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bioSyntax: syntax highlighting for computational biology

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bioSyntax: syntax highlighting for computational biology. / Babaian, Artem; Ebou, Anicet; Fegen, Alyssa; Kam, Ho Yin; Novakovsky, German E; Wong, Jasper; Aïssi, Dylan; Yao, Li.

In: BMC BIOINFORMATICS, Vol. 19, No. 1, 303, 22.08.2018.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Babaian, A, Ebou, A, Fegen, A, Kam, HY, Novakovsky, GE, Wong, J, Aïssi, D & Yao, L 2018, 'bioSyntax: syntax highlighting for computational biology', BMC BIOINFORMATICS, vol. 19, no. 1, 303. https://doi.org/10.1186/s12859-018-2315-y

APA

Babaian, A., Ebou, A., Fegen, A., Kam, H. Y., Novakovsky, G. E., Wong, J., Aïssi, D., & Yao, L. (2018). bioSyntax: syntax highlighting for computational biology. BMC BIOINFORMATICS, 19(1), [303]. https://doi.org/10.1186/s12859-018-2315-y

Vancouver

Babaian A, Ebou A, Fegen A, Kam HY, Novakovsky GE, Wong J et al. bioSyntax: syntax highlighting for computational biology. BMC BIOINFORMATICS. 2018 Aug 22;19(1). 303. https://doi.org/10.1186/s12859-018-2315-y

Bibtex

@article{6c80eedf626c45519ca8cbab69786415,
title = "bioSyntax: syntax highlighting for computational biology",
abstract = "BACKGROUND: Computational biology requires the reading and comprehension of biological data files. Plain-text formats such as SAM, VCF, GTF, PDB and FASTA, often contain critical information which is obfuscated by the data structure complexity.RESULTS: bioSyntax ( https://biosyntax.org/ ) is a freely available suite of biological syntax highlighting packages for vim, gedit, Sublime, VSCode, and less. bioSyntax improves the legibility of low-level biological data in the bioinformatics workspace.CONCLUSION: bioSyntax supports computational scientists in parsing and comprehending their data efficiently and thus can accelerate research output.",
keywords = "Computational Biology, Information Storage and Retrieval, Nucleotides/genetics, Sequence Alignment, Software",
author = "Artem Babaian and Anicet Ebou and Alyssa Fegen and Kam, {Ho Yin} and Novakovsky, {German E} and Jasper Wong and Dylan A{\"i}ssi and Li Yao",
year = "2018",
month = aug,
day = "22",
doi = "10.1186/s12859-018-2315-y",
language = "English",
volume = "19",
journal = "BMC BIOINFORMATICS",
issn = "1471-2105",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - bioSyntax: syntax highlighting for computational biology

AU - Babaian, Artem

AU - Ebou, Anicet

AU - Fegen, Alyssa

AU - Kam, Ho Yin

AU - Novakovsky, German E

AU - Wong, Jasper

AU - Aïssi, Dylan

AU - Yao, Li

PY - 2018/8/22

Y1 - 2018/8/22

N2 - BACKGROUND: Computational biology requires the reading and comprehension of biological data files. Plain-text formats such as SAM, VCF, GTF, PDB and FASTA, often contain critical information which is obfuscated by the data structure complexity.RESULTS: bioSyntax ( https://biosyntax.org/ ) is a freely available suite of biological syntax highlighting packages for vim, gedit, Sublime, VSCode, and less. bioSyntax improves the legibility of low-level biological data in the bioinformatics workspace.CONCLUSION: bioSyntax supports computational scientists in parsing and comprehending their data efficiently and thus can accelerate research output.

AB - BACKGROUND: Computational biology requires the reading and comprehension of biological data files. Plain-text formats such as SAM, VCF, GTF, PDB and FASTA, often contain critical information which is obfuscated by the data structure complexity.RESULTS: bioSyntax ( https://biosyntax.org/ ) is a freely available suite of biological syntax highlighting packages for vim, gedit, Sublime, VSCode, and less. bioSyntax improves the legibility of low-level biological data in the bioinformatics workspace.CONCLUSION: bioSyntax supports computational scientists in parsing and comprehending their data efficiently and thus can accelerate research output.

KW - Computational Biology

KW - Information Storage and Retrieval

KW - Nucleotides/genetics

KW - Sequence Alignment

KW - Software

U2 - 10.1186/s12859-018-2315-y

DO - 10.1186/s12859-018-2315-y

M3 - SCORING: Journal article

C2 - 30134911

VL - 19

JO - BMC BIOINFORMATICS

JF - BMC BIOINFORMATICS

SN - 1471-2105

IS - 1

M1 - 303

ER -