Package: macs (3.0.2-1 and others)

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Model-based Analysis of ChIP-Seq on short reads sequencers

MACS empirically models the length of the sequenced ChIP fragments, which tends to be shorter than sonication or library construction size estimates, and uses it to improve the spatial resolution of predicted binding sites. MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome sequence, allowing for more sensitive and robust prediction. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, is publicly available open source, and can be used for ChIP-Seq with or without control samples.

Other Packages Related to macs

depends

recommends

suggests

enhances

dep: cython3 [x32]

C-Extensions for Python 3
dep: cython3-legacy [sparc64]

C-Extensions for Python 3 (legacy version 0.29)
dep: libc6 (>= 2.29) [sparc64, x32]

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb

dep: libc6 (>= 2.37) [sh4]

dep: libc6 (>= 2.38) [not alpha, ia64, sh4, sparc64, x32]
dep: libc6.1 (>= 2.30) [ia64]

GNU C Library: Shared libraries
also a virtual package provided by libc6.1-udeb

dep: libc6.1 (>= 2.38) [alpha]
dep: python3

interactive high-level object-oriented language (default python3 version)

dep: python3 (<< 3.12) [x32]

dep: python3 (<< 3.13) [not ia64, x32]

dep: python3 (<< 3.9) [ia64]

dep: python3 (>= 3.11~) [sparc64, x32]

dep: python3 (>= 3.12~) [not ia64, sparc64, x32]

dep: python3 (>= 3.8~) [ia64]
dep: python3-cykhash [not ia64, sparc64, x32]

cython wrapper for khash-sets/maps, efficient implementation of isin and unique
dep: python3-hmmlearn [not ia64, sparc64, x32]

unsupervised learning and inference of Hidden Markov Models
dep: python3-numpy [ia64, sparc64, x32]

Fast array facility to the Python language (Python 3)

dep: python3-numpy (>= 1:1.25.0) [not ia64, sparc64, x32]
dep: python3-numpy-abi9 [not ia64, sparc64, x32]

virtual package provided by python3-numpy
dep: python3-scipy [not ia64, sparc64, x32]

scientific tools for Python 3
dep: python3-sklearn [not ia64, sparc64, x32]

Python modules for machine learning and data mining - Python 3
dep: zlib1g (>= 1:1.1.4) [alpha, amd64, arm64, i386, ppc64, ppc64el, riscv64, s390x]

compression library - runtime

dep: zlib1g (>= 1:1.2.3.3) [armel, armhf, hppa, m68k, sh4]

Download macs

Download for all available architectures
Architecture	Version	Package Size	Installed Size	Files
alpha (unofficial port)	3.0.2-1	2,843.0 kB	9,312.0 kB	[list of files]
amd64	3.0.2-1	3,030.8 kB	8,209.0 kB	[list of files]
arm64	3.0.2-1	2,776.8 kB	8,056.0 kB	[list of files]
armel	3.0.2-1	2,773.1 kB	7,528.0 kB	[list of files]
armhf	3.0.2-1	2,831.6 kB	5,936.0 kB	[list of files]
hppa (unofficial port)	3.0.2-1	2,864.3 kB	8,860.0 kB	[list of files]
i386	3.0.2-1	3,013.4 kB	8,748.0 kB	[list of files]
ia64 (unofficial port)	2.2.6-3+b1	2,653.4 kB	11,172.0 kB	[list of files]
m68k (unofficial port)	3.0.1-2+b1	2,669.7 kB	7,179.0 kB	[list of files]
ppc64 (unofficial port)	3.0.2-1	2,879.4 kB	10,168.0 kB	[list of files]
ppc64el	3.0.2-1	2,918.0 kB	9,848.0 kB	[list of files]
riscv64	3.0.2-1	3,044.2 kB	6,544.0 kB	[list of files]
s390x	3.0.2-1	2,890.0 kB	8,266.0 kB	[list of files]
sh4 (unofficial port)	3.0.1-2+b1	3,254.1 kB	7,384.0 kB	[list of files]
sparc64 (unofficial port)	2.2.9.1-1+b1	2,977.6 kB	28,654.0 kB	[list of files]
x32 (unofficial port)	2.2.9.1-1	2,527.6 kB	5,365.0 kB	[list of files]