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The Resource The ripper gene, Michael Ransom
The ripper gene, Michael Ransom
Resource Information
The item The ripper gene, Michael Ransom represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sno-Isle Libraries.This item is available to borrow from all library branches.
Resource Information
The item The ripper gene, Michael Ransom represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sno-Isle Libraries.
This item is available to borrow from all library branches.
- Summary
- "Dr. Lucas Madden is a neuroscientist-turned-FBI profiler who first gained global recognition for cloning the ripper gene and showing its dysfunction in the brains of psychopaths. Later, as an FBI profiler, Madden achieved further notoriety by sequencing the DNA of the world's most notorious serial killers and proposing a controversial "damnation algorithm" that could predict serial killer behavior using DNA alone. Now, a new murderer--the Snow White Killer--is terrorizing women in the Mississippi Delta. When Mara Bliss, Madden's former fiancée is kidnapped, he must track down a killer who is always two steps ahead of him. Only by entering the killer's mind will Madden ultimately understand the twisted and terrifying rationale behind the murders--and have a chance at ending the psychopath's reign of terror"--
- Language
- eng
- Edition
- First edition.
- Extent
- 303 pages
- Isbn
- 9780765376879
- Label
- The ripper gene
- Title
- The ripper gene
- Statement of responsibility
- Michael Ransom
- Subject
-
- Delta (Miss. : Region) -- Fiction
- Detective and mystery fiction
- Fiction
- Mississippi -- Delta Region
- Neuroscientists
- Neuroscientists -- Fiction
- Criminal behavior, Prediction of
- Women -- Violence against
- Women -- Violence against -- Fiction
- Thrillers (Fiction)
- Criminal behavior, Prediction of -- Fiction
- Language
- eng
- Summary
- "Dr. Lucas Madden is a neuroscientist-turned-FBI profiler who first gained global recognition for cloning the ripper gene and showing its dysfunction in the brains of psychopaths. Later, as an FBI profiler, Madden achieved further notoriety by sequencing the DNA of the world's most notorious serial killers and proposing a controversial "damnation algorithm" that could predict serial killer behavior using DNA alone. Now, a new murderer--the Snow White Killer--is terrorizing women in the Mississippi Delta. When Mara Bliss, Madden's former fiancée is kidnapped, he must track down a killer who is always two steps ahead of him. Only by entering the killer's mind will Madden ultimately understand the twisted and terrifying rationale behind the murders--and have a chance at ending the psychopath's reign of terror"--
- Assigning source
- Provided by publisher
- Cataloging source
- DLC
- http://library.link/vocab/creatorName
- Ransom, Michael
- Dewey number
- 813/.6
- Index
- no index present
- LC call number
- PS3618.A6855
- LC item number
- R57 2015
- Literary form
- fiction
- http://library.link/vocab/subjectName
-
- Neuroscientists
- Criminal behavior, Prediction of
- Women
- Criminal behavior, Prediction of
- Neuroscientists
- Women
- Delta (Miss. : Region)
- Mississippi
- Label
- The ripper gene, Michael Ransom
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Dimensions
- 25 cm
- Edition
- First edition.
- Extent
- 303 pages
- Isbn
- 9780765376879
- Lccn
- 2015015052
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- System control number
-
- (OCoLC)890435608
- 865960
- (OCoLC)ocn890435608
- Label
- The ripper gene, Michael Ransom
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Dimensions
- 25 cm
- Edition
- First edition.
- Extent
- 303 pages
- Isbn
- 9780765376879
- Lccn
- 2015015052
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- System control number
-
- (OCoLC)890435608
- 865960
- (OCoLC)ocn890435608
Subject
- Delta (Miss. : Region) -- Fiction
- Detective and mystery fiction
- Fiction
- Mississippi -- Delta Region
- Neuroscientists
- Neuroscientists -- Fiction
- Criminal behavior, Prediction of
- Women -- Violence against
- Women -- Violence against -- Fiction
- Thrillers (Fiction)
- Criminal behavior, Prediction of -- Fiction
Genre
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.sno-isle.org/portal/The-ripper-gene-Michael-Ransom/ZbPohVfPV1M/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sno-isle.org/portal/The-ripper-gene-Michael-Ransom/ZbPohVfPV1M/">The ripper gene, Michael Ransom</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sno-isle.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.sno-isle.org/">Sno-Isle Libraries</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.sno-isle.org/portal/The-ripper-gene-Michael-Ransom/ZbPohVfPV1M/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sno-isle.org/portal/The-ripper-gene-Michael-Ransom/ZbPohVfPV1M/">The ripper gene, Michael Ransom</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sno-isle.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.sno-isle.org/">Sno-Isle Libraries</a></span></span></span></span></div>
