Literature DB >> 32502232

LabxDB: versatile databases for genomic sequencing and lab management.

Charles E Vejnar1, Antonio J Giraldez1,2,3.   

Abstract

SUMMARY: Experimental laboratory management and data-driven science require centralized software for sharing information, such as lab collections or genomic sequencing datasets. Although database servers such as PostgreSQL can store such information with multiple-user access, they lack user-friendly graphical and programmatic interfaces for easy data access and inputting. We developed LabxDB, a versatile open-source solution for organizing and sharing structured data. We provide several out-of-the-box databases for deployment in the cloud including simple mutant or plasmid collections and purchase-tracking databases. We also developed a high-throughput sequencing (HTS) database, LabxDB seq, dedicated to storage of hierarchical sample annotations. Scientists can import their own or publicly available HTS data into LabxDB seq to manage them from production to publication. Using LabxDB's programmatic access (REST API), annotations can be easily integrated into bioinformatics pipelines. LabxDB is modular, offering a flexible framework that scientists can leverage to build new database interfaces adapted to their needs.
AVAILABILITY AND IMPLEMENTATION: LabxDB is available at https://gitlab.com/vejnar/labxdb and https://labxdb.vejnar.org for documentation. LabxDB is licensed under the terms of the Mozilla Public License 2.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2020        PMID: 32502232      PMCID: PMC7575048          DOI: 10.1093/bioinformatics/btaa557

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


  10 in total

1.  Parkour LIMS: high-quality sample preparation in next generation sequencing.

Authors:  E Anatskiy; D P Ryan; B A Grüning; L Arrigoni; T Manke; U Bönisch
Journal:  Bioinformatics       Date:  2019-04-15       Impact factor: 6.937

2.  CLIP identifies Nova-regulated RNA networks in the brain.

Authors:  Jernej Ule; Kirk B Jensen; Matteo Ruggiu; Aldo Mele; Aljaz Ule; Robert B Darnell
Journal:  Science       Date:  2003-11-14       Impact factor: 47.728

3.  Genome-wide mapping of in vivo protein-DNA interactions.

Authors:  David S Johnson; Ali Mortazavi; Richard M Myers; Barbara Wold
Journal:  Science       Date:  2007-05-31       Impact factor: 47.728

4.  Ribosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomes.

Authors:  Nicholas T Ingolia; Liana F Lareau; Jonathan S Weissman
Journal:  Cell       Date:  2011-11-03       Impact factor: 41.582

5.  A high-resolution mRNA expression time course of embryonic development in zebrafish.

Authors:  Richard J White; John E Collins; Ian M Sealy; Neha Wali; Christopher M Dooley; Zsofia Digby; Derek L Stemple; Daniel N Murphy; Konstantinos Billis; Thibaut Hourlier; Anja Füllgrabe; Matthew P Davis; Anton J Enright; Elisabeth M Busch-Nentwich
Journal:  Elife       Date:  2017-11-16       Impact factor: 8.140

6.  The sequence read archive.

Authors:  Rasko Leinonen; Hideaki Sugawara; Martin Shumway
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

7.  SMITH: a LIMS for handling next-generation sequencing workflows.

Authors:  Francesco Venco; Yuriy Vaskin; Arnaud Ceol; Heiko Muller
Journal:  BMC Bioinformatics       Date:  2014-11-27       Impact factor: 3.169

8.  MASTR-MS: a web-based collaborative laboratory information management system (LIMS) for metabolomics.

Authors:  Adam Hunter; Saravanan Dayalan; David De Souza; Brad Power; Rodney Lorrimar; Tamas Szabo; Thu Nguyen; Sean O'Callaghan; Jeremy Hack; James Pyke; Amsha Nahid; Roberto Barrero; Ute Roessner; Vladimir Likic; Dedreia Tull; Antony Bacic; Malcolm McConville; Matthew Bellgard
Journal:  Metabolomics       Date:  2016-12-27       Impact factor: 4.290

9.  Genome wide analysis of 3' UTR sequence elements and proteins regulating mRNA stability during maternal-to-zygotic transition in zebrafish.

Authors:  Charles E Vejnar; Mario Abdel Messih; Carter M Takacs; Valeria Yartseva; Panos Oikonomou; Romain Christiano; Marlon Stoeckius; Stephanie Lau; Miler T Lee; Jean-Denis Beaudoin; Damir Musaev; Hiba Darwich-Codore; Tobias C Walther; Saeed Tavazoie; Daniel Cifuentes; Antonio J Giraldez
Journal:  Genome Res       Date:  2019-06-21       Impact factor: 9.043

10.  MetaLIMS, a simple open-source laboratory information management system for small metagenomic labs.

Authors:  Cassie Elizabeth Heinle; Nicolas Paul Eugène Gaultier; Dana Miller; Rikky Wenang Purbojati; Federico M Lauro
Journal:  Gigascience       Date:  2017-06-01       Impact factor: 6.524

  10 in total
  6 in total

1.  Stage Specific Transcriptomic Analysis and Database for Zebrafish Oogenesis.

Authors:  Yoel Bogoch; Allison Jamieson-Lucy; Charles E Vejnar; Karine Levy; Antonio J Giraldez; Mary C Mullins; Yaniv M Elkouby
Journal:  Front Cell Dev Biol       Date:  2022-06-06

2.  The landscape of pioneer factor activity reveals the mechanisms of chromatin reprogramming and genome activation.

Authors:  Liyun Miao; Yin Tang; Ashley R Bonneau; Shun Hang Chan; Mina L Kojima; Mark E Pownall; Charles E Vejnar; Feng Gao; Smita Krishnaswamy; Caroline E Hendry; Antonio J Giraldez
Journal:  Mol Cell       Date:  2022-02-18       Impact factor: 19.328

3.  A proteomics approach identifies novel resident zebrafish Balbiani body proteins Cirbpa and Cirbpb.

Authors:  Allison H Jamieson-Lucy; Manami Kobayashi; Y James Aykit; Yaniv M Elkouby; Matias Escobar-Aguirre; Charles E Vejnar; Antonio J Giraldez; Mary C Mullins
Journal:  Dev Biol       Date:  2022-01-20       Impact factor: 3.582

4.  Bicc1 and Dicer regulate left-right patterning through post-transcriptional control of the Nodal inhibitor Dand5.

Authors:  Markus Maerker; Maike Getwan; Megan E Dowdle; Jason C McSheene; Vanessa Gonzalez; José L Pelliccia; Danielle S Hamilton; Valeria Yartseva; Charles Vejnar; Melanie Tingler; Katsura Minegishi; Philipp Vick; Antonio J Giraldez; Hiroshi Hamada; Rebecca D Burdine; Michael D Sheets; Martin Blum; Axel Schweickert
Journal:  Nat Commun       Date:  2021-09-16       Impact factor: 14.919

5.  Reinforcing one-carbon metabolism via folic acid/Folr1 promotes β-cell differentiation.

Authors:  Christos Karampelias; Habib Rezanejad; Mandy Rosko; Likun Duan; Jing Lu; Laura Pazzagli; Philippe Bertolino; Carolyn E Cesta; Xiaojing Liu; Gregory S Korbutt; Olov Andersson
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

6.  Characterizing Microbiomes via Sequencing of Marker Loci: Techniques To Improve Throughput, Account for Cross-Contamination, and Reduce Cost.

Authors:  Joshua G Harrison; Gregory D Randolph; C Alex Buerkle
Journal:  mSystems       Date:  2021-07-13       Impact factor: 6.496

  6 in total

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