<--- Back to Details
First PageDocument Content
Protein methods / RNA / Bioinformatics / Gene expression / Genomics / Genome browser / Chip-sequencing / UCSC Genome Browser / RNA-Seq / Biology / Science / Biochemistry
Protein methods
RNA
Bioinformatics
Gene expression
Genomics
Genome browser
Chip-sequencing
UCSC Genome Browser
RNA-Seq
Biology
Science
Biochemistry

Cell regeneration- bridging discoveries in applied and basic research

Add to Reading List

Source URL: www.cellregenerationjournal.com

Download Document from Source Website

File Size: 1,09 MB

Share Document on Facebook

Similar Documents

Technical Note: illumina® sequencing ChIP-Seq Data Analysis ChIP-Seq is a powerful method to identify genome-wide DNA binding sites for a protein of interest. This technical note describes a simple approach to building

DocID: 1u3Ve - View Document

Biology / Gene expression / Biochemistry / Transcription factors / DNA / Signal transduction / Systems biology / Gene regulatory network / Protein kinase / TRANSFAC / ChIP-sequencing / ENCODE

Published online 5 AprilNucleic Acids Research, 2011, Vol. 39, No. 12 e78 doi:nar/gkr172 Transcriptional regulation via TF-modifying

DocID: 1rq5w - View Document

Biology / Transcription factors / Gene expression / Developmental biology / Genetics / DNA / Homeobox / Hox gene / HOXA2 / MEIS1 / Homeosis / ChIP-sequencing

IFOM: A YEAR IN REVIEWTALE homeodomain transcription factors: super-regulators of the genome

DocID: 1rlH3 - View Document

Biology / Chemistry / Biochemistry / Molecular biology / Fellows of the American Association for the Advancement of Science / Pierre Baldi / Computational chemistry / DNA / Bioinformatics / ChIP-sequencing / Baldi / Epigenetics

Microsoft Word - 9th BIT Syposium ScheduleF.docx

DocID: 1reS4 - View Document

Biology / Genetics / Biochemistry / Molecular biology / Gene expression / RNA / Microarrays / Biotechnology / RNA-Seq / ChIP-sequencing / CRISPR / Cas9

edgeR: differential expression analysis of digital gene expression data User’s Guide Yunshun Chen, Davis McCarthy, Matthew Ritchie, Mark Robinson, Gordon K. Smyth First edition 17 September 2008

DocID: 1rcAG - View Document