Project IDOEP005441
Project NameToward best practices for detecting germline small variants: a large-scale real-world WES benchmarking study using the Quartet DNA reference materials
Experiment TypeGenomic
OEX028483
Project IDOEP005441
Project NameToward best practices for detecting germline small variants: a large-scale real-world WES benchmarking study using the Quartet DNA reference materials
Experiment TypeGenomic
OEX028484
Project IDOEP005441
Project NameToward best practices for detecting germline small variants: a large-scale real-world WES benchmarking study using the Quartet DNA reference materials
Experiment TypeGenomic
OEX028485
Project IDOEP005441
Project NameToward best practices for detecting germline small variants: a large-scale real-world WES benchmarking study using the Quartet DNA reference materials
Experiment TypeGenomic
OEX028486
Project IDOEP005441
Project NameToward best practices for detecting germline small variants: a large-scale real-world WES benchmarking study using the Quartet DNA reference materials
Experiment TypeGenomic
OEX028520
Project IDOEP005441
Project NameToward best practices for detecting germline small variants: a large-scale real-world WES benchmarking study using the Quartet DNA reference materials
Experiment TypeGenomic
OEX028487
Project IDOEP005442
Project NameCircRREB1 concatenates metabolic reprogramming and stemness maintenance to facilitate pancreatic ductal adenocarcinoma progression
Experiment TypeTranscriptomic
OEX028559
Project IDOEP005440
Project NameProteomics and metabolomics data of NSPT cohort
Experiment TypeProteomic
ProtocolAll data were processed using Firmiana, a one-stop proteomic cloud platform (https://phenomics.fudan.edu.cn/fifirmiana/). The data were searched against the UniProt human protein database (updated on 2019.12.17, 20,406 entries) using FragPipe (v12.1) with MSFragger (2.2) for DIA data and the Mascot search engine for DDA data. The mass tolerances were set at 20 ppm for precursors and 50 mmu for product ions, allowing up to two missed cleavages. Cysteine carbamido methylation was set as a fixed modification, while N-acetylation and oxidation of methionine were variable modifications. Precursor ion charge states were limited to +2, +3, and +4. Data were also searched against a decoy database to ensure protein identifications were accepted at a false discovery rate (FDR) of 1%. The results from DDA data were combined into spectra libraries using SpectraST software, creating a total of 327 reference spectra libraries.
OEX028469
Project IDOEP004265
Project NameReactive iron as an important reservoir of marine organic carbon over geological timescales
Experiment TypeGenomic
OEX024472
Project IDOEP005436
Project NameFITC-ID
Experiment TypeTranscriptomic
OEX028465