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Prediction of disulfide bonding sites in proteins using position and composition relative feature vectors / Mehreen Jamil

By: Material type: TextTextPublication details: Lahore : UMT, Department of Computer Science, 2017Description: 57 p. CDSubject(s): DDC classification:
  • TP 005.74613282 MEH-P
Item type: Theses and Term Papers
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Current library Call number Status Date due Barcode
UMT Main Campus TP 005.74613282 MEH-P (Browse shelf(Opens below)) Not for loan 110088

Report presented in partial requirement for MS degree
Advisor: Yaser Daanial Khan

Eng

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