Skip to main content

Structured Python interface to NCBI E-Utilities.

Project description

pypi_badge build_status issues_badge contributors license docs changelog

eutils is a Python package to simplify searching, fetching, and parsing records from NCBI using their E-utilities interface.

News

Features

  • simple Pythonic interface for searching and fetching

  • automatic query rate throttling per NCBI guidelines

  • optional sqlite-based caching of compressed replies

  • “façades” that facilitate access to essential attributes in replies

A Quick Example

As of May 1, 2018, NCBI throttles requests based on whether a client is registered. Unregistered clients are limited to 3 requests/second; registered clients are granted 10 requests/second, and may request more. See the NCBI Announcement for more information.

The eutils package will automatically throttle requests according to NCBI guidelines (3 or 10 requests/second without or with an API key, respectively).

$ pip install eutils
$ ipython

>>> from eutils import Client

# Initialize a client. This client handles all caching and query
# throttling.  For example:
>>> ec = Client(api_key=os.environ.get("NCBI_API_KEY", None))

# search for tumor necrosis factor genes
# any valid NCBI query may be used
>>> esr = ec.esearch(db='gene',term='tumor necrosis factor')

# fetch one of those (gene id 7157 is human TNF)
>>> egs = ec.efetch(db='gene', id=7157)

# One may fetch multiple genes at a time. These are returned as an
# EntrezgeneSet. We'll grab the first (and only) child, which returns
# an instance of the Entrezgene class.
>>> eg = egs.entrezgenes[0]

# Easily access some basic information about the gene
>>> eg.hgnc, eg.maploc, eg.description, eg.type, eg.genus_species
('TP53', '17p13.1', 'tumor protein p53', 'protein-coding', 'Homo sapiens')

# get a list of genomic references
>>> sorted([(r.acv, r.label) for r in eg.references])
[('NC_000017.11', 'Chromosome 17 Reference GRCh38...'),
 ('NC_018928.2', 'Chromosome 17 Alternate ...'),
 ('NG_017013.2', 'RefSeqGene')]

# Get the first three products defined on GRCh38
#>>> [p.acv for p in eg.references[0].products][:3]
#['NM_001126112.2', 'NM_001276761.1', 'NM_000546.5']

# As a sample, grab the first product defined on this reference (order is arbitrary)
>>> mrna = eg.references[0].products[0]
>>> str(mrna)
'GeneCommentary(acv=NM_001126112.2,type=mRNA,heading=Reference,label=transcript variant 2)'

# mrna.genomic_coords provides access to the exon definitions on this reference

>>> mrna.genomic_coords.gi, mrna.genomic_coords.strand
('568815581', -1)

>>> mrna.genomic_coords.intervals
[(7687376, 7687549), (7676520, 7676618), (7676381, 7676402),
(7675993, 7676271), (7675052, 7675235), (7674858, 7674970),
(7674180, 7674289), (7673700, 7673836), (7673534, 7673607),
(7670608, 7670714), (7668401, 7669689)]

# and the mrna has a product, the resulting protein:
>>> str(mrna.products[0])
'GeneCommentary(acv=NP_001119584.1,type=peptide,heading=Reference,label=isoform a)'

Important Notes

  • You are encouraged to browse issues. Please report any issues you find.

  • Use a pip package specification to ensure stay within minor releases for API stability. For example, eutils >=0.1,<0.2.

Developing and Contributing

Contributions of bug reports, code patches, and documentation are welcome!

Development occurs in the default branch. Please work in feature branches or bookmarks from the default branch. Feature branches should be named for the eutils issue they fix, as in 121-update-xml-facades. When merging, use a commit message like “closes #121: update xml facades to new-style interface”. (“closes #n” is recognized automatically and closes the ticket upon pushing.)

The included Makefile automates many tasks. In particular, make develop prepares a development environment and make test runs unittests. (Please run tests before committing!)

Again, thanks for your contributions.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eutils-0.5.2.tar.gz (304.3 kB view details)

Uploaded Source

Built Distribution

eutils-0.5.2-py2.py3-none-any.whl (42.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file eutils-0.5.2.tar.gz.

File metadata

  • Download URL: eutils-0.5.2.tar.gz
  • Upload date:
  • Size: 304.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.7

File hashes

Hashes for eutils-0.5.2.tar.gz
Algorithm Hash digest
SHA256 b800e035a911e1e7f1e56598d6b97a47e2314104125d673ed202496c4facf371
MD5 42d28e45be76262f687e7233ec2dc278
BLAKE2b-256 47618f543d5dfd09cfa688fca5628eb1e86bb486285e088cd86b83d6d13fa725

See more details on using hashes here.

File details

Details for the file eutils-0.5.2-py2.py3-none-any.whl.

File metadata

  • Download URL: eutils-0.5.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 42.2 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.7

File hashes

Hashes for eutils-0.5.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3c104ad0a09f7cd288454c9fd03c3aff3273b27a9fd1ee5a2bddbe5c97e163c9
MD5 03f67f4fb3454e0bfcb2064cb367c3c6
BLAKE2b-256 d22126099001848413c8670b4640734613a48b7dc69a8f9051aaf6ca56be19e1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page