Literature DB >> 31332428

SquiggleKit: a toolkit for manipulating nanopore signal data.

James M Ferguson1, Martin A Smith1,2.   

Abstract

SUMMARY: The management of raw nanopore sequencing data poses a challenge that must be overcome to facilitate the creation of new bioinformatics algorithms predicated on signal analysis. SquiggleKit is a toolkit for manipulating and interrogating nanopore data that simplifies file handling, data extraction, visualization and signal processing.
AVAILABILITY AND IMPLEMENTATION: SquiggleKit is cross platform and freely available from GitHub at (https://github.com/Psy-Fer/SquiggleKit). Detailed documentation can be found at (https://psy-fer.github.io/SquiggleKitDocs/). All tools have been designed to operate in python 2.7+, with minimal additional libraries. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press.

Mesh:

Year:  2019        PMID: 31332428     DOI: 10.1093/bioinformatics/btz586

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

Review 1.  Nanopore sequencing technology, bioinformatics and applications.

Authors:  Yunhao Wang; Yue Zhao; Audrey Bollas; Yuru Wang; Kin Fai Au
Journal:  Nat Biotechnol       Date:  2021-11-08       Impact factor: 54.908

Review 2.  Nanopore-Based Detection of Viral RNA Modifications.

Authors:  Jonathan S Abebe; Ruth Verstraten; Daniel P Depledge
Journal:  mBio       Date:  2022-05-17       Impact factor: 7.786

3.  Inverted duplicate DNA sequences increase translocation rates through sequencing nanopores resulting in reduced base calling accuracy.

Authors:  Pieter Spealman; Jaden Burrell; David Gresham
Journal:  Nucleic Acids Res       Date:  2020-05-21       Impact factor: 16.971

4.  Molecular barcoding of native RNAs using nanopore sequencing and deep learning.

Authors:  Martin A Smith; Tansel Ersavas; James M Ferguson; Huanle Liu; Morghan C Lucas; Oguzhan Begik; Lilly Bojarski; Kirston Barton; Eva Maria Novoa
Journal:  Genome Res       Date:  2020-09-09       Impact factor: 9.043

5.  Transcriptional and epi-transcriptional dynamics of SARS-CoV-2 during cellular infection.

Authors:  Jessie J-Y Chang; Daniel Rawlinson; Miranda E Pitt; George Taiaroa; Josie Gleeson; Chenxi Zhou; Francesca L Mordant; Ricardo De Paoli-Iseppi; Leon Caly; Damian F J Purcell; Timothy P Stinear; Sarah L Londrigan; Michael B Clark; Deborah A Williamson; Kanta Subbarao; Lachlan J M Coin
Journal:  Cell Rep       Date:  2021-04-23       Impact factor: 9.423

6.  Sequoia: an interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets.

Authors:  Ratanond Koonchanok; Swapna Vidhur Daulatabad; Quoseena Mir; Khairi Reda; Sarath Chandra Janga
Journal:  BMC Genomics       Date:  2021-07-07       Impact factor: 3.969

7.  The m6A landscape of polyadenylated nuclear (PAN) RNA and its related methylome in the context of KSHV replication.

Authors:  Sarah Elizabeth Martin; Huachen Gan; Gabriela Toomer; Nikitha Sridhar; Joanna Sztuba-Solinska
Journal:  RNA       Date:  2021-06-29       Impact factor: 5.636

  7 in total

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