-
Notifications
You must be signed in to change notification settings - Fork 14
ROP output details (IgBLAST )
Note: This is relevant to versions of ROP using IgBLAST (versions <1.0.6). Starting with ROP v1.0.6, we we have switched from IgBLAST to ImReP to profile B and T cell receptor repertoires. ImReP shows superior accuracy compared to existing tools (see our manuscript “Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing” available at bioRxiv).
This directory contains the output of Step 5. B and T lymphocytes profiling.
Starting from release ROP v1.0.6 we are using accurate in-house tool to detect reads spanning V(D)J recombination to quanity individual immune response.
It contains a separate directory for B cell receptors (BCR) : BCR
directory and a separate directory for T cell receptor (TCR) : TCR
directory.
BCR directory contains:
- IGH a directory for immunoglobulin heavy locus profile
- IGK a directory for immunoglobulin kappa locus
- IGL a directory for immunoglobulin lambda locus profile
TCR directory contains:
- TCRA a directory for T cell receptor alpha locus
- TCRB a directory for T cell receptor beta locus
- TCRG a directory for T cell receptor gamma locus
- TCRD a directory for T cell receptor delta locus
Reads spanning antigen receptor gene rearrangement in the variable domain are identified using IgBLAST. IgBLAST reports
alignment of the reads to the variable (V) gene, the diversity (D) gene and the joining (J) gene, or the recombination of those. Reads alignment is saved into the _igblast.csv
(modified tabular output format 6).
n | id | What does it mean? |
---|---|---|
0 | VDJ | gene segment |
1 | qseqid | read name |
2 | sseqid | reference genome |
3 | pident | percentage of identical matches |
4 | length | alignment length |
5 | mismatch | number of mismatches |
6 | gapopen | number of gap openings |
7 | qstart | start of alignment in query |
8 | qend | end of alignment in query |
9 | sstart | start of alignment in subject |
10 | send | end of alignment in subject |
11 | evalue | expect value |
12 | bitscore | bit score |
An example of the unmapped read aligned to the immunoglobulin heavy variable 1-46 gene (IGHV1-46)
V SRR1146076.56325 IGHV1-46*01 93.67 79 5 0 0 1 79 203 281 7e-27 109
Don’t let your unmapped reads go to waste
- Main
- About ROP Tutorial
- What is ROP?
- How ROP works?
- How to prepare unmapped reads
- How to customize tools used by ROP
- Unix Tutorial
- Get started
- Targeted analysis
- ROP analysis: one RNA-Seq sample
- How to run ROP for mouse
- ROP analysis via qsub
- ROP analysis of multiple samples via qsub array
- Immune profiling by ROP (ImReP)
- ImRep across multiple samples
- ROP input details
- ROP output details
- Source of every last read
- Additional options
- How to calculate immune diversity?
- How to run hyper editing pipeline?