Text mining for biology--the way forward: opinions from leading scientists

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Text mining for biology--the way forward : opinions from leading scientists. / Altman, Russ B; Bergman, Casey M; Blake, Judith; Blaschke, Christian; Cohen, Aaron; Gannon, Frank; Grivell, Les; Hahn, Udo; Hersh, William; Hirschman, Lynette; Jensen, Lars Juhl; Krallinger, Martin; Mons, Barend; O'Donoghue, Seán I; Peitsch, Manuel C; Rebholz-Schuhmann, Dietrich; Shatkay, Hagit; Valencia, Alfonso.

In: Genome Biology (Online Edition), Vol. 9 Suppl 2, 2008, p. S7.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Altman, RB, Bergman, CM, Blake, J, Blaschke, C, Cohen, A, Gannon, F, Grivell, L, Hahn, U, Hersh, W, Hirschman, L, Jensen, LJ, Krallinger, M, Mons, B, O'Donoghue, SI, Peitsch, MC, Rebholz-Schuhmann, D, Shatkay, H & Valencia, A 2008, 'Text mining for biology--the way forward: opinions from leading scientists', Genome Biology (Online Edition), vol. 9 Suppl 2, pp. S7. https://doi.org/10.1186/gb-2008-9-s2-s7

APA

Altman, R. B., Bergman, C. M., Blake, J., Blaschke, C., Cohen, A., Gannon, F., ... Valencia, A. (2008). Text mining for biology--the way forward: opinions from leading scientists. Genome Biology (Online Edition), 9 Suppl 2, S7. https://doi.org/10.1186/gb-2008-9-s2-s7

Vancouver

Altman RB, Bergman CM, Blake J, Blaschke C, Cohen A, Gannon F et al. Text mining for biology--the way forward: opinions from leading scientists. Genome Biology (Online Edition). 2008;9 Suppl 2:S7. https://doi.org/10.1186/gb-2008-9-s2-s7

Author

Altman, Russ B ; Bergman, Casey M ; Blake, Judith ; Blaschke, Christian ; Cohen, Aaron ; Gannon, Frank ; Grivell, Les ; Hahn, Udo ; Hersh, William ; Hirschman, Lynette ; Jensen, Lars Juhl ; Krallinger, Martin ; Mons, Barend ; O'Donoghue, Seán I ; Peitsch, Manuel C ; Rebholz-Schuhmann, Dietrich ; Shatkay, Hagit ; Valencia, Alfonso. / Text mining for biology--the way forward : opinions from leading scientists. In: Genome Biology (Online Edition). 2008 ; Vol. 9 Suppl 2. pp. S7.

Bibtex

@article{b1c8dc15586140fb9b759e9a05a60a0f,
title = "Text mining for biology--the way forward: opinions from leading scientists",
abstract = "This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress.",
keywords = "Computational Biology, Expert Testimony, Publishing",
author = "Altman, {Russ B} and Bergman, {Casey M} and Judith Blake and Christian Blaschke and Aaron Cohen and Frank Gannon and Les Grivell and Udo Hahn and William Hersh and Lynette Hirschman and Jensen, {Lars Juhl} and Martin Krallinger and Barend Mons and O'Donoghue, {Se{\'a}n I} and Peitsch, {Manuel C} and Dietrich Rebholz-Schuhmann and Hagit Shatkay and Alfonso Valencia",
year = "2008",
doi = "10.1186/gb-2008-9-s2-s7",
language = "English",
volume = "9 Suppl 2",
pages = "S7",
journal = "Genome Biology (Online Edition)",
issn = "1474-7596",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Text mining for biology--the way forward

T2 - opinions from leading scientists

AU - Altman, Russ B

AU - Bergman, Casey M

AU - Blake, Judith

AU - Blaschke, Christian

AU - Cohen, Aaron

AU - Gannon, Frank

AU - Grivell, Les

AU - Hahn, Udo

AU - Hersh, William

AU - Hirschman, Lynette

AU - Jensen, Lars Juhl

AU - Krallinger, Martin

AU - Mons, Barend

AU - O'Donoghue, Seán I

AU - Peitsch, Manuel C

AU - Rebholz-Schuhmann, Dietrich

AU - Shatkay, Hagit

AU - Valencia, Alfonso

PY - 2008

Y1 - 2008

N2 - This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress.

AB - This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger workflows; and suggestions for additional challenge evaluations, new applications, and additional resources needed to make progress.

KW - Computational Biology

KW - Expert Testimony

KW - Publishing

U2 - 10.1186/gb-2008-9-s2-s7

DO - 10.1186/gb-2008-9-s2-s7

M3 - Journal article

C2 - 18834498

VL - 9 Suppl 2

SP - S7

JO - Genome Biology (Online Edition)

JF - Genome Biology (Online Edition)

SN - 1474-7596

ER -

ID: 40740016