Algorithms for Molecular Biology (Запис № 460345)

МАРК-запис
000 -LEADER
fixed length control field 02268nas a22003375i 4500
001 - CONTROL NUMBER
control field 1748-7188
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230906105727.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1748-7188
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 13015
Source of number or code local
210 10 - ABBREVIATED TITLE
Abbreviated title Algorithms Mol Biol
245 10 - TITLE STATEMENT
Title Algorithms for Molecular Biology
Medium [electronic resource] /
Statement of responsibility, etc edited by Sebastian Will, Peter Stadler.
264 #1 -
-- London :
-- BioMed Central :
-- Imprint: BioMed Central.
300 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc Algorithms for Molecular Biology publishes articles on novel and improved algorithms and methods in bioinformatics. Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, combinatorial algorithms, statistical methods, machine learning, and network analysis. Where appropriate, manuscripts should also describe applications to real-world data and/or evaluations of algorithms on simulated data. Pure algorithm papers are welcome if future applications to biological data are to be expected, or if they address complexity or approximation issues of novel computational problems in molecular biology. Articles about novel software tools and benchmarking studies will be considered for publication if they contain algorithmically interesting aspects. The journal does not publish applications of established tools, methods, or workflows to particular biological case studies and descriptions of incremental improvements of software tools or data resources. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational and Systems Biology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical and Computational Biology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Algorithms.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Will, Sebastian.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stadler, Peter.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://almob.biomedcentral.com/">https://almob.biomedcentral.com/</a>
Public note Open Access

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