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An international virtual hackathon to build tools for the analysis of structural variants within species ranging from coronaviruses to vertebrates

Authors :
Jean Monlong
Claude Sinner
Dreycey Albin
Ann M Mc Cartney
Justin N. Vaughn
Arun Subramaniyan
Advait Balaji
Medhat Mahmoud
Moez Dawood
Qiandong Zeng
Eric T. Dawson
Najeeb Syed
Zev N. Kronenberg
Todd J. Treangen
Daniel L Cameron
Timothy Hefferon
Mark Chaisson
Ahmad Al Khleifat
Michael M. Khayat
Hakeem Almabrazi
Moritz Smolka
Fritz J. Sedlazeck
Evan Biederstedt
Alejandro Rafael Gener
Rupesh K. Kesharwani
Ahmed Arslan
James M Havrilla
Arda Soylev
Sagayamary Sagayaradj
Pamella Tater
Christopher Dunn
Fawaz Dabbaghie
Daniela C. Soto
Pankaj Vats
Barry Zorman
Wouter De Coster
Neha Tadimeti
Yunxi Liu
Ben Busby
Tsung-Yu Lu
Gaojianyong Wang
Kimberley Billingsley
Stephen J. Price
Kimberly Walker
Elbay Aliyev
Haowei Du
Daniel Paiva Agustinho
Divya Kalra
Tingting Zhao
Maximillian Marin
Adam C. English
Jingwen Ren
Bryce Kille
Shangzhe Zhang
Sairam Behera
Michael Jochum
Rocio Esteban
Angad Jolly
Nicolae Sapoval
Chunxiao Liao
Joyjit Daw
Chen-Shan Chin
Source :
F1000Research
Publication Year :
2021
Publisher :
F1000 Research Limited, 2021.

Abstract

In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine & DNAnexus hackathon, focusing on different related topics on Structural Variation, Pan-genomes, and SARS-CoV-2 related research. The overarching focus was to assess the current status of the field and identify the remaining challenges. Furthermore, how to combine the strengths of the different interests to drive research and method development forward. Over the four days, eight groups each designed and developed new open-source methods to improve the identification and analysis of variations among species, including humans and SARS-CoV-2. These included improvements in SV calling, genotyping, annotations and filtering. Together with advancements in benchmarking existing methods. Furthermore, groups focused on the diversity of SARS-CoV-2. Daily discussion summary and methods are available publicly at https://github.com/collaborativebioinformatics provides valuable insights for both participants and the research community.

Details

Language :
English
ISSN :
20461402
Volume :
10
Database :
OpenAIRE
Journal :
F1000Research
Accession number :
edsair.doi.dedup.....546f5accc41a778026741976126f637d