Melissa Gymrek1. 1. Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA 02139 and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA 02139 and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, MA 02139 and Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Abstract
UNLABELLED: Current sequence alignment browsers allow visualization of large and complex next-generation sequencing datasets. However, most of these tools provide inadequate display of insertions and can be cumbersome to use on large datasets. I implemented PyBamView, a lightweight Web application for visualizing short read alignments. It provides an easy-to-use Web interface for viewing alignments across multiple samples, with a focus on accurate visualization of insertions. AVAILABILITY AND IMPLEMENTATION: PyBamView is available as a standard python package. The source code is freely available under the MIT license at https://mgymrek.github.io/pybamview.
UNLABELLED: Current sequence alignment browsers allow visualization of large and complex next-generation sequencing datasets. However, most of these tools provide inadequate display of insertions and can be cumbersome to use on large datasets. I implemented PyBamView, a lightweight Web application for visualizing short read alignments. It provides an easy-to-use Web interface for viewing alignments across multiple samples, with a focus on accurate visualization of insertions. AVAILABILITY AND IMPLEMENTATION: PyBamView is available as a standard python package. The source code is freely available under the MIT license at https://mgymrek.github.io/pybamview.
Authors: Egor Dolzhenko; Ben Weisburd; Kristina Ibañez; Indhu-Shree Rajan-Babu; Jan M Friedman; Arianna Tucci; Heidi L Rehm; Michael A Eberle; Christine Anyansi; Mark F Bennett; Kimberley Billingsley; Ashley Carroll; Samuel Clamons; Matt C Danzi; Viraj Deshpande; Jinhui Ding; Sarah Fazal; Andreas Halman; Bharati Jadhav; Yunjiang Qiu; Phillip A Richmond; Christopher T Saunders; Konrad Scheffler; Joke J F A van Vugt; Ramona R A J Zwamborn; Samuel S Chong Journal: Genome Med Date: 2022-08-11 Impact factor: 15.266