The Experts below are selected from a list of 384 Experts worldwide ranked by ideXlab platform

Hallett Peter - One of the best experts on this subject based on the ideXlab platform.

Bernard J. Pope - One of the best experts on this subject based on the ideXlab platform.

  • Bionitio: demonstrating and facilitating best practices for bioinformatics Command-Line software.
    GigaScience, 2019
    Co-Authors: Peter Georgeson, Clare Sloggett, Jessica Chung, Harriet Dashnow, Michael Milton, Andrew Lonsdale, Anna E. Syme, David R Powell, Torsten Seemann, Bernard J. Pope
    Abstract:

    BACKGROUND: Bioinformatics software tools are often created ad hoc, frequently by people without extensive training in software development. In particular, for beginners, the barrier to entry in bioinformatics software development is high, especially if they want to adopt good programming practices. Even experienced developers do not always follow best practices. This results in the proliferation of poorer-quality bioinformatics software, leading to limited scalability and inefficient use of resources; lack of reproducibility, usability, adaptability, and interoperability; and erroneous or inaccurate results. FINDINGS: We have developed Bionitio, a tool that automates the process of starting new bioinformatics software projects following recommended best practices. With a single Command, the user can create a new well-structured project in 1 of 12 programming languages. The resulting software is functional, carrying out a prototypical bioinformatics task, and thus serves as both a working example and a template for building new tools. Key features include Command-Line Argument parsing, error handling, progress logging, defined exit status values, a test suite, a version number, standardized building and packaging, user documentation, code documentation, a standard open source software license, software revision control, and containerization. CONCLUSIONS: Bionitio serves as a learning aid for beginner-to-intermediate bioinformatics programmers and provides an excellent starting point for new projects. This helps developers adopt good programming practices from the beginning of a project and encourages high-quality tools to be developed more rapidly. This also benefits users because tools are more easily installed and consistent in their usage. Bionitio is released as open source software under the MIT License and is available at https://github.com/bionitio-team/bionitio.

Peter Georgeson - One of the best experts on this subject based on the ideXlab platform.

  • Bionitio: demonstrating and facilitating best practices for bioinformatics Command-Line software.
    GigaScience, 2019
    Co-Authors: Peter Georgeson, Clare Sloggett, Jessica Chung, Harriet Dashnow, Michael Milton, Andrew Lonsdale, Anna E. Syme, David R Powell, Torsten Seemann, Bernard J. Pope
    Abstract:

    BACKGROUND: Bioinformatics software tools are often created ad hoc, frequently by people without extensive training in software development. In particular, for beginners, the barrier to entry in bioinformatics software development is high, especially if they want to adopt good programming practices. Even experienced developers do not always follow best practices. This results in the proliferation of poorer-quality bioinformatics software, leading to limited scalability and inefficient use of resources; lack of reproducibility, usability, adaptability, and interoperability; and erroneous or inaccurate results. FINDINGS: We have developed Bionitio, a tool that automates the process of starting new bioinformatics software projects following recommended best practices. With a single Command, the user can create a new well-structured project in 1 of 12 programming languages. The resulting software is functional, carrying out a prototypical bioinformatics task, and thus serves as both a working example and a template for building new tools. Key features include Command-Line Argument parsing, error handling, progress logging, defined exit status values, a test suite, a version number, standardized building and packaging, user documentation, code documentation, a standard open source software license, software revision control, and containerization. CONCLUSIONS: Bionitio serves as a learning aid for beginner-to-intermediate bioinformatics programmers and provides an excellent starting point for new projects. This helps developers adopt good programming practices from the beginning of a project and encourages high-quality tools to be developed more rapidly. This also benefits users because tools are more easily installed and consistent in their usage. Bionitio is released as open source software under the MIT License and is available at https://github.com/bionitio-team/bionitio.

Sae-tan N - One of the best experts on this subject based on the ideXlab platform.

  • pupil-labs/pupil: Pupil Capture, Player, and Service release
    2019
    Co-Authors: Fischer T, Kassner M, Prietz P, Furst P, Barz M, Picanco R, Leu S, Emre D, Xia A, Sae-tan N
    Abstract:

    We are pleased to announce the release of Pupil v1.10! Download the latest bundle and let us know what you think via the #pupil channel on Discord :smile: Features Capture RealSense D400 Support - #1409 Please be aware, that it is recommended to keep your D400's firmware update-to-date. See the Intel documentation on how to do that. Intel does not currently provide a Python wrapper for macOS. Until they do, we are not able to support the Pupil Capture D400 backend on macOS. Player Export timestamps as csv on video export Timestamps will now be exported as a csv when you export a video #1411 Command-Line Arguments - #1384 Previously, only simple Arguments could be passed to Pupil via Command-Line. This included the debug and profiled mode. Motivated by #1315, we decided to start parsing Command-Line Arguments properly. See the pull request description for details on the available Command-Line Arguments. Pupil Remote port Command-Line Argument Using the --port PORT Argument, it is now possible to set the Pupil Remote port for Capture and Service. Bugfixes Fake Backend: Fix playback after seeking - #1396 Fixation Detector: Fix export format - #1395 Improved compatibility with macOS 10.14 Mojave - #1381 Developers notes New dependencies Optional, required for RealSense D400 backend: pyrealsense2 API changes Pupil Detector Network API, see PR for details - #1395 Pupil Remote: Forward IPC/multipart messages - #1385 We are hiring Python developers! Hey - you're reading the developer notes, so this is for you! We're looking to hire developers to contribute to Pupil source code. If you love Python and enjoy writing code that is a joy to read, get in touch. Experience with the scientific Python stack is a plus, but not required. We have a lot of exciting projects in the pipeLine. We are also looking for full stack Python developers that have experience with kubernetes, docker, and async server-side Python. Send an email to jobs@pupil-labs.com with a CV to start a discussion. We look forward to hearing from you.We are pleased to announce the release of Pupil v1.10! Download the latest bundle and let us know what you think via the #pupil channel on Discord :smile: Features Capture RealSense D400 Support - #1409 Please be aware, that it is recommended to keep your D400's firmware update-to-date. See the Intel documentation on how to do that. Intel does not currently provide a Python wrapper for macOS. Until they do, we are not able to support the Pupil Capture D400 backend on macOS. Player Export timestamps as csv on video export Timestamps will now be exported as a csv when you export a video #1411 Command-Line Arguments - #1384 Previously, only simple Arguments could be passed to Pupil via Command-Line. This included the debug and profiled mode. Motivated by #1315, we decided to start parsing Command-Line Arguments properly. See the pull request description for details on the available Command-Line Arguments. Pupil Remote port Command-Line Argument Using the --port PORT Argument, it is now possible to set the Pupil Remote port for Capture and Service. Bugfixes Fake Backend: Fix playback after seeking - #1396 Fixation Detector: Fix export format - #1395 Improved compatibility with macOS 10.14 Mojave - #1381 Developers notes New dependencies Optional, required for RealSense D400 backend: pyrealsense2 API changes Pupil Detector Network API, see PR for details - #1395 Pupil Remote: Forward IPC/multipart messages - #1385 We are hiring Python developers! Hey - you're reading the developer notes, so this is for you! We're looking to hire developers to contribute to Pupil source code. If you love Python and enjoy writing code that is a joy to read, get in touch. Experience with the scientific Python stack is a plus, but not required. We have a lot of exciting projects in the pipeLine. We are also looking for full stack Python developers that have experience with kubernetes, docker, and async server-side Python. Send an email to jobs@pupil-labs.com with a CV to start a discussion. We look forward to hearing from you.1.1

Vinay S Kapse - One of the best experts on this subject based on the ideXlab platform.

  • a statistical approach on analysis of evolving user behavior profilein Command Line Argument
    2013
    Co-Authors: Devendra B Dandekar, Vinay S Kapse
    Abstract:

    Knowledge about computer user is very essential. This statistical paper we approach for recognition of user behavior is very beneficial for assisting & predicting their future actions. A approach for creating and recognizing behavior automatically from the Commands when (s) he types in a Command-Line interface. We find out from this approach actual cause however, the construction of effective user profile problematic to human behavior is often erratic and sometimes it is different for their change of goals. We also developed the further recursive formula of the potential of a data point to become a cluster center using cosine distance, because a user profile changes constantly. We also propose a method to keep up to date the created profiles with comparative study during creation of evolve system approach & predict it.