Skip to main content

Project generated with PyScaffold PyPI-Server Unit tests

GenomicRanges

GenomicRanges provides container classes designed to represent genomic locations and support genomic analysis. It is similar to Bioconductor's GenomicRanges.

Intervals are inclusive on both ends and starts at 1.

To get started, install the package from PyPI

pip install genomicranges

GenomicRanges

GenomicRanges is the base class to represent and operate over genomic regions and annotations.

From UCSC or GTF file

You can easily download and parse genome annotations from UCSC or load a genome annotation from a GTF file,

import genomicranges

gr = genomicranges.read_gtf(<PATH TO GTF>)
# OR
gr = genomicranges.read_ucsc(genome="hg19")

print(gr)
## output
## GenomicRanges with 1760959 intervals & 10 metadata columns.
## ... truncating the console print ...

Pandas DataFrame

A common representation in Python is a pandas DataFrame for all tabular datasets. DataFrame must contain columns "seqnames", "starts", and "ends" to represent genomic intervals. Here's an example:

import genomicranges
import pandas as pd

df = pd.DataFrame(
    {
        "seqnames": ["chr1", "chr2", "chr1", "chr3", "chr2"],
        "starts": [101, 102, 103, 104, 109],
        "ends": [112, 103, 128, 134, 111],
        "strand": ["*", "-", "*", "+", "-"],
        "score": range(0, 5),
        "GC": [random() for _ in range(5)],
    }
)

gr = genomicranges.from_pandas(df)
print(gr)
## output
GenomicRanges with 5 intervals & 2 metadata columns
┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓
┃ row_names ┃ seqnames <list> ┃ starts <list> ┃ ends <list> ┃ strand <list> ┃ score <list> ┃ GC <list>           ┃
┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩
│ 0         │ chr1            │ 101           │ 112         │ *             │ 0            │ 0.22617584001235103 │
│ 1         │ chr2            │ 102           │ 103         │ -             │ 1            │ 0.25464256182466394 │
│ ...       │ ...             │ ...           │ ...         │ ...           │ ...          │ ...                 │
│ 4         │ chr2            │ 109           │ 111         │ -             │ 4            │ 0.5414168889911801  │
└───────────┴─────────────────┴───────────────┴─────────────┴───────────────┴──────────────┴─────────────────────┘

Interval Operations

GenomicRanges supports most interval based operations.

subject = genomicranges.from_ucsc(genome="hg38")

query = genomicranges.from_pandas(
    pd.DataFrame(
        {
            "seqnames": ["chr1", "chr2", "chr3"],
            "starts": [100, 115, 119],
            "ends": [103, 116, 120],
        }
    )
)

hits = subject.nearest(query)
print(hits)

GenomicRangesList

Just as it sounds, a GenomicRangesList is a named-list like object. If you are wondering why you need this class, a GenomicRanges object lets us specify multiple genomic elements, usually where the genes start and end. Genes are themselves made of many sub-regions, e.g. exons. GenomicRangesList allows us to represent this nested structure.

Currently, this class is limited in functionality.

To construct a GenomicRangesList

gr1 = GenomicRanges(
    {
        "seqnames": ["chr1", "chr2", "chr1", "chr3"],
        "starts": [1, 3, 2, 4],
        "ends": [10, 30, 50, 60],
        "strand": ["-", "+", "*", "+"],
        "score": [1, 2, 3, 4],
    }
)

gr2 = GenomicRanges(
    {
        "seqnames": ["chr2", "chr4", "chr5"],
        "starts": [3, 6, 4],
        "ends": [30, 50, 60],
        "strand": ["-", "+", "*"],
        "score": [2, 3, 4],
    }
)

grl = GenomicRangesList(ranges=[gr1, gr2], names=["gene1", "gene2"])
print(grl)
## output
GenomicRangesList with 2 genomic elements

Name: gene1
            GenomicRanges with 4 intervals & 1 metadata columns
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ seqnames <list> ┃ starts <list> ┃ ends <list> ┃ strand <list> ┃ score <list> ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ chr1            │ 1             │ 10          │ -             │ 1            │
│ chr2            │ 3             │ 30          │ +             │ 2            │
│ chr3            │ 4             │ 60          │ +             │ 4            │
└─────────────────┴───────────────┴─────────────┴───────────────┴──────────────┘

Name: gene2
            GenomicRanges with 3 intervals & 1 metadata columns
┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓
┃ seqnames <list> ┃ starts <list> ┃ ends <list> ┃ strand <list> ┃ score <list> ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩
│ chr2            │ 3             │ 30          │ -             │ 2            │
│ chr4            │ 6             │ 50          │ +             │ 3            │
│ chr5            │ 4             │ 60          │ *             │ 4            │
└─────────────────┴───────────────┴─────────────┴───────────────┴──────────────┘

Further information

Note

This project has been set up using PyScaffold 4.1.1. For details and usage information on PyScaffold see https://pyscaffold.org/.

Release files for genomicranges 0.3.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for genomicranges 0.3.8
File Size Uploaded
GenomicRanges-0.3.8.tar.gz 59.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for genomicranges 0.3.8
File Interpreter ABI Platform
GenomicRanges-0.3.8-py3-none-any.whl Python 3 none any Details

Total release size: 96.1 kB

Release files / GenomicRanges-0.3.8.tar.gz

Download URL GenomicRanges-0.3.8.tar.gz
Size 59.6 kB
Tags Source
SHA-256 checksum
How to use checksums
c7228323ec9884ef2ec9bd57b7da5ae46c7859c890edcb33267d0fad4f231bcc
BLAKE2b-256 checksum
How to use checksums
9e8e3a8a12ae217df75a4b234c3887d0c7b5aae14a031c96ef0235a8271ded27
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Release files / GenomicRanges-0.3.8-py3-none-any.whl

Download URL GenomicRanges-0.3.8-py3-none-any.whl
Size 36.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
442dd33dc22090aa15e6844f45ebc2aa20ccc2de758299cd181d3ba520f4e9b1
BLAKE2b-256 checksum
How to use checksums
613f5998ad3c6c9a0cd7499ca08b4725ad8204d55c2da7b019603e7675bbaa14
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Release history Release notifications | RSS feed

0.9.0

2 release files

0.8.5

2 release files

0.8.4

2 release files

0.8.3

2 release files

0.8.2

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.3

2 release files

0.6.2

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.34

2 release files

0.4.33

2 release files

0.4.32

2 release files

0.4.30

2 release files

0.4.29

2 release files

0.4.28

2 release files

0.4.27

2 release files

0.4.26

2 release files

0.4.25

2 release files

0.4.23

2 release files

0.4.22

2 release files

0.4.21

2 release files

0.4.20

2 release files

0.4.19

2 release files

0.4.18

2 release files

0.4.17

2 release files

0.4.16

2 release files

0.4.15

2 release files

0.4.14

2 release files

0.4.13

2 release files

0.4.12

2 release files

0.4.11

2 release files

0.4.10

2 release files

0.4.9

2 release files

0.4.8

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.9

2 release files

This release

0.3.8 This release

2 release files

0.3.7

2 release files

0.3.6

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.11

2 release files

0.2.10

2 release files

0.2.9

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2

2 release files

0.1.1

2 release files

0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page