forked from awslabs/open-data-registry
-
Notifications
You must be signed in to change notification settings - Fork 1
/
encode-project.yaml
49 lines (49 loc) · 2.47 KB
/
encode-project.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
Name: Encyclopedia of DNA Elements (ENCODE)
Description: |
The Encyclopedia of DNA Elements (ENCODE) Consortium is an international collaboration of
research groups funded by the National Human Genome Research Institute (NHGRI). The goal
of ENCODE is to build a comprehensive parts list of functional elements in the human genome,
including elements that act at the protein and RNA levels, and regulatory elements that
control cells and circumstances in which a gene is active. ENCODE investigators employ a
variety of assays and methods to identify functional elements. The discovery and annotation
of gene elements is accomplished primarily by sequencing a diverse range of RNA sources,
comparative genomics, integrative bioinformatic methods, and human curation. Regulatory
elements are typically investigated through DNA hypersensitivity assays, assays of
DNA methylation, and immunoprecipitation (IP) of proteins that interact with DNA and RNA,
i.e., modified histones, transcription factors, chromatin regulators, and
RNA-binding proteins, followed by sequencing.
Contact: [email protected]
ManagedBy: ENCODE Data Coordinating Center
Documentation: https://www.encodeproject.org
UpdateFrequency: Daily
Tags:
- aws-pds
- biology
- bioinformatics
- genetic
- genomic
- life sciences
- machine learning
- deep learning
License: External data users may freely download, analyze, and publish results based on any ENCODE data without restrictions.
Resources:
- Description: Released and archived ENCODE data
ARN: arn:aws:s3:::encode-public
Region: us-west-2
Type: S3 Bucket
DataAtWork:
Tutorials:
- Title: Exploring ENCODE data from EC2 with Jupyter notebook
URL: https://github.com/ENCODE-DCC/encode-data-usage-examples/blob/master/mount_s3_bucket_and_run_jupyter_on_ec2.ipynb
AuthorName: Keenan Graham
AuthorURL: https://github.com/keenangraham
- Title: ENCODE CTCF ChIP-seq data correlation across different cell types
URL: https://github.com/ENCODE-DCC/encode-data-usage-examples/blob/master/ctcf_chip_seq_cross_cell_type_correlation.ipynb
AuthorName: Paul Sud
AuthorURL: https://github.com/p-sud
- Title: Ingesting ENCODE data into TileDB with S3 backend
URL: https://github.com/ENCODE-DCC/encode-data-usage-examples/blob/master/ingest_encode_data_tile_db_with_s3_backend.ipynb
AuthorName: Otto Jolanki
AuthorURL: https://github.com/ottojolanki
Tools & Applications:
Publications: