Commit 017bb3d2 authored by HYsxe's avatar HYsxe
Browse files

Merge branch 'main' of https://github.com/HYsxe/PRINT into main

parents 9387aca3 4e90170f
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@@ -32,6 +32,8 @@ Tutorials for running multi-scale footprinting on example data can be found [her

[tutorial]:https://github.com/HYsxe/PRINT/blob/main/analyses/BMMCTutorial/BMMCVignette.pdf

Before running the tutorial, please download the pre-computed bias files from https://zenodo.org/record/7121027#.ZCbw4uzMI8N and put it in the data/shared/precomputedTn5Bias folder.

### 4. References

Hu et al., Multi-scale chromatin footprinting reveals wide-spread encoding of CRE substructures
@@ -44,3 +46,8 @@ Currently the framework can be installed by cloning the github repo.

If you have any questions, please feel free to open an issue. You are also welcome to email me at yanhu@g.harvard.edu. We appreciate everyone's contribution!


### 7. Comming soon:

Currently the tool is implemented in R, which doesn't handle certein computation in the most efficient way. We are working on a ultra-fast python package which will be released soon. Stay tuned!

code/requirements.txt

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Softwares:

samtools==1.10
bedtools==2.26.0
macs2==2.1.1.20160309
TOBIAS==0.13.2
Bowtie2==2.3.4.1
HINT==0.13.2
R==4.1.0
Python==3.8.16

Python packages:

tensorflow==2.6.2
Bio==1.5.5
h5py==2.10.0
keras==2.11.0
keras_nightly==2.5.0.dev2021032900
matplotlib==3.5.1
numpy==1.19.5
palantir==1.0.0
pandas==1.5.3
pybedtools==0.8.1
pyranges==0.0.120
pysam==0.18.0
scikit_learn==1.2.1
scipy==1.7.3
seaborn==0.11.2
torch==1.13.1
tqdm==4.62.3

R packages:

assertthat==0.2.1
base64enc==0.1-3
Biobase==2.52.0
BiocGenerics==0.38.0
BiocIO==1.2.0
BiocParallel==1.26.2
Biostrings==2.60.2
bit==4.0.4
bit64==4.0.5
bitops==1.0-7
BuenColors==0.5.6
Cairo==1.5-12.2
caTools==1.18.2
circlize==0.4.13
cladoRcpp==0.15.1
cli==3.2.0
clue==0.3-59
cluster==2.1.2
codetools==0.2-18
collapse==1.5.3
colorspace==2.0-3
compiler==4.1.3
ComplexHeatmap==2.8.0
crayon==1.5.0
data.table==1.14.2
DBI==1.1.2
DelayedArray==0.18.0
digest==0.6.29
doParallel==1.0.16
doSNOW==1.0.19
dplyr==1.0.8
ellipsis==0.3.2
evaluate==0.15
fansi==1.0.2
farver==2.1.0
fastmap==1.1.0
foreach==1.5.1
generics==0.1.2
GenomeInfoDb==1.28.4
GenomeInfoDbData==1.2.6
GenomicAlignments==1.28.0
GenomicRanges==1.44.0
GetoptLong==1.0.5
ggplot2==3.3.3
GlobalOptions==0.1.2
glue==1.6.2
gtable==0.3.0
gtools==3.9.2
hdf5r==1.3.3
htmltools==0.5.2
IRanges==2.26.0
iterators==1.0.13
jsonlite==1.8.0
keras==2.4.0
knitr==1.37
labeling==0.4.2
lattice==0.20-45
lifecycle==1.0.1
magick==2.7.2
magrittr==2.0.2
MASS==7.3-55
Matrix==1.4-0
MatrixGenerics==1.4.3
matrixStats==0.61.0
munsell==0.5.0
patchwork==1.1.1
pbapply==1.4-3
pbmcapply==1.5.0
pillar==1.7.0
pkgconfig==2.0.3
png==0.1-7
purrr==0.3.4
R6==2.5.1
RColorBrewer==1.1-3
Rcpp==1.0.7
RcppArmadillo==0.11.0.0.0
RcppEigen==0.3.3.9.1
RCurl==1.98-1.3
restfulr==0.0.13
reticulate==1.20
rjson==0.2.21
rlang==1.0.2
rmarkdown==2.13
Rsamtools==2.8.0
rstudioapi==0.13
rtracklayer==1.52.1
S4Vectors==0.30.2
scales==1.2.0
shape==1.4.6
snow==0.4-3
stringi==1.7.6
stringr==1.4.0
SummarizedExperiment==1.22.0
tensorflow==2.5.0
tfruns==1.5.0
tibble==3.1.6
tidyselect==1.1.2
tools==4.1.3
utf8==1.2.2
vctrs==0.3.8
whisker==0.4
withr==2.5.0
xfun==0.30
XML==3.99-0.9
XVector==0.32.0
yaml==2.3.5
zeallot==0.1.0
zlibbioc==1.38.0