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Read and write the PLINK BED format, simply and efficiently. 

Features:

* Fast multi-threaded Rust engine.
* Supports all Python indexing methods. Slice data by individuals (samples) and/or SNPs (variants).
* Used by [PySnpTools](https://github.com/fastlmm/PySnpTools), [FaST-LMM](https://github.com/fastlmm/FaST-LMM), and [PyStatGen](https://github.com/pystatgen).
* Supports [PLINK 1.9](https://www.cog-genomics.org/plink2/formats).

Install
====================

    pip install bed-reader


Usage
========

Read genomic data from a .bed file.

```python
>>> import numpy as np
>>> from bed_reader import open_bed, sample_file
>>>
>>> file_name = sample_file("small.bed")
>>> bed = open_bed(file_name)
>>> val = bed.read()
>>> print(val)
[[ 1.  0. nan  0.]
 [ 2.  0. nan  2.]
 [ 0.  1.  2.  0.]]
>>> del bed

```

Read every second individual and SNPs (variants) from 20 to 30.

```python
>>> file_name2 = sample_file("some_missing.bed")
>>> bed2 = open_bed(file_name2)
>>> val2 = bed2.read(index=np.s_[::2,20:30])
>>> print(val2.shape)
(50, 10)
>>> del bed2

```

List the first 5 individual (sample) ids, the
first 5 SNP (variant) ids, and every unique
chromosome. Then, read every genomic value in chromosome 5.

```python
>>> with open_bed(file_name2) as bed3:
...     print(bed3.iid[:5])
...     print(bed3.sid[:5])
...     print(np.unique(bed3.chromosome))
...     val3 = bed3.read(index=np.s_[:,bed3.chromosome=='5'])
...     print(val3.shape)
['iid_0' 'iid_1' 'iid_2' 'iid_3' 'iid_4']
['sid_0' 'sid_1' 'sid_2' 'sid_3' 'sid_4']
['1' '10' '11' '12' '13' '14' '15' '16' '17' '18' '19' '2' '20' '21' '22'
 '3' '4' '5' '6' '7' '8' '9']
(100, 6)

```

Project Links
==============

- [**Documentation**](http://fastlmm.github.io/bed-reader)
- **Questions to**: [fastlmm-dev@python.org](mailto:fastlmm-dev@python.org)
- [**Source code**](https://github.com/fastlmm/bed-reader)
- [**PyPI**](https://pypi.org/project/bed-reader)
- [**Bug reports**](https://github.com/fastlmm/bed-reader/issues)
- [**Mailing list**](https://mail.python.org/mailman3/lists/fastlmm-user.python.org)
- [**Project Website**](https://fastlmm.github.io/)
