sORFs.org: repository of small ORFs identified by ribosome profiling

sORFs.org datasets. This section provides detailed information about the datasets used. For more information about the dataset processing please consult the INFO page. navigate through the datasets on the left to acquire more information about the corresponding dataset.

fields_2015      

Mouse dendritic cells Bone marrow-derived dendritic cells, strain C57BL/6J, age 6-8 weeks
References A Regression-Based Analysis of Ribosome-Profiling Data Reveals a Conserved Complexity to Mammalian Translation.
Authors Fields AP, Rodriguez EH, Jovanovic M, Stern-Ginossar N, Haas BJ, Mertins P, Raychowdhury R, Hacohen N, Carr SA, Ingolia NT, Regev A, Weissman JS.
GEO accession GSE74139
treatment type pre-lysis snap-freeze nuclease used: RNase I
total number of reads (CHX/EM sample) reads mapped to rRNA (CHX/EM sample) reads mapped to tRNA (CHX/EM sample) reads mapped to snRNA/snoRNA (CHX/EM sample) reads mapped to genomix(% total number of reads)
522541603 167906098 4045384 25562479 299417788 (57.30%)
Total number of reads (HARR/LTM sample) reads mapped to rRNA (HARR/LTM sample) reads mapped to tRNA (HARR/LTM sample) reads mapped to snRNA/snoRNA (HARR/LTM sample) reads mapped to genomix(% total number of reads)
997801214 737970323 7672732 18579783 175624224 (17.60%)
FastQC quality control CHX/EM data (no rRNA/tRNA/snRNA/snoRNA) FastQC provides quality control checks on raw sequence data coming from high throughput sequencing pipelines. FastQC provides a modular set of analyses which can be used to give a quick impression on the quality and potential problems of the data. Prior to the FastQC analysis, rRNA, tRNA, snRNA & snoRNA were removed from the data.

source: http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
FastQC quality control CHX/EM
FastQC quality control HARR/LTM data (no rRNA/tRNA/snRNA/snoRNA) FastQC provides quality control checks on raw sequence data coming from high throughput sequencing pipelines. FastQC provides a modular set of analyses which can be used to give a quick impression on the quality and potential problems of the data. Prior to the FastQC analysis, rRNA, tRNA, snRNA & snoRNA were removed from the data.

source: http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
FastQC quality control CHX/EM