浼间箮杩樻病鏈夌牬瑙ｇ増鈥︹ 鈺(鈺-鈺)鈺紝涓嶈繃鍙互璇曡瘯杩欏効鐨刲icense鈥︹
(鎽樿嚜绉戝缃) 鏂板姛鑳戒粙缁嶏細
1. 鍙互灏嗗瓨鏀句簬涓汉鐢佃剳涓殑pdf鏂囦欢鎴栬呮枃浠跺す鍐呯殑pdf鐩存帴瀵煎叆鍒 endnote涓紝骞朵粠涓彁鍙栨枃鐚殑棰樺綍淇℃伅銆(寰堣禐锛)
2. 褰撳墠寰堝缃戠粶鍙戣〃鐨勭數瀛愭枃绔犲湪鏂囦腑寮曠敤澶勫拰鏂囧悗瀵瑰簲鐨勫弬鑰冩枃鐚仛浜嗛摼鎺ワ紝鏂扮増鏈疄鐜颁簡杩欎釜閾炬帴鍔熻兘銆
3.聽 Endnote web鐗堢殑鏈鏂板姛鑳藉彲浠ュ湪IE鎴栬匜irefox娴忚鍣ㄤ腑浜х敓鎻掍欢锛屽彲浠ョ洿鎺ユ姄鍙栫綉椤典腑鐨勬枃鐚俊鎭紝瀵煎叆endnote涓
4. 鏂扮増 鏈湪endnote鐨勭晫闈㈡坊鍔犱簡蹇熺紪杈戔淨uick Edit tab鈥濈殑鍔熻兘锛屼笉蹇呮墦寮鏂囩尞灏卞彲浠ュ疄鐜版枃鐚殑蹇熺紪杈戙
5. 鏂扮増鏈湪endnote宓屽叆鍒皐ord鐨勬彃浠朵腑锛屽姞寮轰簡寮曠敤缂栬緫鐨勫姛鑳姐
6. 鏂扮増鏈彲浠ュ湪鍙傝冩枃鐚殑澶氫綔鑰呭紩鐢ㄤ腑閲囩敤鐪佺暐鍙疯〃绀恒
7. 鏂扮増鏈姞寮轰簡style涓殑footnote涓у寲缂栬緫銆
8. 鍙互閫氳繃缁勫悎group鏂囩尞锛屽舰鎴愪竴涓柊鐨刧roup銆
]]>鐐归摼鎺ワ紝娉ㄥ唽甯愬彿锛屼笅杞斤紝瀹夎锛屽湪鐢佃剳閲屽缓绔嬩竴涓唴宓岀殑鏂囦欢澶(璺緞鑷)銆備换鍔℃爮鍑虹幇涓涓摑鑹瞓ox鍥炬爣锛屾渶濂借瀹冨紑鏈鸿嚜鍚姩銆備互涓嬭浆璐磋嚜锛http://www.wuxiancheng.com/blog/internet/dropbox/
涓銆佷粈涔堟槸 Dropbox?
Dropbox鏄竴娆捐蒋浠讹紝缃戠粶鍚屾浣犵殑鏂囦欢鍜岀數鑴戜氦鍙銆
鎶婁綘鐨勬枃浠舵斁鍏ropbox鏂囦欢鍦ㄤ竴 鍙拌绠楁満锛屼粬浠篃鍙兘浼氱珛鍗冲湪浣狅紝鎮ㄥ凡缁忓畨瑁呬簡锛堝湪Windows锛孧ac鍜孡inux鍛紒锛夌敱浜庝綘鐨勬枃浠剁殑鍓湰Dropbox浠讳綍鍏朵粬璁＄畻鏈哄彲鐢ㄧ殑瀛樺偍 Dropbox鐨勫畨鍏ㄦ湇鍔″櫒锛屾偍杩樺彲浠ヤ粠浠讳綍鐢佃剳鎴栫Щ鍔ㄨ澶囦娇鐢―ropbox鐨勭綉绔欍
浜屻佹枃浠跺悓姝
浣犵殑鏂囦欢闅忕潃Dropbox濮嬬粓淇濇寔鍚屾銆
鍋囪浣犳鍦ㄧ紪杈戠殑鏂囦欢鍦ㄥ閲屻備竴鏃︿綘鐐瑰嚮鈥欎繚瀛樷欙紝Dropbox浼氬悓姝ユ鐩稿悓鐨勬枃浠讹紝鎵鏈夊叾浠栬绠楁満绔嬪嵆鑷姩銆傚氨濂藉儚鎮ㄤ繚瀛樿鏂囦欢锛屾墍鏈 鐨勭數鑴戙傝繖浣挎偍鑷敱鍦板伐浣滐紝浣犵殑鐢佃剳涓婏紝濮嬬粓鏈変换浣曚綘闇瑕佺殑鏂囦欢銆
涓夈佹枃浠跺叡浜
Dropbox璁╀綘鍒嗕韩鏂囦欢寰堝鏄撱
鎮ㄥ彲浠ヨ交鏉惧湴鍒嗕韩鏁翠釜鏂囦欢澶规垨Dropbox鐩稿唽銆傜畝鍗曞湴澶硅鍒嗕韩鎮ㄥ湪Dropbox锛屽苟璇蜂汉缁欎粬浠備綘杩樺彲浠ユ淳浜洪摼鎺ュ埌鐗瑰畾鏂囦欢鍦ㄦ偍鐨 Dropbox銆傝繖浣垮緱Dropbox瀹岀編鐨勫洟闃熼」鐩
鍥涖佸湪绾垮浠
闅忕潃Dropbox锛屽湪绾垮浠芥槸鑷姩鐨勩
姣忔褰撲綘鎶婁綘鐨凞ropbox鏂囦欢澶逛腑鐨 鏂囦欢浼氳鑷姩澶囦唤鍒版垜浠畨鍏ㄧ殑鏈嶅姟鍣ㄣ傚鏋滄偍鐨勮绠楁満鏈変竴涓啍姣佷綘鐨勬枃浠舵槸瀹夊叏鐨凞ropbox锛屽彲浠ュ湪浠讳綍鏃堕棿鎭㈠銆傛垜浠2GB鐨勫厤璐圭┖闂村笎鎴锋槸瀹岀編鐨 澶囦唤鏂囦欢銆傛垜浠彁渚涙洿澶х殑甯愭埛锛堥珮杈100GB锛夛紝鐢ㄤ簬澶囦唤浣犵殑闊充箰鍜岃棰戞敹钘忋
浜斻佹挙閿鍜屾仮澶嶅垹闄
Dropbox璁╂偍鍥炲埌杩囧幓鍙栨秷鍒犻櫎鎴栨挙娑堝鏂囦欢杩涜鏇存敼銆
姣忔淇濆瓨鍦―ropbox鏂囦欢锛孌ropbox鍚屾鍒版垜浠畨鍏ㄧ殑鏈嶅姟鍣ㄣ Dropbox淇濆瓨浜嗘瘡涓涓彉鍖栫殑鍘嗗彶锛屼互渚挎偍鍙互鎾ゆ秷浠讳綍閿欒锛岀敋鑷虫仮澶嶅垹闄ょ殑鏂囦欢銆傞粯璁ゆ儏鍐典笅锛屾垜浠繚鎸佽繃鍘30澶╁唴鎾ゆ秷鎵鏈夋枃浠剁殑鍘嗗彶銆傛垜浠篃鏈夋棤 闄愭鐨勬挙閿鎵璋撶殑鈥淧ack-rat鈥濋夐」銆
鍏佹湁浠涔堝彲浠ユ浛浠ｅ畠鍛紵
Dropbox鏄竴涓畝鍗曠殑鏇夸唬锛屼綘鍙兘鍦ㄨ繃鍘讳娇鐢ㄣ
———浠嬬粛鍜屼娇鐢ㄧ殑鍒嗙晫绾————
鍙兘杩樻槸涓嶅鐩磋锛岃涓涓嬭繖涓ゅぉ鐨勫疄闄呭簲鐢ㄥソ浜嗐傚浠芥槸瀹冪殑鍩烘湰鍔熻兘锛屾垜瑙夊緱瀹冨姛鑳界簿楂撳湪浜庡崗鍚屽姙鍏
濂虫湅鍙嬭璁捐Race寮曠墿锛屽寘鍚簭鍒楃殑璁稿涓猟oc鏂囦欢杩樺湪鏁寸悊涓紝涓轰簡鑺傜害鏃堕棿锛屾垜甯屾湜濂规暣鐞嗕竴涓猟oc鎴戣兘璁捐涓涓猵rimer銆傜敤闂瓨鎷锋潵鎷峰幓澶垂鏃讹紝鐢ㄥ眬鍩熺綉鐨勫叡浜繕瑕佺箒鐞愯缃
涓や釜浜哄垎鍒敞鍐孌ropbox锛屽畨瑁呫傛垜璁惧畾浜嗕竴涓枃浠跺す锛屽彧鐢辨垜浠袱浜哄叡浜傚ス姣忓噯澶囧ソ涓涓猟oc鏂囨。锛屽氨澶嶅埗杩涘ス鐢佃剳鐨凞ropbox鏂囦欢澶癸紝鐒跺悗璇ユ枃浠朵細鑷姩鍚屾鍒扮綉缁滐紝鐒跺悗鑷姩鍚屾鍒版垜杩欏効锛屾垜鑳藉鍗虫椂鍦扮湅鍒帮紝鎴戣璁″ソ浜嗭紝淇濆瓨涓浠芥柊鐨勫紩鐗﹛ls锛屽悓鐞嗭紝濂归偅杈逛篃鑳藉嵆鏃剁湅鍒般
绠鍗曟潵璇达紝鎵鏈夌殑鎿嶄綔閮藉湪鏈湴锛岃杞欢鍜岀綉缁滀负鎴戜滑鑷姩瀹屾垚鏂囦欢鍏变韩/鏇存柊涔嬬被鐨勪簨鎯呫
涓嶄粎濡傛锛屼袱涓汉杩樺彲浠ュ紑涓猼xt鏂囨。鍗虫椂鑱婂ぉ锛屽洤鈥︹
———鎴戣繕鏄垎鐣岀嚎————
濡傛灉浣犺浣跨敤Ricepapers鐨Dropbox鏈嶅姟銆
1. 鑷繁娉ㄥ唽Dropbox锛屽苟鍛婄煡鎴戜綘鐨勬敞鍐岄偖绠憋紝鎴戞妸浣犳坊鍔犲叆鍏变韩鍚嶅崟銆
2. 浣犵殑鐢佃剳浼氬嚭鐜颁竴涓淩icepapers.cn鏇存柊鈥濈殑鍏变韩鏂囦欢澶癸紝绛夋鏃堕棿锛屽氨浼氬悓姝ュ埌鎵鏈夋垜瀛樹簬缃戠粶鐨勬枃绔犮
3. 涓嬫濡傛灉鏈夋柊鏂囩珷锛屾垜杩欏効涓嬭浇 -銆嬭嚜鍔ㄥ悓姝ュ埌缃戠粶 -銆嬭嚜鍔ㄥ悓姝ュ埌浣犵殑鐢佃剳涓娿備綘涔熷彲浠ュ鍒惰繘鍘绘渶鏂扮殑鏂囩珷锛屽叡浜粰鎵鏈変汉銆
4. 鏂囩尞鍜岃祫鏂欏叡浜枃浠跺す锛屽彧渚涙祻瑙堟垨娣诲姞锛屾暚璇峰嬁鍒犲拰鏀瑰姩锛屼繚璇佷笉浼氬崰浣犵‖鐩樺お澶х殑绌洪棿銆傦紙鐜板湪Dropbox鍏变韩鏉冮檺鏈変簺绠鍗曪紝鎵鏈変汉閮芥湁鍏ㄦ潈闄愶紝浣犵殑涓涓敼鍔ㄤ細褰卞搷鎵鏈変汉锛濡傛灉鏈夐渶瑕侊紝璇锋妸鏂囩尞澶嶅埗鍑烘鍏变韩鏂囦欢澶瑰啀闅忎究鏀瑰姩銆
5. 娆㈣繋澶у娣诲姞鍏朵粬涓滆タ锛屾瘮濡傝蒋浠跺畨瑁咃紝鐢熺墿鏁欑▼涔嬬被锛岀敋鑷宠亰澶┾︹
涓骞舵墦鍖呫涓嬭浇鐐规垜
]]>Available online 28 December 2009.
Omics meet networks 鈥 using systems approaches to infer regulatory networks in plants 
鍚勭缁勫鏁版嵁搴撶殑缁撳悎搴旂敤锛屾潵鐮旂┒浠ｈ阿璋冩帶缃戠粶銆
Many genomic-scale datasets in plants have been generated over the last few years. This substantial achievement has led to impressive progress, including some of the most detailed molecular maps in any multicellular organism. Networks and pathways have been reconstructed using transcriptome, genome-wide transcription factor binding, proteome and metabolome data, and subsequently used to infer functional interactions among genes, proteins, and metabolites. However, more sophisticated systems biology approaches are needed to integrate different omics datasets. Ultimately, the integration of diverse and massive datasets into coherent models will improve our understanding of the molecular networks that underlie biological processes.
Cis-regulatory elements in plant cell signaling.
鏌愪綅鍙懆宄扮殑钁楀悕鍗氬＋鏋佸姏鎺ㄨ崘涔嬧︹﹀搱鍝 
鏂囩珷鎻愪緵浜嗗緢澶氬鎵鹃『寮忎綔鐢ㄥ厓浠剁浉鍏崇殑宸ュ叿锛岀綉鍧涔嬬被锛岀‘瀹炴尯鏈夌敤銆
]]>铔嬬櫧绾寲锛Ni-NTA His Bind Resins
]]>http://www.cambia.org/daisy/cambia/585.html pCambia绯诲垪杞戒綋
http://products.invitrogen.com/ivgn/en/US/adirect/invitrogen?cmd=IVGNcatDisplayCategory&catKey=82401 invitrogen鍏徃鐨勮浇浣撻泦
https://www.lablife.org/ct?a=listvecinfo 鎸夌収杞戒綋楠ㄦ灦瀵绘壘鐨勬暟鎹簱
http://www.embl-hamburg.de/~geerlof/webPP/vectordb/bact_vectors/table.html 杩欎釜鏄悳绱㈠埌鐨勶紝搴旇鏄竴浜涙瘮杈冨父鐢ㄧ殑杞戒綋
鍚勫ぇ鐢熺墿璁哄潧鍏跺疄涔熸槸瀵绘壘鍥捐氨锛岀敋鑷冲拰鍒汉浜ゆ崲鏈夌敤杞戒綋鐨勫ソ鍦版柟鈥︹
]]>鍒╃敤鐢熺墿淇℃伅瀛﹀伐鍏凤紝缁撳悎杞綍缁勫铔嬬櫧缁勫鐨勪俊鎭紝濡備綍鏈夋晥寤虹珛淇″彿浼犲閫斿緞鐨勭綉缁滄ā鍨嬶紵璇ユ枃绔犺鐨勬槸鎷熷崡鑺ワ紝娑夊強寰堝缃戝潃銆佹暟鎹簱銆佽蒋浠讹紝鏈夊叴瓒ｇ殑鍙傝冨惂銆
Over the last years a number of bioinformatic software programs have been developed in the area of molecular biology. The application of these bioinformatic tools to the wealth of existing transcriptomic and proteomic data can be used to predict the structure and hierarchy of signalling pathways and gene networks. In genetically tractable model organisms such as Arabidopsis thaliana, these hyphotheses can be validated experimentally and modified in reiterative cycles, giving hypothesis-driven research high feasibility. These predictive systems biology approaches significantly reduce the scale, time and manpower usually required in classical approaches. Here, we provide an overview on the use of currently available tools in deciphering signalling pathways in Arabidopsis research.
]]>锛堟湁浜涙槸鏈鏂板垔锛屾湁浜涘儚Plant Cell 鏄 鈥渁head of print鈥 鐨勶級
Annual Review of Plant Biology:
http://rss.proquest.com/rss?rss_id=767489
CELL:
http://www.cell.com/rssFeed/Cell/rss.NewIssueAndArticles.xml
Current Opinion in Plant Biology:
http://rss.sciencedirect.com/publication/science/6252
Nature:
http://www.nature.com/nature/current_issue/rss/
Nature Genetics:
http://feeds.nature.com/ng/rss/current
Plant Cell:
http://www.plantcell.org/rss/ahead.xml
Plant Physiology:
http://www.plantphysiol.org/rss/ahead.xml
Science:
http://www.sciencemag.org/rss/current.xml
The Plant Journal:
http://www3.interscience.wiley.com/rss/journal/118488398
Trends in Plant Science:
http://rss.sciencedirect.com/publication/science/5185
瀹屾暣Excel涓嬭浇锛鐐规垜
杩欎釜Excel寰堝ぇ锛>6000鐨勬潅蹇椼傛湁娌℃湁璋佹湁鐢熺墿绫荤殑IF鏁寸悊鍛紵
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