Summary report for "spock.genes.nig.ac.jp" (monthly stats)

Quick navigation: Traffic summary Adwords keywords & texts Organic keywords Competitors

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Description:

Advertising budget: N/A

This site in Alpha Directory: s sp spo

Approximate SE paid and organic traffic

	Traffic	Est. Cost
Organic keywords	2.41	$4.18*
Paid keywords	N/A	N/A

* — "Est. Cost" for organic traffic means amount of money the site owner would pay for such traffic if he bought it in PPC systems.

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Organic keywords

	Keyword	Cost Equiv.	Position		Keyword	Traffic	Position		Keyword	Position
1.	genome protein	$4.16	10	1.	genome protein	2	10	1.	genome protein	10
2.	sequence homology search	$0.01	11	2.	sequence homology search	0	11	2.	sequence homology search	11

Competitors for "spock.genes.nig.ac.jp"

Blast.ncbi.nlm.nih.gov: BLAST: Basic Local Alignment Search Tool

The Basic Local Alignment Search Tool (BLAST) finds regions of local similarity between sequences. The program compares nucleotide or protein sequences to sequence databases and ...

Keywords: blast; ncbi blast; blast ncbi; e value; protein blast;

Paid traffic cost: N/A

Molbiol-tools.ca: ONLINE ANALYSIS TOOLS

Keywords: dna sequence analysis; promoter; pcr primer design; primer design; sequence analysis;

Paid traffic cost: N/A

En.wikipedia.org: Wikipedia, the free encyclopedia

Keywords: facebook; youtube; insurance; you tube; google;

Paid traffic cost: $0.3

Ebi.ac.uk:

Keywords: muscle; ebi; embl; velvet; pisa;

Paid traffic cost: N/A

Bioweb.uwlax.edu: BioWeb Home

Keywords: dna synthesis; replication; saccharomyces cerevisiae; anabaena; aspergillus fumigatus;

Paid traffic cost: N/A

Ftp.research.microsoft.com:

Keywords: enterprise antispam; digital identity management; ecommerce database design; enterprise anti spam; roman model;

Paid traffic cost: N/A

Genomicscience.energy.gov: Genomic Science Program, U.S. Department of Energy

The next step at the Department of Energy to use data and resources from the Human Genome Project to accelerate understanding of dynamic living systems. The scientific plan for GSP merges advanced high throughput technologies with computational biology to generate models of how cells respond to environmental changes. Fundamental processes are being explored on three levels: proteins and protein co

Keywords: characterization of proteins; kbase; gtl; carbon cycling; lbnl;

Paid traffic cost: N/A