³Õ¤h¯Z![]() |
|
±Â½Ò¨t¯Å¡G¥ÍÂå¸ê©Ò³Õ¤h¯Z¡B¤¤¬ã°|°ê»Ú¬ã¨s¥Í¥Íª«¸ê°T¾Çµ{ | ºÓ³Õ¤h¯Z¥Í¸ê±M°Q¤W¶Ç¨t²Î |
¥Í¸ê³Õ±MÃD°Q½× (³Õ¤G¥H¤W) |
Instructors¡G¶À«Å¸Û¦Ñ®v, §Å©[«~¦Ñ®v |
Location¡GRm. 411, Library, Information and Research Building (¹Ï¸ê¤j¼Ó411±Ð«Ç) |
Time¡GMonday, 13:30-15:20 |
Date | Speaker | Topic | Note |
---|---|---|---|
10¤ë04¤é | ³¯«Fʹ | Gene Family Size Conservation Is a Good Indicator of Evolutionary Rates | |
10¤ë11¤é | ¶À·çÄõ | Dnmt3a-Dependent Nonpromoter DNA Methylation Facilitates Transcription of Neurogenic Genes | |
10¤ë18¤é | °ª»Í¿A | An alignment-free model for comparison of regulatory sequences | |
10¤ë25¤é | |||
11¤ë01¤é | ·¨±T | Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis | |
11¤ë15¤é | ªL«a§Ê | Detection of splice junctions from paired-end RNA-seq data by SpliceMap | |
11¤ë22¤é | °ª°¶®p | Effects of CYP2C19 Genotype on Outcomes of Clopidogrel Treatment | |
11¤ë29¤é | ¦¿¯ÀÅ | Bayesian approach to transforming public gene expression repositories into disease diagnosis databases | |
12¤ë06¤é | ·¨§Ó½å | Structural sources of robustness in biochemical reaction networks | |
12¤ë13¤é | ³¯Ãý¦p | Examination of the relationship between essential genes in PPI network and hub proteins in reverse nearest neighbor topology | |
³Õ¤@»P¥Í¸ê³Õ±MÃD°Q½× |
Instructors¡G§õ°ê±l¦Ñ®v¡B±i¶Ç¶¯¦Ñ®v |
Location¡GRm. 404, Library, Information and Research Building, NYMU (¹Ï¸ê¤j¼Ó404±Ð«Ç) |
Time¡GThursday,15:30-18:20 |
Date | Speaker | Topic | Note |
---|---|---|---|
10¤ë07¤é | ³\®a¦ | Edgetic perturbation models of human inherited disorders | |
10¤ë21¤é | ¼B§Ñ{ | A computational analysis of the antigenic properties of haemagglutinin in influenza A H3N2 | |
10¤ë28¤é | ¯Î²E¶h | Improving protein secondary structure prediction using a simple k-mer model | |
11¤ë18¤é | ¶ÀÄå³· | Dissecting the expression patterns of transcription factors across conditions using an integrated network-based approach | |
11¤ë25¤é | ¤è®æÞm | Large-Scale Analysis of Network Bistability for Human Cancers | |
12¤ë02¤é | ©Ð«T³Ç | MIReNA: finding microRNAs with high accuracy and no learning at genome scale and from deep sequencing data | |
12¤ë09¤é | §õÅtÞ³ | Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line | |
12¤ë16¤é | »¯ùÚ³Ó | Structural signatures of antibiotic binding sites on the ribosome | |
12¤ë30¤é | §Å©sèû | Accurate quantification of transcriptome from RNA-Seq data by effective length normalization |