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Quick start guide
1.
fibertools
❱
1.1.
Creating a Fiber-seq BAM
❱
1.1.1.
ft predict
1.1.2.
ft add-nucleosomes
1.1.3.
ft fire
1.2.
Extracting from a Fiber-seq BAM
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1.2.1.
ft extract
1.2.2.
ft center
1.2.3.
ft footprint
1.3.
Help pages for ft subcommands
1.4.
pyft: Python bindings
1.5.
Installation
2.
FIRE
❱
2.1.
Training
2.2.
Aggregation and peak calling
2.3.
Identifying haplotype-selective peaks
3.
Glossary
4.
Fiber-seq BAM format
5.
Cite
6.
Analyses
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6.1.
ONT Fiber-seq Analysis
Light
Rust
Coal
Navy
Ayu
The computational guide to Fiber-seq
ONT Fiber-seq Analysis
Matched ONT and PacBio preparations
Read lengths unchanged by Fiber-seq
Impact of Fiber-seq on ONT read quality
A comparison of ONT and PacBio Fiber-seq
Genome-wide comparison of ONT and PacBio Fiber-seq
Transcription factor foot printing has reduced resolution with ONT
Stand does not significantly impact ONT Fiber-seq FIRE results
ONT FIREs have ~half as many m6A sites as PacBio (as expected)
Auto-correlation of m6A sites in ONT nearly matches a single strand of PacBio
Overall conclusions