반응형
계속 업데이트, 이외 정보 있으시면 댓글이나 이메일 환영, 모르시면 질문도 환영 =끝=
1. Amazon Machine Images(AMI) for Biology
a. JBrowse AMI
32-bit images: ami-8ff312e6
64-bit images: ami-346c8b5d (based on CentOS)
b. Galaxy AMI
AMI: ami-228a7e4b
Name 115971652512/galaxy-cloudman-2010-10-08
c. GBrowse AMI
AMI: ami-c228cfab
Search: gbrowse
d. UCSC Genome Browser
In your AWS console screen, start an instance from the AMI: ami-cc55b2a5
An m1.large machine is large enough for ordinary genome browser work. This is a standard UCSC genome browser configured to work with the Hg18 data volumes, UCSC release version v20
http://genomewiki.ucsc.edu/index.php/Amazon_Cloud_Instance
2. Amazon S3 Storage and EBS
a. 1000 Genome Project BAM files
s3://1000genomes
ex) s3cmd ls s3://1000genomes
ex) http://1000genomes.s3.amazonaws.com
b. 1000 Genome Project GVF (Genome Variation Format) files
b.1. 10Gen dataset from the sequence ontology project S3 :s3://10gen-gvf
b.2. 10Gen dataset from the sequence ontology project EBS snapshot: snap-4d20c920
1. Amazon Machine Images(AMI) for Biology
a. JBrowse AMI
32-bit images: ami-8ff312e6
64-bit images: ami-346c8b5d (based on CentOS)
b. Galaxy AMI
AMI: ami-228a7e4b
Name 115971652512/galaxy-cloudman-2010-10-08
c. GBrowse AMI
AMI: ami-c228cfab
Search: gbrowse
d. UCSC Genome Browser
In your AWS console screen, start an instance from the AMI: ami-cc55b2a5
An m1.large machine is large enough for ordinary genome browser work. This is a standard UCSC genome browser configured to work with the Hg18 data volumes, UCSC release version v20
http://genomewiki.ucsc.edu/index.php/Amazon_Cloud_Instance
2. Amazon S3 Storage and EBS
a. 1000 Genome Project BAM files
s3://1000genomes
ex) s3cmd ls s3://1000genomes
ex) http://1000genomes.s3.amazonaws.com
b. 1000 Genome Project GVF (Genome Variation Format) files
b.1. 10Gen dataset from the sequence ontology project S3 :s3://10gen-gvf
b.2. 10Gen dataset from the sequence ontology project EBS snapshot: snap-4d20c920
반응형