Hamming chromatography
Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
1996 |
|---|
| Umfang: |
6 |
|---|
| Reproduktion: |
Springer Online Journal Archives 1860-2002 |
|---|---|
| Übergeordnetes Werk: |
in: Molecular diversity - 1995, 1(1996) vom: März, Seite 187-192 |
| Übergeordnetes Werk: |
volume:1 ; year:1996 ; month:03 ; pages:187-192 ; extent:6 |
| Links: |
|---|
| Katalog-ID: |
NLEJ195174909 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLEJ195174909 | ||
| 003 | DE-627 | ||
| 005 | 20210708003413.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 070526s1996 xx |||||o 00| ||eng c | ||
| 035 | |a (DE-627)NLEJ195174909 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 245 | 1 | 0 | |a Hamming chromatography |
| 264 | 1 | |c 1996 | |
| 300 | |a 6 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. | ||
| 533 | |f Springer Online Journal Archives 1860-2002 | ||
| 700 | 1 | |a Schwienhorst, Andreas |4 oth | |
| 700 | 1 | |a Schober, Andreas |4 oth | |
| 700 | 1 | |a Günther, Rolf |4 oth | |
| 700 | 1 | |a Stadler, Peter F. |4 oth | |
| 773 | 0 | 8 | |i in |t Molecular diversity |d 1995 |g 1(1996) vom: März, Seite 187-192 |w (DE-627)NLEJ188989196 |w (DE-600)2003589-5 |x 1573-501X |7 nnns |
| 773 | 1 | 8 | |g volume:1 |g year:1996 |g month:03 |g pages:187-192 |g extent:6 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/BF01544957 |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a ZDB-1-SOJ | ||
| 912 | |a GBV_NL_ARTICLE | ||
| 951 | |a AR | ||
| 952 | |d 1 |j 1996 |c 3 |h 187-192 |g 6 | ||
| matchkey_str |
article:1573501X:1996----::amncrmt |
|---|---|
| hierarchy_sort_str |
1996 |
| publishDate |
1996 |
| allfields |
(DE-627)NLEJ195174909 DE-627 ger DE-627 rakwb eng Hamming chromatography 1996 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. Springer Online Journal Archives 1860-2002 Schwienhorst, Andreas oth Schober, Andreas oth Günther, Rolf oth Stadler, Peter F. oth in Molecular diversity 1995 1(1996) vom: März, Seite 187-192 (DE-627)NLEJ188989196 (DE-600)2003589-5 1573-501X nnns volume:1 year:1996 month:03 pages:187-192 extent:6 http://dx.doi.org/10.1007/BF01544957 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 1 1996 3 187-192 6 |
| spelling |
(DE-627)NLEJ195174909 DE-627 ger DE-627 rakwb eng Hamming chromatography 1996 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. Springer Online Journal Archives 1860-2002 Schwienhorst, Andreas oth Schober, Andreas oth Günther, Rolf oth Stadler, Peter F. oth in Molecular diversity 1995 1(1996) vom: März, Seite 187-192 (DE-627)NLEJ188989196 (DE-600)2003589-5 1573-501X nnns volume:1 year:1996 month:03 pages:187-192 extent:6 http://dx.doi.org/10.1007/BF01544957 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 1 1996 3 187-192 6 |
| allfields_unstemmed |
(DE-627)NLEJ195174909 DE-627 ger DE-627 rakwb eng Hamming chromatography 1996 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. Springer Online Journal Archives 1860-2002 Schwienhorst, Andreas oth Schober, Andreas oth Günther, Rolf oth Stadler, Peter F. oth in Molecular diversity 1995 1(1996) vom: März, Seite 187-192 (DE-627)NLEJ188989196 (DE-600)2003589-5 1573-501X nnns volume:1 year:1996 month:03 pages:187-192 extent:6 http://dx.doi.org/10.1007/BF01544957 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 1 1996 3 187-192 6 |
| allfieldsGer |
(DE-627)NLEJ195174909 DE-627 ger DE-627 rakwb eng Hamming chromatography 1996 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. Springer Online Journal Archives 1860-2002 Schwienhorst, Andreas oth Schober, Andreas oth Günther, Rolf oth Stadler, Peter F. oth in Molecular diversity 1995 1(1996) vom: März, Seite 187-192 (DE-627)NLEJ188989196 (DE-600)2003589-5 1573-501X nnns volume:1 year:1996 month:03 pages:187-192 extent:6 http://dx.doi.org/10.1007/BF01544957 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 1 1996 3 187-192 6 |
| allfieldsSound |
(DE-627)NLEJ195174909 DE-627 ger DE-627 rakwb eng Hamming chromatography 1996 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. Springer Online Journal Archives 1860-2002 Schwienhorst, Andreas oth Schober, Andreas oth Günther, Rolf oth Stadler, Peter F. oth in Molecular diversity 1995 1(1996) vom: März, Seite 187-192 (DE-627)NLEJ188989196 (DE-600)2003589-5 1573-501X nnns volume:1 year:1996 month:03 pages:187-192 extent:6 http://dx.doi.org/10.1007/BF01544957 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 1 1996 3 187-192 6 |
| language |
English |
| source |
in Molecular diversity 1(1996) vom: März, Seite 187-192 volume:1 year:1996 month:03 pages:187-192 extent:6 |
| sourceStr |
in Molecular diversity 1(1996) vom: März, Seite 187-192 volume:1 year:1996 month:03 pages:187-192 extent:6 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| isfreeaccess_bool |
false |
| container_title |
Molecular diversity |
| authorswithroles_txt_mv |
Schwienhorst, Andreas @@oth@@ Schober, Andreas @@oth@@ Günther, Rolf @@oth@@ Stadler, Peter F. @@oth@@ |
| publishDateDaySort_date |
1996-03-01T00:00:00Z |
| hierarchy_top_id |
NLEJ188989196 |
| id |
NLEJ195174909 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ195174909</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210708003413.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070526s1996 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ195174909</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hamming chromatography</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1996</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">6</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Springer Online Journal Archives 1860-2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schwienhorst, Andreas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schober, Andreas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Günther, Rolf</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stadler, Peter F.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Molecular diversity</subfield><subfield code="d">1995</subfield><subfield code="g">1(1996) vom: März, Seite 187-192</subfield><subfield code="w">(DE-627)NLEJ188989196</subfield><subfield code="w">(DE-600)2003589-5</subfield><subfield code="x">1573-501X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:1996</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:187-192</subfield><subfield code="g">extent:6</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1007/BF01544957</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SOJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">1996</subfield><subfield code="c">3</subfield><subfield code="h">187-192</subfield><subfield code="g">6</subfield></datafield></record></collection>
|
| series2 |
Springer Online Journal Archives 1860-2002 |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ188989196 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| collection |
NL |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1573-501X |
| topic_title |
Hamming chromatography |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
a s as a s as r g rg p f s pf pfs |
| hierarchy_parent_title |
Molecular diversity |
| hierarchy_parent_id |
NLEJ188989196 |
| hierarchy_top_title |
Molecular diversity |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)NLEJ188989196 (DE-600)2003589-5 |
| title |
Hamming chromatography |
| spellingShingle |
Hamming chromatography |
| ctrlnum |
(DE-627)NLEJ195174909 |
| title_full |
Hamming chromatography |
| journal |
Molecular diversity |
| journalStr |
Molecular diversity |
| lang_code |
eng |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
1996 |
| contenttype_str_mv |
zzz |
| container_start_page |
187 |
| container_volume |
1 |
| physical |
6 |
| format_se |
Elektronische Aufsätze |
| title_sort |
hamming chromatography |
| title_auth |
Hamming chromatography |
| abstract |
Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. |
| abstractGer |
Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. |
| abstract_unstemmed |
Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra. |
| collection_details |
GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE |
| title_short |
Hamming chromatography |
| url |
http://dx.doi.org/10.1007/BF01544957 |
| remote_bool |
true |
| author2 |
Schwienhorst, Andreas Schober, Andreas Günther, Rolf Stadler, Peter F. |
| author2Str |
Schwienhorst, Andreas Schober, Andreas Günther, Rolf Stadler, Peter F. |
| ppnlink |
NLEJ188989196 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| up_date |
2024-07-06T02:56:19.410Z |
| _version_ |
1803796694338371584 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ195174909</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210708003413.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070526s1996 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ195174909</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hamming chromatography</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1996</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">6</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Summary Selection of molecules with desired properties from random pools of biopolymers has become a powerful tool in biotechnology. On designing an evolution experiment, a certain knowledge of the concomitant fitness landscape is clearly helpful to set up the optimal experimental conditions. The correlation function is a useful means of characterizing a given landscape, since it can be efficiently measured if one has a method of separating a pool of random sequences according to their Hamming distance from a moderately small number of test sequences. In this paper we describe a special type of hybridization chromatography, where a mixture of oligomers (partially) complementary to a given test sequence is hybridized to the test sequence, covalently bound to a matrix. DNA oligomers are eluted in an ‘effective temperature gradient’ using conditions that minimize the differences of effects of GC versus AT pairs on the melting temperatures. This method should be a means to quickly separate error classes and thus be the crucial step in characterizing fitness landscapes of biopolymers through an experimental approach. It would also be a useful tool to design sequence pools with a bias towards desired mutant spectra.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Springer Online Journal Archives 1860-2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schwienhorst, Andreas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schober, Andreas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Günther, Rolf</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Stadler, Peter F.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Molecular diversity</subfield><subfield code="d">1995</subfield><subfield code="g">1(1996) vom: März, Seite 187-192</subfield><subfield code="w">(DE-627)NLEJ188989196</subfield><subfield code="w">(DE-600)2003589-5</subfield><subfield code="x">1573-501X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:1</subfield><subfield code="g">year:1996</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:187-192</subfield><subfield code="g">extent:6</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1007/BF01544957</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SOJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">1</subfield><subfield code="j">1996</subfield><subfield code="c">3</subfield><subfield code="h">187-192</subfield><subfield code="g">6</subfield></datafield></record></collection>
|
| score |
7.399419 |