ENTER your Analysis (title) : https		VIEW an Analysis
Condition A	Condition B	Cookies are mandatory to recover Your Data
A1 :	B1 :	-------------------- YOUR Analysis ------------------
A2 :	B2 :	---------------- PUBLISHED Analysis (8) ---------------- 2017 - C. difficile R20291: effect of tcdR mutation on sporulation 2017 - P. aeruginosa P4 Infection (Phage & Host) 2016 - C. difficile 630 SNP Influence (CD630 & 630Derm & 630E) 2016 - P. aeruginosa P3 Infection (Phage & Host) 2015 - C. difficile CRISPR system (CD630 & R20291) 2014 - S. typhimurium Expanding the RpoS/sigS-Network 2013 - C. difficile Genome-wide Identification of sRNA 2013 - C. difficile Genome-wide Identification of Sigma Factor
A3 :	B3 :	--------------------- TUTORIAL Data -------------------- Campylobacter jejuni rpoN/WT (RNA) Sulfolobus solfataricus TSS+ (TSS) Mixed Sulfolobus solfataricus (MIX) Unpublished Data A / Ref (DNA) WorkShop RpoS / WT (RNA)
A4 :	B4 :	Users : 14 / Analysis : 89 (details)
NORM Factors :	STATISTICS :	-------------------- REMOVE Analysis -------------------

MAP2COV Converter		Graphic Support
Convert mapping data to COV2HTML analysis file		MAP2COV, DNA-, RNA-, ChIP-seq, NORM Factors and Statistics
WINDOWS* (XP, Vista, 7+)	MAP2COV_WIN.zip	MAP2COV	DNA-seq
MAC OS (10.6+)	MAP2COV_MAC.zip	RNA-seq	ChIP-seq
SOURCE Code Files	MAP2COV_SRC.zip	NORM Factors	STATISTICS
*Windows pre-requisite software links: Python 2.7.3

Pathogenesis of Bacterial Anaerobes					Pubmed	Source	Project
M. Monot	M. Orgeur	E. Camiade	C. Brehier	B. Dupuy	Abstract	SourceForge	Institut Pasteur

The COV2HTML software is composed of 2 parts: MAP2COV to convert to as suitable format alignment of the deep sequencing reads with the reference sequence and this visualization web interface for the coverage of all Next Generation Sequencing (DNA-seq, RNA-seq, ChIP-seq and Transcription Start Site).