted: 16 May 2023 / Published: 19 May 2023 Round 1 Reviewer 1 Report Terrazan and coworkers presented the manuscript entitled “ Inverse impact of cancer drugs on circular and linear RNAs in 2 breast cancer cell lines ”. The…

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Sr./Principal Scientist, Bioinformatics at Frontier Medicines

Frontier Medicines is seeking a highly motivated and experienced Senior/Principal Scientist in Bioinformatics or Computational Biology to join an emerging Bioinformatics group embedded in our growing Data Sciences team. The ideal candidate has proven experience in the analysis of high-dimensional omics data derived from multiple platforms (such as RNA-seq, Chip-seq,…

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Mapping IDs and file names from TCGA datasets

Mapping IDs and file names from TCGA datasets 1 Hello, I want to analyze multiple files from the TCGA-BRCA project downloaded from the GDC portal. However, I have some difficulty using different data from the same samples. For example, a case ID TCGA-E2-A1IU has proteome profiling and DNA methylation data….

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Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer

Cell-type annotation scRNA-seq data were filtered to discard low-quality cells and doublets (Supplementary Fig. 1, Extended Data Fig. 1 and Methods). Supervised clustering (Reference Component Analysis v2 (RCA2)) at low resolution grouped cells into 11 major cell types (Extended Data Fig. 1). To identify epithelial cell subtypes, we initially analyzed…

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