chore: readme

README.md

@@ -31,28 +31,28 @@ However, due to size constraints in `bioconda` this version does not support con
 ft --help
 ```
 
-[Help page for fibertools](/docs/help.md)
+[Help page for fibertools](https://fiberseq.github.io/fibertools/help.html#ft)
 
 # Highlighted subcommands for `fibertools-rs`
 
 ### `ft predict-m6a`
 
-Predict m6A positions using HiFi kinetics data and encode the results in the MM and ML bam tags. [Help page for predict-m6a](/docs/help.md#ft-predict-m6a).
+Predict m6A positions using HiFi kinetics data and encode the results in the MM and ML bam tags. [Help page for predict-m6a](https://fiberseq.github.io/fibertools/help.html#ft-predict-m6a).
 
 ### `ft add-nucleosomes`
 
-Add nucleosomes to a bam that file already contains m6a predictions. Note, this process is also run in the background during `predict-m6a`, so it is unnecessary to run independently unless you want to try new parameters for nucleosome calling. [Help page for add-nucleosomes](/docs/help.md#ft-add-nucleosomes).
+Add nucleosomes to a bam that file already contains m6a predictions. Note, this process is also run in the background during `predict-m6a`, so it is unnecessary to run independently unless you want to try new parameters for nucleosome calling. [Help page for add-nucleosomes](https://fiberseq.github.io/fibertools/help.html#ft-add-nucleosomes).
 
 ### `ft extract`
 
-Extracts Fiber-seq data from a bam file into plain text. [Docs for extract](/docs/extract.md).
+Extracts Fiber-seq data from a bam file into plain text. [Docs for extract](https://fiberseq.github.io/fibertools/help.html#ft-extract).
 
 ### `ft center`
 
-Center Fiber-seq reads (bam) around reference position(s). [Docs for center](/docs/center.md).
+Center Fiber-seq reads (bam) around reference position(s). [Docs for center](https://fiberseq.github.io/fibertools/help.html#ft-center).
 
 ### `ft footprint`
-Footprint Fiber-seq reads (bam) around reference motifs(s). [Docs for footprint](/docs/footprint.md).
+Footprint Fiber-seq reads (bam) around reference motifs(s). [Docs for footprint](https://fiberseq.github.io/fibertools/help.html#ft-footprint).
 
 # Python API (`pyft`)