PF-IND: probability algorithm and software for separation of plant and fungal sequences (Record no. 41732)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01933nam a2200217Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MX-MdCICY |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250625124700.0 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CICY |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | B-7401 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250602s9999 xx |||||s2 |||| ||und|d |
| 245 10 - TITLE STATEMENT | |
| Title | PF-IND: probability algorithm and software for separation of plant and fungal sequences |
| 490 0# - SERIES STATEMENT | |
| Volume/sequential designation | Current Genetics, 43, p.296-302, 2003 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | The separation of plant and fungal sequences in EST pools by bioinformatic methods is difficult because of sequence similarities between plants and fungi, lack of enough sequence information, and the short length of the isolated fragments. An algorithm and software that utilize the differences in codon usage bias to discriminate between plant and fungal sequences are described. The software (PF-IND)includes five pairs of fungi and their host plants that can be used to analyze a large number of related species. Analysis of a sequence provides an arbitrary value that defines the likelihood that a sequence will be a fungal or a plant gene. The software can distinguish between homologous fungal and plant genes and it helps identify the correct reading frame of unknown expressed sequence tags (ESTs)for which BLAST analyses do not provide clear information. Short sequences of 100-150 bp can be analyzed with high confidence. PF-IND analysis of 100 sequences derived from fungal infected plants identified the origin of 94 sequences. Only 66 sequences were identified by a BLASTX analysis of the same 100 ESTs. Overall, PFIND is a novel bioinformatic tool aimed at assisting the research of fungus-plant interactions. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Maor, R. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kosman, E. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Golobinski, R. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Goodwin, P. |
| 700 12 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sharon, A. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://drive.google.com/file/d/1nsbCsxBv1hB7QV6aJ94gT3DrKBAJh4UT/view?usp=drivesdk">https://drive.google.com/file/d/1nsbCsxBv1hB7QV6aJ94gT3DrKBAJh4UT/view?usp=drivesdk</a> |
| Public note | Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Clasificación local |
| Koha item type | Documentos solicitados |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Clasificación local | Ref1 | CICY | CICY | Documento préstamo interbibliotecario | 25.06.2025 | B-7401 | 25.06.2025 | 25.06.2025 | Documentos solicitados |