Paketti: macs (3.0.2-1)

[ Source: macs  ]

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.

Muut pakettiin macs liittyvät paketit

• dep: libc6 (>= 2.38)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: python3

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

  dep: python3 (<< 3.13)

  dep: python3 (>= 3.12~)

• dep: python3-cykhash

  cython wrapper for khash-sets/maps, efficient implementation of isin and unique

• dep: python3-hmmlearn

  unsupervised learning and inference of Hidden Markov Models

• dep: python3-numpy (>= 1:1.25.0)

  Fast array facility to the Python language (Python 3)

• dep: python3-numpy-abi9

  näennäispaketti, jonka toteuttaa python3-numpy

• dep: python3-scipy

  scientific tools for Python 3

• dep: python3-sklearn

  Python modules for machine learning and data mining - Python 3

• dep: zlib1g (>= 1:1.2.3.3)

  pakkauskirjaston ajonaikaistiedostot

Imuroi macs

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
armel	2,773.1 kt	7,528.0 kt	[tiedostoluettelo]