000 | 03251nam a22006375i 4500 | ||
---|---|---|---|
001 | 978-3-642-15060-9 | ||
003 | DE-He213 | ||
005 | 20240423125720.0 | ||
007 | cr nn 008mamaa | ||
008 | 100821s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642150609 _9978-3-642-15060-9 |
||
024 | 7 |
_a10.1007/978-3-642-15060-9 _2doi |
|
050 | 4 | _aQH301-705 | |
072 | 7 |
_aPSA _2bicssc |
|
072 | 7 |
_aSCI086000 _2bisacsh |
|
072 | 7 |
_aPSA _2thema |
|
082 | 0 | 4 |
_a570 _223 |
245 | 1 | 0 |
_aAdvances in Bioinformatics and Computational Biology _h[electronic resource] : _b5th Brazilian Symposium on Bioinformatics, BSB 2010, Rio de Janeiro, Brazil, August 31--September 3, 2010, Proceedings / _cedited by Carlos E. Ferreira, Satoru Miyano, Peter F. Stadler. |
250 | _a1st ed. 2010. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2010. |
|
300 |
_aIX, 81 p. 18 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v6268 |
|
505 | 0 | _aFull Papers -- Evolution of the Long Non-coding RNAs MALAT1 and MEN?/? -- Granger Causality in Systems Biology: Modeling Gene Networks in Time Series Microarray Data Using Vector Autoregressive Models -- Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data -- Bounds on the Transposition Distance for Lonely Permutations -- Insights on Haplotype Inference on Large Genotype Datasets -- Extended Abstracts -- An SVM Model Based on Physicochemical Properties to Predict Antimicrobial Activity from Protein Sequences with Cysteine Knot Motifs -- Enabling Annotation Provenance in Bioinformatics Workflow Applications -- BAT: A New Biclustering Analysis Toolbox -- Detection of Protein Domains in Eukaryotic Genome Sequences -- Discretization of Flexible-Receptor Docking Data. | |
650 | 0 | _aLife sciences. | |
650 | 0 | _aComputer programming. | |
650 | 0 | _aData structures (Computer science). | |
650 | 0 | _aInformation theory. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aAlgorithms. | |
650 | 1 | 4 | _aLife Sciences. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aData Structures and Information Theory. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAlgorithms. |
700 | 1 |
_aFerreira, Carlos E. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMiyano, Satoru. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aStadler, Peter F. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783642150593 |
776 | 0 | 8 |
_iPrinted edition: _z9783642150616 |
830 | 0 |
_aLecture Notes in Bioinformatics, _x2366-6331 ; _v6268 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-642-15060-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cSPRINGER | ||
999 |
_c180951 _d180951 |