Literature DB >> 9885151

Expanding yeast knowledge online.

K Dolinski1, C A Ball, S A Chervitz, S S Dwight, M A Harris, S Roberts, T Roe, J M Cherry, D Botstein.   

Abstract

The completion of the Saccharomyces cerevisiae genome sequencing project and the continued development of improved technology for large-scale genome analysis have led to tremendous growth in the amount of new yeast genetics and molecular biology data. Efficient organization, presentation, and dissemination of this information are essential if researchers are to exploit this knowledge. In addition, the development of tools that provide efficient analysis of this information and link it with pertinent information from other systems is becoming increasingly important at a time when the complete genome sequences of other organisms are becoming available. The aim of this review is to familiarize biologists with the type of data resources currently available on the World Wide Web (WWW).

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Year:  1998        PMID: 9885151      PMCID: PMC3037831          DOI: 10.1002/(SICI)1097-0061(199812)14:16<1453::AID-YEA348>3.0.CO;2-G

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  20 in total

1.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  Blocks database and its applications.

Authors:  J G Henikoff; S Henikoff
Journal:  Methods Enzymol       Date:  1996       Impact factor: 1.600

3.  Characterization of the yeast transcriptome.

Authors:  V E Velculescu; L Zhang; W Zhou; J Vogelstein; M A Basrai; D E Bassett; P Hieter; B Vogelstein; K W Kinzler
Journal:  Cell       Date:  1997-01-24       Impact factor: 41.582

4.  Improved tools for biological sequence comparison.

Authors:  W R Pearson; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1988-04       Impact factor: 11.205

5.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

6.  SCOP: a structural classification of proteins database for the investigation of sequences and structures.

Authors:  A G Murzin; S E Brenner; T Hubbard; C Chothia
Journal:  J Mol Biol       Date:  1995-04-07       Impact factor: 5.469

7.  Identification of common molecular subsequences.

Authors:  T F Smith; M S Waterman
Journal:  J Mol Biol       Date:  1981-03-25       Impact factor: 5.469

Review 8.  Life with 6000 genes.

Authors:  A Goffeau; B G Barrell; H Bussey; R W Davis; B Dujon; H Feldmann; F Galibert; J D Hoheisel; C Jacq; M Johnston; E J Louis; H W Mewes; Y Murakami; P Philippsen; H Tettelin; S G Oliver
Journal:  Science       Date:  1996-10-25       Impact factor: 47.728

9.  Searching protein sequence libraries: comparison of the sensitivity and selectivity of the Smith-Waterman and FASTA algorithms.

Authors:  W R Pearson
Journal:  Genomics       Date:  1991-11       Impact factor: 5.736

10.  Large-scale analysis of gene expression, protein localization, and gene disruption in Saccharomyces cerevisiae.

Authors:  N Burns; B Grimwade; P B Ross-Macdonald; E Y Choi; K Finberg; G S Roeder; M Snyder
Journal:  Genes Dev       Date:  1994-05-01       Impact factor: 11.361

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  3 in total

1.  MIPS: a database for genomes and protein sequences.

Authors:  H W Mewes; D Frishman; C Gruber; B Geier; D Haase; A Kaps; K Lemcke; G Mannhaupt; F Pfeiffer; C Schüller; S Stocker; B Weil
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Single Molecule Analysis Research Tool (SMART): an integrated approach for analyzing single molecule data.

Authors:  Max Greenfeld; Dmitri S Pavlichin; Hideo Mabuchi; Daniel Herschlag
Journal:  PLoS One       Date:  2012-02-20       Impact factor: 3.240

3.  Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data.

Authors:  Max Greenfeld; Jan-Willem van de Meent; Dmitri S Pavlichin; Hideo Mabuchi; Chris H Wiggins; Ruben L Gonzalez; Daniel Herschlag
Journal:  BMC Bioinformatics       Date:  2015-01-16       Impact factor: 3.169

  3 in total

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