Macarthurlab.org receives about 2658 visitors in one month. That could possibly earn $13.29 each month or $0.44 each day. Server of the website is located in the United States. Macarthurlab.org main page was reached and loaded in 0.4 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Traffic and Value
| Is macarthurlab.org legit? | |
| Website Value | $240 |
| Alexa Rank | 1759873 |
| Monthly Visits | 2658 |
| Daily Visits | 89 |
| Monthly Earnings | $13.29 |
| Daily Earnings | $0.44 |
Macarthurlab.org Server Location
Country: United States
Metropolitan Area: San Francisco
Postal Reference Code: 94110
Latitude: 37.7506
Longitude: -122.4121
Summarized Content
Macarthurlab Main Page Content
| HTML Tag | Content | Informative? |
|---|---|---|
| Title: | MacArthur Lab | Extracting useful information from large genomic |  |
| Description: | The MacArthur lab uses cutting-edge genomic technologies at massive scale to understand the impact of human genetic variation, and to provide answers to families affected by rare genetic diseases. exome aggregation We lead an international consortium that has assembled ExAC, the world's largest | |
| H1: | MacArthur Lab | Is it informative enough? |
| H2: | Extracting useful information from large genomic datasets. | |
| H3: | Recent posts | Is it informative enough? |
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Internal Pages
| /people/: | |
|---|---|
| Title |
People | MacArthur Lab |
| Description |
Daniel MacArthur Daniel is a group leader within the ytic and Translational Genetics Unit (ATGU) at M achusetts General Hospital. He is also istant Professor at Harvard Medical School, and the Co-Director of Medical and Population Genetics at the Broad Institute of Harvard and MIT. @dgmacarthur macarthurlab.org Senior staff Jessica Alföldi Jessica is the ociate director of genomic data; she… [censored]
|
| H1 |
MacArthur Lab |
| H2 |
Extracting useful information from large genomic datasets. |
| H3 |
Senior staff |
| /jobs/: | |
|---|---|
| Title |
Jobs | MacArthur Lab |
| Description |
Job Openings ociate Computational Biologist II Computational Biologist I Software Engineer: Genome Aggregation Database Software Engineer: Rare Disease Genomics Academic Positions - Post-doctoral Fellows About the MacArthur Lab We are a tight-knit research group jointly based as M achusetts General Hospital and the Broad Institute of Harvard and MIT, and leveraging the largest genomic data sets in… [censored]
|
| H1 |
MacArthur Lab |
| H2 |
Extracting useful information from large genomic datasets. |
| H3 |
Recent posts |
| /blog/: | |
|---|---|
| Title |
Blog | MacArthur Lab | Extracting useful information from large genomic datasets. |
| Description |
Extracting useful information from large genomic datasets. |
| H1 |
MacArthur Lab |
| H2 |
Extracting useful information from large genomic datasets. |
| H3 |
Important usage notes |
| /publications/: | |
|---|---|
| Title |
Publications | MacArthur Lab |
| Description |
Selected publications Tukiainen T, Villani AC, Yen A, Rivas MA, Marshall JL, Satija R, Aguirre M, Gauthier L, Fleharty M, Kirby A, mings BB, Castel SE, Karczewski KJ, Aguet F, Byrnes A; GTEx Consortium; Laboratory, Data ysis &Coordinating Center (LDACC)— ysis Working Group; Statistical Methods groups— ysis Working Group; Enhancing GTEx (eGTEx) groups; NIH Common Fund; NIH/NCI;… [censored]
|
| H1 |
MacArthur Lab |
| H2 |
Extracting useful information from large genomic datasets. |
| H3 |
Recent posts |
| /exome-aggregation/: | |
|---|---|
| Title |
Exome aggregation | MacArthur Lab |
| Description |
embling a catalogue of human protein-coding variation Together with collaborators from a wide range of disease-specific research consortia we have embled and reprocessed the world's largest collection of human exome data, the Exome Aggregation Consortium (ExAC) collection, providing unprecedented resolution of the patterns of genetic variation in human protein-coding genes. We have released a public dataset with variation… [censored]
|
| H1 |
MacArthur Lab |
| H2 |
Extracting useful information from large genomic datasets. |
| H3 |
embling a catalogue of human protein-coding variation [censored]
|
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