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Semantic Scholar Open Access 2008 16407 sitasi

Model-based Analysis of ChIP-Seq (MACS)

Yong Zhang Tao Liu Clifford A. Meyer J. Eeckhoute David S. Johnson +6 lainnya
Lihat Sumber DOI

Abstrak

We present Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer. MACS empirically models the shift size of ChIP-Seq tags, 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, allowing for more robust predictions. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, and is freely available.

Topik & Kata Kunci

Biology Medicine

Penulis (11)

Y

Yong Zhang

T

Tao Liu

C

Clifford A. Meyer

J

J. Eeckhoute

D

David S. Johnson

B

B. Bernstein

C

C. Nusbaum

R

R. Myers

M

Myles A. Brown

W

Wei Li

X

X. Liu

Format Sitasi

APA MLA BibTeX
Zhang, Y., Liu, T., Meyer, C.A., Eeckhoute, J., Johnson, D.S., Bernstein, B. et al. (2008). Model-based Analysis of ChIP-Seq (MACS). https://doi.org/10.1186/gb-2008-9-9-r137

Akses Cepat

Lihat di Sumber doi.org/10.1186/gb-2008-9-9-r137
Informasi Jurnal
Tahun Terbit
2008
Bahasa
en
Total Sitasi
16407×
Sumber Database
Semantic Scholar
DOI
10.1186/gb-2008-9-9-r137
Akses
Open Access ✓