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101.
102.
DiDonato M Krishna SS Schwarzenbacher R McMullan D Jaroszewski L Miller MD Abdubek P Agarwalla S Ambing E Axelrod H Biorac T Chiu HJ Deacon AM Elsliger MA Feuerhelm J Godzik A Grittini C Grzechnik SK Hale J Hampton E Haugen J Hornsby M Klock HE Knuth MW Koesema E Kreusch A Kuhn P Lesley SA Moy K Nigoghossian E Okach L Paulsen J Quijano K Reyes R Rife C Spraggon G Stevens RC van den Bedem H Velasquez J White A Wolf G Xu Q Hodgson KO Wooley J Wilson IA 《Proteins》2006,63(1):256-260
103.
Mathews II Krishna SS Schwarzenbacher R McMullan D Jaroszewski L Miller MD Abdubek P Agarwalla S Ambing E Axelrod HL Canaves JM Carlton D Chiu HJ Clayton T DiDonato M Duan L Elsliger MA Grzechnik SK Hale J Hampton E Haugen J Jin KK Klock HE Koesema E Kovarik JS Kreusch A Kuhn P Levin I Morse AT Nigoghossian E Okach L Oommachen S Paulsen J Quijano K Reyes R Rife CL Spraggon G Stevens RC van den Bedem H White A Wolf G Xu Q Hodgson KO Wooley J Deacon AM Godzik A Lesley SA Wilson IA 《Proteins》2006,65(1):249-254
104.
Han GW Sri Krishna S Schwarzenbacher R McMullan D Ginalski K Elsliger MA Brittain SM Abdubek P Agarwalla S Ambing E Astakhova T Axelrod H Canaves JM Chiu HJ DiDonato M Grzechnik SK Hale J Hampton E Haugen J Jaroszewski L Jin KK Klock HE Knuth MW Koesema E Kreusch A Kuhn P Miller MD Morse AT Moy K Nigoghossian E Oommachen S Ouyang J Paulsen J Quijano K Reyes R Rife C Spraggon G Stevens RC van den Bedem H Velasquez J Wang X West B White A Wolf G Xu Q Hodgson KO Wooley J Deacon AM Godzik A 《Proteins》2006,64(4):1083-1090
105.
Xu Q Krishna SS McMullan D Schwarzenbacher R Miller MD Abdubek P Agarwalla S Ambing E Astakhova T Axelrod HL Canaves JM Carlton D Chiu HJ Clayton T DiDonato M Duan L Elsliger MA Feuerhelm J Grzechnik SK Hale J Hampton E Han GW Haugen J Jaroszewski L Jin KK Klock HE Knuth MW Koesema E Kreusch A Kuhn P Morse AT Nigoghossian E Okach L Oommachen S Paulsen J Quijano K Reyes R Rife CL Spraggon G Stevens RC van den Bedem H White A Wolf G Hodgson KO Wooley J Deacon AM Godzik A Lesley SA Wilson IA 《Proteins》2006,65(3):777-782
106.
DiDonato M Krishna SS Schwarzenbacher R McMullan D Agarwalla S Brittain SM Miller MD Abdubek P Ambing E Axelrod HL Canaves JM Chiu HJ Deacon AM Duan L Elsliger MA Godzik A Grzechnik SK Hale J Hampton E Haugen J Jaroszewski L Jin KK Klock HE Knuth MW Koesema E Kreusch A Kuhn P Lesley SA Levin I Morse AT Nigoghossian E Okach L Oommachen S Paulsen J Quijano K Reyes R Rife CL Spraggon G Stevens RC van den Bedem H White A Wolf G Xu Q Hodgson KO Wooley J Wilson IA 《Proteins》2006,65(3):771-776
107.
Edelman E Porrello A Guinney J Balakumaran B Bild A Febbo PG Mukherjee S 《Bioinformatics (Oxford, England)》2006,22(14):e108-e116
MOTIVATION: Gene expression profiling experiments in cell lines and animal models characterized by specific genetic or molecular perturbations have yielded sets of genes annotated by the perturbation. These gene sets can serve as a reference base for interrogating other expression datasets. For example, a new dataset in which a specific pathway gene set appears to be enriched, in terms of multiple genes in that set evidencing expression changes, can then be annotated by that reference pathway. We introduce in this paper a formal statistical method to measure the enrichment of each sample in an expression dataset. This allows us to assay the natural variation of pathway activity in observed gene expression data sets from clinical cancer and other studies. RESULTS: Validation of the method and illustrations of biological insights gleaned are demonstrated on cell line data, mouse models, and cancer-related datasets. Using oncogenic pathway signatures, we show that gene sets built from a model system are indeed enriched in the model system. We employ ASSESS for the use of molecular classification by pathways. This provides an accurate classifier that can be interpreted at the level of pathways instead of individual genes. Finally, ASSESS can be used for cross-platform expression models where data on the same type of cancer are integrated over different platforms into a space of enrichment scores. AVAILABILITY: Versions are available in Octave and Java (with a graphical user interface). Software can be downloaded at http://people.genome.duke.edu/assess. 相似文献
108.
Ara C Karabulut AB Kirimlioglu H Yilmaz M Kirimliglu V Yilmaz S 《Cell biochemistry and function》2006,24(5):443-448
Postoperative intraperitoneal adhesion formation is a major cause of intestinal obstruction, pain and infertility. This experimental study was designed to evaluate the degree of adhesion formation and peritoneal tissue levels of malondialdehyde (MDA), reduced glutathione (GSH) and total nitrite and nitrate (NO) and the effect of aminoguanidine (AG) on these metabolite values after postoperative intraperitoneal adhesion formation in rats. A total of 21 adult male Wistar albino rats were randomly divided into three groups. Control rats were untreated; the AG group received AG 200 mg kg(-1) i.p. for 10 consecutive days intraperitoneally after surgery. The sham group was given 0.9% NaCl. The rats were killed on postoperative day 10. The peritoneal tissues were harvested to determine the tissue levels of MDA, GSH, and NO activity. For light microscopic evaluation, the cecum was removed. Adhesion formation scores in the AG group were significantly lower than those of the control and sham groups (p < 0.017, p < 0.026 respectively). In the AG-treated rats, tissue levels of MDA and NO were significantly lower than in the control group (p < 0.017). The levels of GSH in aminoguanidine-treated rats were significantly higher than those of the control group (p < 0.01). The severity of the inflammation was more prominent in the control group compared with the AG-injected rats. The results demonstrate that in this experimental model, intraperitoneal administration of aminoguanidine decreases the incidence and extent of peritoneal adhesions and causes a decrease in MDA and NO and an increase in GSH values. 相似文献
109.
110.
Two key components of mammalian heterochromatin that play a structural role in higher order chromatin organization are the heterochromatin protein 1alpha (HP1alpha) and the linker histone H1. Here, we show that these proteins interact in vivo and in vitro through their hinge and C-terminal domains, respectively. The phosphorylation of H1 by CDK2, which is required for efficient cell cycle progression, disrupts this interaction. We propose that phosphorylation of H1 provides a signal for the disassembly of higher order chromatin structures during interphase, independent of histone H3-lysine 9 (H3-K9) methylation, by reducing the affinity of HP1alpha for heterochromatin. 相似文献