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fast5-research-1.2.9


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توضیحات

ONT Research .fast5 read/write API.
ویژگی مقدار
سیستم عامل -
نام فایل fast5-research-1.2.9
نام fast5-research
نسخه کتابخانه 1.2.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده cwright
ایمیل نویسنده cwright@nanoporetech.com
آدرس صفحه اصلی https://github.com/nanoporetech/fast5_research
آدرس اینترنتی https://pypi.org/project/fast5-research/
مجوز Mozilla Public License 2.0
![Oxford Nanopore Technologies logo](https://github.com/nanoporetech/medaka/raw/master/images/ONT_logo_590x106.png) fast5_research ============== [![Build Status](https://travis-ci.org/nanoporetech/fast5_research.svg?branch=master)](https://travis-ci.org/nanoporetech/fast5_research) Python fast5 reading and writing functionality provided by ONT Research. © 2018 Oxford Nanopore Technologies Ltd. Features -------- * Read interface bulk `.fast5` file for extracting reads, channel states, voltage, ... * Read/Write interface to single read files guaranteeing conformity. * Works on Linux, MacOS, and Windows. * Open source (Mozilla Public License 2.0). Documentation can be found at https://nanoporetech.github.io/fast5_research/. Installation ------------ `fast5_research` is available from pypi can can be installed with pip: pip install fast5_research Usage ----- Full documentation can be found at the link above, below are two simple examples. To read a file: from fast5_research import Fast5 filename='my.fast5' with Fast5(filename) as fh: raw = fh.get_read(raw=True) summary = fh.summary() print('Raw is {} samples long.'.format(len(raw))) print('Summary {}.'.format(summary)) Write a file, the library will check the given meta data, ensure that all required values are present, and covert all values to their defined types. from uuid import uuid4 import numpy as np from fast5_research import Fast5 filename='my_new.fast5' mean, stdv, n = 40.0, 2.0, 10000 raw_data = np.random.laplace(mean, stdv/np.sqrt(2), int(dwell)) # example of how to digitize data start, stop = int(min(raw_data - 1)), int(max(raw_data + 1)) rng = stop - start digitisation = 8192.0 bins = np.arange(start, stop, rng / digitisation) # np.int16 is required, the library will refuse to write anything other raw_data = np.digitize(raw_data, bins).astype(np.int16) # The following are required meta data channel_id = { 'digitisation': digitisation, 'offset': 0, 'range': rng, 'sampling_rate': 4000, 'channel_number': 1, } read_id = { 'start_time': 0, 'duration': len(raw_data), 'read_number': 1, 'start_mux': 1, 'read_id': str(uuid4()), 'scaling_used': 1, 'median_before': 0, } tracking_id = { 'exp_start_time': '1970-01-01T00:00:00Z', 'run_id': str(uuid4()).replace('-',''), 'flow_cell_id': 'FAH00000', } context_tags = {} with Fast5.New(filename, 'w', tracking_id=tracking_id, context_tags=context_tags, channel_id=channel_id) as h: h.set_raw(raw_data, meta=read_id, read_number=1) Help ---- **Licence and Copyright** © 2018 Oxford Nanopore Technologies Ltd. `medaka` is distributed under the terms of the Mozilla Public License 2.0. **Research Release** Research releases are provided as technology demonstrators to provide early access to features or stimulate Community development of tools. Support for this software will be minimal and is only provided directly by the developers. Feature requests, improvements, and discussions are welcome and can be implemented by forking and pull requests. However much as we would like to rectify every issue and piece of feedback users may have, the developers may have limited resource for support of this software. Research releases may be unstable and subject to rapid iteration by Oxford Nanopore Technologies.


نحوه نصب


نصب پکیج whl fast5-research-1.2.9:

    pip install fast5-research-1.2.9.whl


نصب پکیج tar.gz fast5-research-1.2.9:

    pip install fast5-research-1.2.9.tar.gz